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Active filters for integrated-circuit applications / / Fred H. Irons
| Active filters for integrated-circuit applications / / Fred H. Irons |
| Autore | Irons Fred H. |
| Pubbl/distr/stampa | Boston : , : Artech House, , 2005 |
| Descrizione fisica | 1 online resource (421 p.) |
| Disciplina | 621.3815/324 |
| Collana | Artech House microwave library |
| Soggetto topico |
Electric filters, Active
Integrated circuits - Design and construction |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-58053-897-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Active Filters for Integrated-Circuit Applications; Contents v; Preface ix; Acknowledgments xiii; Chapter 1 Introduction 1; Chapter 2 Review of Circuit Analysis Concepts 15; Chapter 3 Frequency Effects in Feedback Circuits 57; Chapter 4 Some Opamp Design Considerations 81; Chapter 5 Operational Design of Active Filters 153; Chapter 6 Network Sensitivity and Leapfrong Filters 217; Chapter 7 Switched Capacitor Concepts 259; Chapter 8 The Approximation Problem 313; About the Author 403; Index 405. |
| Record Nr. | UNINA-9910451041503321 |
Irons Fred H.
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| Boston : , : Artech House, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Active filters for integrated-circuit applications / / Fred H. Irons
| Active filters for integrated-circuit applications / / Fred H. Irons |
| Autore | Irons Fred H. |
| Pubbl/distr/stampa | Boston : , : Artech House, , 2005 |
| Descrizione fisica | 1 online resource (421 p.) |
| Disciplina | 621.3815/324 |
| Collana | Artech House microwave library |
| Soggetto topico |
Electric filters, Active
Integrated circuits - Design and construction |
| ISBN | 1-58053-897-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Active Filters for Integrated-Circuit Applications; Contents v; Preface ix; Acknowledgments xiii; Chapter 1 Introduction 1; Chapter 2 Review of Circuit Analysis Concepts 15; Chapter 3 Frequency Effects in Feedback Circuits 57; Chapter 4 Some Opamp Design Considerations 81; Chapter 5 Operational Design of Active Filters 153; Chapter 6 Network Sensitivity and Leapfrong Filters 217; Chapter 7 Switched Capacitor Concepts 259; Chapter 8 The Approximation Problem 313; About the Author 403; Index 405. |
| Record Nr. | UNINA-9910784136003321 |
|
Irons Fred H.
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||
| Boston : , : Artech House, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Active filters for integrated-circuit applications / / Fred H. Irons
| Active filters for integrated-circuit applications / / Fred H. Irons |
| Autore | Irons Fred H |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Boston, : Artech House, c2005 |
| Descrizione fisica | 1 online resource (421 p.) |
| Disciplina | 621.3815/324 |
| Collana | Artech House microwave library |
| Soggetto topico |
Electric filters, Active
Integrated circuits - Design and construction |
| ISBN |
9781580538978
1580538975 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Active Filters for Integrated-Circuit Applications; Contents v; Preface ix; Acknowledgments xiii; Chapter 1 Introduction 1; Chapter 2 Review of Circuit Analysis Concepts 15; Chapter 3 Frequency Effects in Feedback Circuits 57; Chapter 4 Some Opamp Design Considerations 81; Chapter 5 Operational Design of Active Filters 153; Chapter 6 Network Sensitivity and Leapfrong Filters 217; Chapter 7 Switched Capacitor Concepts 259; Chapter 8 The Approximation Problem 313; About the Author 403; Index 405. |
| Record Nr. | UNINA-9910952306303321 |
|
Irons Fred H
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| Boston, : Artech House, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive filters [[electronic resource] ] : theory and applications / / Behrouz Farhang-Boroujeny
| Adaptive filters [[electronic resource] ] : theory and applications / / Behrouz Farhang-Boroujeny |
| Autore | Farhang-Boroujeny B |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester, West Sussex, U.K., : Wiley, [2013] |
| Descrizione fisica | xx, 778 p. : ill |
| Disciplina | 621.3815/324 |
| Soggetto topico |
Adaptive filters
Adaptive signal processing |
| ISBN |
1-118-59134-8
