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Digital logic design [[electronic resource] /] / B. Holdsworth and R.C. Woods
Digital logic design [[electronic resource] /] / B. Holdsworth and R.C. Woods
Autore Holdsworth B (Brian)
Edizione [4th ed.]
Pubbl/distr/stampa Oxford, : Newnes, 2002
Descrizione fisica 1 online resource (535 p.)
Disciplina 321.395
Altri autori (Persone) WoodsR. C (R. Clive)
Soggetto topico Logic design
Digital electronics
ISBN 1-281-22270-4
9786611222703
0-08-047730-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Digital Logic Design; Copyright Page; Contents; Preface to the fourth edition; Acknowledgments; Chapter 1. Number systems and codes; 1.1 Introduction; 1.2 Number systems; 1.3 Conversion between number systems; 1.4 Binary addition and subtraction; 1.5 Signed arithmetic; 1.6 Complement arithmetic; 1.7 Complement representation for binary numbers; 1.8 The vlidity of 1's and 2's complement arithmetic; 1.9 Offset binary representation; 1.10 Addition and subtraction of 2's complement numbrs; 1.11 Graphical interpretation of 2's complemnt representation
1.12 Addition and subtraction of 1's complement numbers