1-118-59135-6 1-118-59133-X 1-299-46521-8 |
| Classificazione |
547.1
621.3815/324 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910796100203321 |
|
Farhang-Boroujeny B
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||
| Chichester, West Sussex, U.K., : Wiley, [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive filters : theory and applications / / Behrouz Farhang-Boroujeny
| Adaptive filters : theory and applications / / Behrouz Farhang-Boroujeny |
| Autore | Farhang-Boroujeny B |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester, West Sussex, U.K., : Wiley, [2013] |
| Descrizione fisica | xx, 778 p. : ill |
| Disciplina | 621.3815/324 |
| Soggetto topico |
Adaptive filters
Adaptive signal processing |
| ISBN |
1-118-59134-8
1-118-59135-6 1-118-59133-X 1-299-46521-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- Preface -- Acknowledgments -- Chapter 1 Introduction -- 1.1 Linear Filters -- 1.2 Adaptive Filters -- 1.3 Adaptive Filter Structures -- 1.4 Adaptation Approaches -- 1.4.1 Approach Based on Wiener Filter Theory -- 1.4.2 Method of Least-Squares -- 1.5 Real and Complex Forms of Adaptive Filters -- 1.6 Applications -- 1.6.1 Modeling -- 1.6.2 Inverse Modeling -- 1.6.3 Linear Prediction -- 1.6.4 Interference Cancellation -- Chapter 2 Discrete-Time Signals and Systems -- 2.1 Sequences and z-Transform -- 2.2 Parseval's Relation -- 2.3 System Function -- 2.4 Stochastic Processes -- 2.4.1 Stochastic Averages -- 2.4.2 z-Transform Representations -- 2.4.3 The Power Spectral Density -- 2.4.4 Response of Linear Systems to Stochastic Processes -- 2.4.5 Ergodicity and Time Averages -- Problems -- Chapter 3 Wiener Filters -- 3.1 Mean-Squared Error Criterion -- 3.2 Wiener Filter-Transversal, Real-Valued Case -- 3.3 Principle of Orthogonality -- 3.4 Normalized Performance Function -- 3.5 Extension to Complex-Valued Case -- 3.6 Unconstrained Wiener Filters -- 3.6.1 Performance Function -- 3.6.2 Optimum Transfer Function -- 3.6.3 Modeling -- 3.6.4 Inverse Modeling -- 3.6.5 Noise Cancellation -- 3.7 Summary and Discussion -- Problems -- Chapter 4 Eigenanalysis and Performance Surface -- 4.1 Eigenvalues and Eigenvectors -- 4.2 Properties of Eigenvalues and Eigenvectors -- 4.3 Performance Surface -- Problems -- Chapter 5 Search Methods -- 5.1 Method of Steepest Descent -- 5.2 Learning Curve -- 5.3 Effect of Eigenvalue Spread -- 5.4 Newton's Method -- 5.5 An Alternative Interpretation of Newton's Algorithm -- Problems -- Chapter 6 LMS Algorithm -- 6.1 Derivation of LMS Algorithm -- 6.2 Average Tap-Weight Behavior of the LMS Algorithm -- 6.3 MSE Behavior of the LMS Algorithm -- 6.3.1 Learning Curve.
6.3.2 Weight-Error Correlation Matrix -- 6.3.3 Excess MSE and Misadjustment -- 6.3.4 Stability -- 6.3.5 The Effect of Initial Values of Tap Weights on the Transient Behavior of the LMS Algorithm -- 6.4 Computer Simulations -- 6.4.1 System Modeling -- 6.4.2 Channel Equalization -- 6.4.3 Adaptive Line Enhancement -- 6.4.4 Beamforming -- 6.5 Simplified LMS Algorithms -- 6.6 Normalized LMS Algorithm -- 6.7 Affine Projection LMS Algorithm -- 6.8 Variable Step-Size LMS Algorithm -- 6.9 LMS Algorithm for Complex-Valued Signals -- 6.10 Beamforming (Revisited) -- 6.11 Linearly Constrained LMS Algorithm -- 6.11.1 Statement of the Problem and Its Optimal Solution -- 6.11.2 Update Equations -- 6.11.3 Extension to the Complex-Valued Case -- Problems -- Chapter 7 Transform Domain Adaptive Filters -- 7.1 Overview of Transform Domain Adaptive Filters -- 7.2 Band-Partitioning Property of Orthogonal Transforms -- 7.3 Orthogonalization Property of Orthogonal Transforms -- 7.4 Transform Domain LMS Algorithm -- 7.5 Ideal LMS-Newton Algorithm and Its Relationship with TDLMS -- 7.6 Selection of the Transform T -- 7.6.1 A Geometrical Interpretation -- 7.6.2 A Useful Performance Index -- 7.6.3 Improvement Factor and Comparisons -- 7.6.4 Filtering View -- 7.7 Transforms -- 7.8 Sliding Transforms -- 7.8.1 Frequency Sampling Filters -- 7.8.2 Recursive Realization of Sliding Transforms -- 7.8.3 Nonrecursive Realization of Sliding Transforms -- 7.8.4 Comparison of Recursive and Nonrecursive Sliding Transforms -- 7.9 Summary and Discussion -- Problems -- Chapter 8 Block Implementation of Adaptive Filters -- 8.1 Block LMS Algorithm -- 8.2 Mathematical Background -- 8.2.1 Linear Convolution Using the Discrete Fourier Transform -- 8.2.2 Circular Matrices -- 8.2.3 Window Matrices and Matrix Formulation of the Overlap-Save Method -- 8.3 The FBLMS Algorithm. 8.3.1 Constrained and Unconstrained FBLMS Algorithms -- 8.3.2 Convergence Behavior of the FBLMS Algorithm -- 8.3.3 Step-Normalization -- 8.3.4 Summary of the FBLMS Algorithm -- 8.3.5 FBLMS Misadjustment Equations -- 8.3.6 Selection of the Block Length -- 8.4 The Partitioned FBLMS Algorithm -- 8.4.1 Analysis of the PFBLMS Algorithm -- 8.4.2 PFBLMS Algorithm with M > -- L -- 8.4.3 PFBLMS Misadjustment Equations -- 8.4.4 Computational Complexity and Memory Requirement -- 8.4.5 Modified Constrained PFBLMS Algorithm -- 8.5 Computer Simulations -- Problems -- Chapter 9 Subband Adaptive Filters -- 9.1 DFT Filter Banks -- 9.1.1 Weighted Overlap-Add Method for Realization of DFT Analysis Filter Banks -- 9.1.2 Weighted Overlap-Add Method for Realization of DFT Synthesis Filter Banks -- 9.2 Complementary Filter Banks -- 9.3 Subband Adaptive Filter Structures -- 9.4 Selection of Analysis and Synthesis Filters -- 9.5 Computational Complexity -- 9.6 Decimation Factor and Aliasing -- 9.7 Low-Delay Analysis and Synthesis Filter Banks -- 9.7.1 Design Method -- 9.7.2 Filters Properties -- 9.8 A Design Procedure for Subband Adaptive Filters -- 9.9 An Example -- 9.10 Comparison with FBLMS Algorithm -- Problems -- Chapter 10 IIR Adaptive Filters -- 10.1 Output Error Method -- 10.2 Equation Error Method -- 10.3 Case Study I: IIR Adaptive Line Enhancement -- 10.3.1 IIR ALE Filter, W(z) -- 10.3.2 Performance Functions -- 10.3.3 Simultaneous Adaptation of s and w -- 10.3.4 Robust Adaptation of w -- 10.3.5 Simulation Results -- 10.4 Case Study II: Equalizer Design for Magnetic Recording Channels -- 10.4.1 Channel Discretization -- 10.4.2 Design Steps -- 10.4.3 FIR Equalizer Design -- 10.4.4 Conversion from FIR into IIR Equalizer -- 10.4.5 Conversion from z Domain into s Domain -- 10.4.6 Numerical Results -- 10.5 Concluding Remarks -- Problems -- Chapter 11 Lattice Filters. 11.1 Forward Linear Prediction -- 11.2 Backward Linear Prediction -- 11.3 Relationship Between Forward and Backward Predictors -- 11.4 Prediction-Error Filters -- 11.5 Properties of Prediction Errors -- 11.6 Derivation of Lattice Structure -- 11.7 Lattice as an Orthogonalization Transform -- 11.8 Lattice Joint Process Estimator -- 11.9 System Functions -- 11.10 Conversions -- 11.10.1 Conversion Between Lattice and Transversal Predictors -- 11.10.2 Levinson-Durbin Algorithm -- 11.10.3 Extension of Levinson-Durbin Algorithm -- 11.11 All-Pole Lattice Structure -- 11.12 Pole-Zero Lattice Structure -- 11.13 Adaptive Lattice Filter -- 11.13.1 Discussion and Simulations -- 11.14 Autoregressive Modeling of Random Processes -- 11.15 Adaptive Algorithms Based on Autoregressive Modeling -- 11.15.1 Algorithms -- 11.15.2 Performance Analysis -- 11.15.3 Simulation Results and Discussion -- Problems -- Chapter 12 Method of Least-Squares -- 12.1 Formulation of Least-Squares Estimation for a Linear Combiner -- 12.2 Principle of Orthogonality -- 12.3 Projection Operator -- 12.4 Standard Recursive Least-Squares Algorithm -- 12.4.1 RLS Recursions -- 12.4.2 Initialization of the RLS Algorithm -- 12.4.3 Summary of the Standard RLS Algorithm -- 12.5 Convergence Behavior of the RLS Algorithm -- 12.5.1 Average Tap-Weight Behavior of the RLS Algorithm -- 12.5.2 Weight-Error Correlation Matrix -- 12.5.3 Learning Curve -- 12.5.4 Excess MSE and Misadjustment -- 12.5.5 Initial Transient Behavior of the RLS Algorithm -- Problems -- Chapter 13 Fast RLS Algorithms -- 13.1 Least-Squares Forward Prediction -- 13.2 Least-Squares Backward Prediction -- 13.3 Least-Squares Lattice -- 13.4 RLSL Algorithm -- 13.4.1 Notations and Preliminaries -- 13.4.2 Update Recursion for the Least-Squares Error Sums -- 13.4.3 Conversion Factor -- 13.4.4 Update Equation for Conversion Factor. 13.4.5 Update Equation for Cross-Correlations -- 13.4.6 RLSL Algorithm Using A Posteriori Errors -- 13.4.7 RLSL Algorithm with Error Feedback -- 13.5 FTRLS Algorithm -- 13.5.1 Derivation of the FTRLS Algorithm -- 13.5.2 Summary of the FTRLS Algorithm -- 13.5.3 Stabilized FTRLS Algorithm -- Problems -- Chapter 14 Tracking -- 14.1 Formulation of the Tracking Problem -- 14.2 Generalized Formulation of LMS Algorithm -- 14.3 MSE Analysis of the Generalized LMS Algorithm -- 14.4 Optimum Step-Size Parameters -- 14.5 Comparisons of Conventional Algorithms -- 14.6 Comparisons Based on Optimum Step-Size Parameters -- 14.7 VSLMS: An Algorithm with Optimum Tracking Behavior -- 14.7.1 Derivation of VSLMS Algorithm -- 14.7.2 Variations and Extensions -- 14.7.3 Normalization of the Parameter ρ -- 14.7.4 Computer Simulations -- 14.8 RLS Algorithm with Variable Forgetting Factor -- 14.9 Summary -- Problems -- Chapter 15 Echo Cancellation -- 15.1 The Problem Statement -- 15.2 Structures and Adaptive Algorithms -- 15.2.1 Normalized LMS (NLMS) Algorithm -- 15.2.2 Affine Projection LMS (APLMS) Algorithm -- 15.2.3 Frequency Domain Block LMS Algorithm -- 15.2.4 Subband LMS Algorithm -- 15.2.5 LMS-Newton Algorithm -- 15.2.6 Numerical Results -- 15.3 Double-Talk Detection -- 15.3.1 Coherence Function -- 15.3.2 Double-Talk Detection Using the Coherence Function -- 15.3.3 Numerical Evaluation of the Coherence Function -- 15.3.4 Power-Based Double-Talk Detectors -- 15.3.5 Numerical Results -- 15.4 Howling Suppression -- 15.4.1 Howling Suppression Through Notch Filtering -- 15.4.2 Howling Suppression by Spectral Shift -- 15.5 Stereophonic Acoustic Echo Cancellation -- 15.5.1 The Fundamental Problem -- 15.5.2 Reducing Coherence Between x1(n) and x2(n) -- 15.5.3 The LMS-Newton Algorithm for Stereophonic Systems -- Chapter 16 Active Noise Control. 16.1 Broadband Feedforward Single-Channel ANC. |
| Record Nr. | UNINA-9910971850203321 |
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Farhang-Boroujeny B
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| Chichester, West Sussex, U.K., : Wiley, [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Adaptive filters / / Ali H. Sayed
| Adaptive filters / / Ali H. Sayed |
| Autore | Sayed Ali H |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, : IEEE Press, c2008 |
| Descrizione fisica | 1 online resource (820 p.) |
| Disciplina | 621.3815/324 |
| Soggetto topico | Adaptive filters |
| ISBN |
1-118-21084-0
1-281-37431-8 9786611374310 0-470-37412-8 0-470-37411-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface and Acknowledgments -- Notation and Symbols -- BACKGROUND MATERIAL -- A. Random Variables -- A.1 Variance of a Random Variable -- A.2 Dependent Random Variables -- A.3 Complex-Valued Random Variables -- A.4 Vector-Valued Random Variables -- A.5 Gaussian Random Vectors -- B. Linear Algebra -- B.1 Hermitian and Positive-Definite Matrices -- B.2 Range Spaces and Nullspaces of Matrices -- B.3 Schur Complements -- B.4 Cholesky Factorization -- B.5 QR Decomposition -- B.6 Singular Value Decomposition -- B.7 Kronecker Products -- C. Complex Gradients -- C.1 Cauchy-Riemann Conditions -- C.2 Scalar Arguments -- C.3 Vector Arguments -- PART I: OPTIMAL ESTIMATION -- 1. Scalar-Valued Data -- 1.1 Estimation Without Observations -- 1.2 Estimation Given Dependent Observations -- 1.3 Orthogonality Principle -- 1.4 Gaussian Random Variables -- 2. Vector-Valued Data -- 2.1 Optimal Estimator in the Vector Case -- 2.2 Spherically Invariant Gaussian Variables -- 2.3 Equivalent Optimization Criterion -- Summary and Notes -- Problems and Computer Projects -- PART II: LINEAR ESTIMATION -- 3. Normal Equations -- 3.1 Mean-Square Error Criterion -- 3.2 Minimization by Differentiation -- 3.3 Minimization by Completion-of-Squares -- 3.4 Minimization of the Error Covariance Matrix -- 3.5 Optimal Linear Estimator -- 4. Orthogonality Principle -- 4.1 Design Examples -- 4.2 Orthogonality Condition -- 4.3 Existence of Solutions -- 4.4 Nonzero-Mean Variables -- 5. Linear Models -- 5.1 Estimation using Linear Relations -- 5.2 Application: Channel Estimation -- 5.3 Application: Block Data Estimation -- 5.4 Application: Linear Channel Equalization -- 5.5 Application: Multiple-Antenna Receivers -- 6. Constrained Estimation -- 6.1 Minimum-Variance Unbiased Estimation -- 6.2 Example: Mean Estimation -- 6.3 Application: Channel and Noise Estimation -- 6.4 Application: Decision Feedback Equalization -- 6.5 Application: Antenna Beamforming -- 7. Kalman Filter.
7.1 Innovations Process -- 7.2 State-Space Model -- 7.3 Recursion for the State Estimator -- 7.4 Computing the Gain Matrix -- 7.5 Riccati Recursion -- 7.6 Covariance Form -- 7.7 Measurement and Time-Update Form -- Summary and Notes -- Problems and Computer Projects -- PART III: STOCHASTIC GRADIENT ALGORITHMS -- 8. Steepest-Descent Technique -- 8.1 Linear Estimation Problem -- 8.2 Steepest-Descent Method -- 8.3 More General Cost Functions -- 9. Transient Behavior -- 9.1 Modes of Convergence -- 9.2 Optimal Step-Size -- 9.3 Weight-Error Vector Convergence -- 9.4 Time Constants -- 9.5 Learning Curve -- 9.6 Contour Curves of the Error Surface -- 9.7 Iteration-Dependent Step-Sizes -- 9.8 Newton?s Method -- 10. LMS Algorithm -- 10.1 Motivation -- 10.2 Instantaneous Approximation -- 10.3 Computational Cost -- 10.4 Least-Perturbation Property -- 10.5 Application: Adaptive Channel Estimation -- 10.6 Application: Adaptive Channel Equalization -- 10.7 Application: Decision-Feedback Equalization -- 10.8 Ensemble-Average Learning Curves -- 11. Normalized LMS Algorithm -- 11.1 Instantaneous Approximation -- 11.2 Computational Cost -- 11.3 Power Normalization -- 11.4 Least-Perturbation Property -- 12. Other LMS-Type Algorithms -- 12.1 Non-Blind Algorithms -- 12.2 Blind Algorithms -- 12.3 Some Properties -- 13. Affine Projection Algorithm -- 13.1 Instantaneous Approximation -- 13.2 Computational Cost -- 13.3 Least-Perturbation Property -- 13.4 Affine Projection Interpretation -- 14. RLS Algorithm -- 14.1 Instantaneous Approximation -- 14.2 Computational Cost -- Summary and Notes -- Problems and Computer Projects -- PART IV: MEAN-SQUARE PERFORMANCE -- 15. Energy Conservation -- 15.1 Performance Measure -- 15.2 Stationary Data Model -- 15.3 Energy Conservation Relation -- 15.4 Variance Relation -- 15.A Interpretations of the Energy Relation -- 16. Performance of LMS -- 16.1 Variance Relation -- 16.2 Small Step-Sizes -- 16.3 Separation Principle. 16.4 White Gaussian Input -- 16.5 Statement of Results -- 16.6 Simulation Results -- 17. Performance of NLMS -- 17.1 Separation Principle -- 17.2 Simulation Results -- 17.A Relating NLMS to LMS -- 18. Performance of Sign-Error LMS -- 18.1 Real-Valued Data -- 18.2 Complex-Valued Data -- 18.3 Simulation Results -- 19. Performance of RLS and Other Filters -- 19.1 Performance of RLS -- 19.2 Performance of Other Filters -- 19.3 Performance Table for Small Step-Sizes -- 20. Nonstationary Environments -- 20.1 Motivation -- 20.2 Nonstationary Data Model -- 20.3 Energy Conservation Relation -- 20.4 Variance Relation -- 21. Tracking Performance -- 21.1 Performance of LMS -- 21.2 Performance of NLMS -- 21.3 Performance of Sign-Error LMS -- 21.4 Performance of RLS -- 21.5 Comparison of Tracking Performance -- 21.6 Comparing RLS and LMS -- 21.7 Performance of Other Filters -- 21.8 Performance Table for Small Step-Sizes -- Summary and Notes -- Problems and Computer Projects -- PART V: TRANSIENT PERFORMANCE -- 22. Weighted Energy Conservation -- 22.1 Data Model -- 22.2 Data-Normalized Adaptive Filters -- 22.3 Weighted Energy Conservation Relation -- 22.4 Weighted Variance Relation -- 23. LMS with Gaussian Regressors -- 23.1 Mean and Variance Relations -- 23.2 Mean Behavior -- 23.3 Mean-Square Behavior -- 23.4 Mean-Square Stability -- 23.5 Steady-State Performance -- 23.6 Small Step-Size Approximations -- 23.A Convergence Time -- 24. LMS with non-Gaussian Regressors -- 24.1 Mean and Variance Relations -- 24.2 Mean-Square Stability and Performance -- 24.3 Small Step-Size Approximations -- 24.A Independence and Averaging Analysis -- 25. Data-Normalized Filters -- 25.1 NLMS Filter -- 25.2 Data-Normalized Filters -- 25.A Stability Bound -- 25.B Stability of NLMS -- Summary and Notes -- Problems and Computer Projects -- PART VI: BLOCK ADAPTIVE FILTERS -- 26. Transform Domain Adaptive Filters -- 26.1 Transform-Domain Filters -- 26.2 DFT-Domain LMS. 26.3 DCT-Domain LMS -- 26.A DCT-Transformed Regressors -- 27. Efficient Block Convolution -- 27.1 Motivation -- 27.2 Block Data Formulation -- 27.3 Block Convolution -- 28. Block and Subband Adaptive Filters -- 28.1 DFT Block Adaptive Filters -- 28.2 Subband Adaptive Filters -- 28.A Another Constrained DFT Block Filter -- 28.B Overlap-Add Block Adaptive Filters -- Summary and Notes -- Problems and Computer Projects -- PART VII: LEAST-SQUARES METHODS -- 29. Least-Squares Criterion -- 29.1 Least-Squares Problem -- 29.2 Geometric Argument -- 29.3 Algebraic Arguments -- 29.4 Properties of Least-Squares Solution -- 29.5 Projection Matrices -- 29.6 Weighted Least-Squares -- 29.7 Regularized Least-Squares -- 29.8 Weighted Regularized Least-Squares -- 30. Recursive Least-Squares -- 30.1 Motivation -- 30.2 RLS Algorithm -- 30.3 Regularization -- 30.4 Conversion Factor -- 30.5 Time-Update of the Minimum Cost -- 30.6 Exponentially-Weighted RLS Algorithm -- 31. Kalman Filtering and RLS -- 31.1 Equivalence in Linear Estimation -- 31.2 Kalman Filtering and Recursive Least-Squares -- 31.A Extended RLS Algorithms -- 32. Order and Time-Update Relations -- 32.1 Backward Order-Update Relations -- 32.2 Forward Order-Update Relations -- 32.3 Time-Update Relation -- Summary and Notes -- Problems and Computer Projects -- PART VIII: ARRAY ALGORITHMS -- 33. Norm and Angle Preservation -- 33.1 Some Difficulties -- 33.2 Square-Root Factors -- 33.3 Norm and Angle Preservation -- 33.4 Motivation for Array Methods -- 34. Unitary Transformations -- 34.1 Givens Rotations -- 34.2 Householder Transformations -- 35. QR and Inverse QR Algorithms -- 35.1 Inverse QR Algorithm -- 35.2 QR Algorithm -- 35.3 Extended QR Algorithm -- 35.A Array Algorithms for Kalman Filtering -- Summary and Notes -- Problems and Computer Projects -- PART IX: FAST RLS ALGORITHMS -- 36. Hyperbolic Rotations -- 36.1 Hyperbolic Givens Rotations -- 36.2 Hyperbolic Householder Transformations. 36.3 Hyperbolic Basis Rotations -- 37. Fast Array Algorithm -- 37.1 Time-Update of the Gain Vector -- 37.2 Time-Update of the Conversion Factor -- 37.3 Initial Conditions -- 37.4 Array Algorithm -- 37.A Chandrasekhar Filter -- 38. Regularized Prediction Problems -- 38.1 Regularized Backward Prediction -- 38.2 Regularized Forward Prediction -- 38.3 Low-Rank Factorization -- 39. Fast Fixed-Order Filters -- 39.1 Fast Transversal Filter -- 39.2 FAEST Filter -- 39.3 Fast Kalman Filter -- 39.4 Stability Issues -- Summary and Notes -- Problems and Computer Projects -- PART X: LATTICE FILTERS -- 40. Three Basic Estimation Problems -- 40.1 Motivation for Lattice Filters -- 40.2 Joint Process Estimation -- 40.3 Backward Estimation Problem -- 40.4 Forward Estimation Problem -- 40.5 Time and Order-Update Relations -- 41. Lattice Filter Algorithms -- 41.1 Significance of Data Structure -- 41.2 A Posteriori-Based Lattice Filter -- 41.3 A Priori-Based Lattice Filter -- 42. Error-Feedback Lattice Filters -- 42.1 A Priori Error-Feedback Lattice Filter -- 42.2 A Posteriori Error-Feedback Lattice Filter -- 42.3 Normalized Lattice Filter -- 43. Array Lattice Filters -- 43.1 Order-Update of Output Estimation Errors -- 43.2 Order-Update of Backward Estimation Errors -- 43.3 Order-Update of Forward Estimation Errors -- 43.4 Significance of Data Structure -- Summary and Notes -- Problems and Computer Projects -- PART XI: ROBUST FILTERS -- 44. Indefinite Least-Squares -- 44.1 Indefinite Least-Squares -- 44.2 Recursive Minimization Algorithm -- 44.3 Time-Update of the Minimum Cost -- 44.4 Singular Weighting Matrices -- 44.A Stationary Points -- 44.B Inertia Conditions -- 45. Robust Adaptive Filters -- 45.1 A Posteriori-Based Robust Filters -- 45.2 ε-NLMS Algorithm -- 45.3 A Priori-Based Robust Filters -- 45.4 LMS Algorithm -- 45.A H1 Filters -- 46. Robustness Properties -- 46.1 Robustness of LMS -- 46.2 Robustness of εNLMS. 46.3 Robustness of RLS -- Summary and Notes -- Problems and Computer Projects -- REFERENCES AND INDICES -- References -- Author Index -- Subject Index. |
| Record Nr. | UNINA-9911020084203321 |
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Sayed Ali H
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| Hoboken, N.J., : Wiley-Interscience, : IEEE Press, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Analog and digital filter design [[electronic resource] /] / Steve Winder
| Analog and digital filter design [[electronic resource] /] / Steve Winder |
| Autore | Winder Steve |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Newnes, c2002 |
| Descrizione fisica | 1 online resource (451 p.) |
| Disciplina | 621.3815/324 |
| Altri autori (Persone) | WinderSteve |
| Collana | EDN Series for Design Engineers |
| Soggetto topico | Electric filters - Design and construction |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-04951-4
9786611049515 0-08-048833-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright Page; Contents; Preface; Chapter 1. Introduction; Fundamentals; Analog Filters; The Path to Analog Filter Design; Digital Filters; Digital Filter Types; The Path to Digital Filter Design; Exercises; Chapter 2. Time and Frequency Response; Filter Requirements; The Time Domain; Analog Filter Normalization; Normalized Lowpass Responses; Bessel Response; Bessel Normalized Lowpass Filter Component Values; Butterworth Response; Butterworth Normalized Lowpass Component Values; Normalized Component Values for RL ≫ RS or RL ≪ RS
Normalized Component Values for Source and Load Impedances within a Factor of TenChebyshev Response; Normalized Component Values; Equal Load Normalized Component Value Tables; Normalized Element Values for Filters with RS = 0 or RS = infinite; Inverse Chebyshev Response; Component Values Normalized for 1 Rad/s Stopband; Normalized 3dB Cutoff Frequencies and Passive Component Values; Cauer Response; Passive Cauer Filters; Normalized Cauer Component Values; The Cutoff Frequency; References; Exercises; Chapter 3. Poles and Zeroes; Frequency and Time Domain Relationship; The S-Plane Frequency Dependent Negative Resistance (FDNR) FiltersDenormalization of FDNR Filters; References; Exercises; Chapter 5. Highpass Filters; Passive Filters; Formulae for Passive Highpass Filter Denormalization; Highpass Filters with Transmission Zeroes; Active Highpass Filters; First-Order Filter Section; Sallen and Key Highpass Filter; Using Lowpass Pole to Find Component Values; Using Highpass Poles to Find Component Values; Operational Amplifier Requirements; Denormalizing Sallen and Key or First-Order Designs; State Variable Highpass Filters; Cauer and Inverse Chebyshev Active Filters Denormalizing State Variable or Biquad DesignsGyrator Filters; Reference; Exercises; Chapter 6. Bandpass Filters; Lowpass to Bandpass Transformation; Passive Filters; Formula for Passive Bandpass Filter Denormalization; Passive Cauer and Inverse Chebyshev Bandpass Filters; Active Bandpass Filters; Bandpass Poles and Zeroes; Bandpass Filter Midband Gain; Multiple Feedback Bandpass Filter; Denormalizing MFBP Active Filter Designs; Dual Amplifier Bandpass (DABP) Filter; Denormalizing DABP Active Filter Designs; State Variable Bandpass Filters; Denormalization of State Variable Design Cauer and Inverse Chebyshev Active Filters |
| Record Nr. | UNINA-9910457305003321 |
|
Winder Steve
|
||
| Amsterdam ; ; Boston, : Newnes, c2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analog and digital filter design [[electronic resource] /] / Steve Winder
| Analog and digital filter design [[electronic resource] /] / Steve Winder |
| Autore | Winder Steve |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Newnes, c2002 |
| Descrizione fisica | 1 online resource (451 p.) |
| Disciplina | 621.3815/324 |
| Altri autori (Persone) | WinderSteve |
| Collana | EDN Series for Design Engineers |
| Soggetto topico | Electric filters - Design and construction |
| ISBN |
1-281-04951-4
9786611049515 0-08-048833-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright Page; Contents; Preface; Chapter 1. Introduction; Fundamentals; Analog Filters; The Path to Analog Filter Design; Digital Filters; Digital Filter Types; The Path to Digital Filter Design; Exercises; Chapter 2. Time and Frequency Response; Filter Requirements; The Time Domain; Analog Filter Normalization; Normalized Lowpass Responses; Bessel Response; Bessel Normalized Lowpass Filter Component Values; Butterworth Response; Butterworth Normalized Lowpass Component Values; Normalized Component Values for RL ≫ RS or RL ≪ RS
Normalized Component Values for Source and Load Impedances within a Factor of TenChebyshev Response; Normalized Component Values; Equal Load Normalized Component Value Tables; Normalized Element Values for Filters with RS = 0 or RS = infinite; Inverse Chebyshev Response; Component Values Normalized for 1 Rad/s Stopband; Normalized 3dB Cutoff Frequencies and Passive Component Values; Cauer Response; Passive Cauer Filters; Normalized Cauer Component Values; The Cutoff Frequency; References; Exercises; Chapter 3. Poles and Zeroes; Frequency and Time Domain Relationship; The S-Plane Frequency Dependent Negative Resistance (FDNR) FiltersDenormalization of FDNR Filters; References; Exercises; Chapter 5. Highpass Filters; Passive Filters; Formulae for Passive Highpass Filter Denormalization; Highpass Filters with Transmission Zeroes; Active Highpass Filters; First-Order Filter Section; Sallen and Key Highpass Filter; Using Lowpass Pole to Find Component Values; Using Highpass Poles to Find Component Values; Operational Amplifier Requirements; Denormalizing Sallen and Key or First-Order Designs; State Variable Highpass Filters; Cauer and Inverse Chebyshev Active Filters Denormalizing State Variable or Biquad DesignsGyrator Filters; Reference; Exercises; Chapter 6. Bandpass Filters; Lowpass to Bandpass Transformation; Passive Filters; Formula for Passive Bandpass Filter Denormalization; Passive Cauer and Inverse Chebyshev Bandpass Filters; Active Bandpass Filters; Bandpass Poles and Zeroes; Bandpass Filter Midband Gain; Multiple Feedback Bandpass Filter; Denormalizing MFBP Active Filter Designs; Dual Amplifier Bandpass (DABP) Filter; Denormalizing DABP Active Filter Designs; State Variable Bandpass Filters; Denormalization of State Variable Design Cauer and Inverse Chebyshev Active Filters |
| Record Nr. | UNINA-9910784359003321 |
|
Winder Steve
|
||
| Amsterdam ; ; Boston, : Newnes, c2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analog and digital filter design / / Steve Winder
| Analog and digital filter design / / Steve Winder |
| Autore | Winder Steve |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Newnes, c2002 |
| Descrizione fisica | 1 online resource (451 p.) |
| Disciplina | 621.3815/324 |
| Altri autori (Persone) | WinderSteve |
| Collana | EDN Series for Design Engineers |
| Soggetto topico | Electric filters - Design and construction |
| ISBN |
9786611049515
9781281049513 1281049514 9780080488332 0080488331 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright Page; Contents; Preface; Chapter 1. Introduction; Fundamentals; Analog Filters; The Path to Analog Filter Design; Digital Filters; Digital Filter Types; The Path to Digital Filter Design; Exercises; Chapter 2. Time and Frequency Response; Filter Requirements; The Time Domain; Analog Filter Normalization; Normalized Lowpass Responses; Bessel Response; Bessel Normalized Lowpass Filter Component Values; Butterworth Response; Butterworth Normalized Lowpass Component Values; Normalized Component Values for RL ≫ RS or RL ≪ RS
Normalized Component Values for Source and Load Impedances within a Factor of TenChebyshev Response; Normalized Component Values; Equal Load Normalized Component Value Tables; Normalized Element Values for Filters with RS = 0 or RS = infinite; Inverse Chebyshev Response; Component Values Normalized for 1 Rad/s Stopband; Normalized 3dB Cutoff Frequencies and Passive Component Values; Cauer Response; Passive Cauer Filters; Normalized Cauer Component Values; The Cutoff Frequency; References; Exercises; Chapter 3. Poles and Zeroes; Frequency and Time Domain Relationship; The S-Plane Frequency Dependent Negative Resistance (FDNR) FiltersDenormalization of FDNR Filters; References; Exercises; Chapter 5. Highpass Filters; Passive Filters; Formulae for Passive Highpass Filter Denormalization; Highpass Filters with Transmission Zeroes; Active Highpass Filters; First-Order Filter Section; Sallen and Key Highpass Filter; Using Lowpass Pole to Find Component Values; Using Highpass Poles to Find Component Values; Operational Amplifier Requirements; Denormalizing Sallen and Key or First-Order Designs; State Variable Highpass Filters; Cauer and Inverse Chebyshev Active Filters Denormalizing State Variable or Biquad DesignsGyrator Filters; Reference; Exercises; Chapter 6. Bandpass Filters; Lowpass to Bandpass Transformation; Passive Filters; Formula for Passive Bandpass Filter Denormalization; Passive Cauer and Inverse Chebyshev Bandpass Filters; Active Bandpass Filters; Bandpass Poles and Zeroes; Bandpass Filter Midband Gain; Multiple Feedback Bandpass Filter; Denormalizing MFBP Active Filter Designs; Dual Amplifier Bandpass (DABP) Filter; Denormalizing DABP Active Filter Designs; State Variable Bandpass Filters; Denormalization of State Variable Design Cauer and Inverse Chebyshev Active Filters |
| Record Nr. | UNINA-9910956781103321 |
|
Winder Steve
|
||
| Amsterdam ; ; Boston, : Newnes, c2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Design and analysis of integrator-based log-domain filter circuits [[electronic resource] /] / Gordon W. Roberts and Vincent W. Leung
| Design and analysis of integrator-based log-domain filter circuits [[electronic resource] /] / Gordon W. Roberts and Vincent W. Leung |
| Autore | Roberts Gordon W. <1959-> |
| Edizione | [1st ed. 2002.] |
| Pubbl/distr/stampa | Boston, : Kluwer Academic, c2000 |
| Descrizione fisica | 1 online resource (279 p.) |
| Disciplina | 621.3815/324 |
| Altri autori (Persone) | LeungVincent W |
| Collana | The Springer International Series in Engineering and Computer Science |
| Soggetto topico |
Log domain filters - Design and construction
Electric circuit analysis Metal oxide semiconductors, Complementary - Design and construction Bipolar integrated circuits - Design and construction |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-20604-7
9786610206049 0-306-47054-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Log-Domain Integrators -- Log-Domain Filter Synthesis-I: Operational Simulation of LC Ladders -- Log-Domain Filter Synthesis-II: State-Space Formulation -- Nonideality Analysis of Biquadratic Log-Domain Filters -- Extending the Nonideality Analysis to High-Order Ladder Filters -- Experimental 1C Prototypes. |
| Record Nr. | UNINA-9910454563703321 |
|
Roberts Gordon W. <1959->
|
||
| Boston, : Kluwer Academic, c2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
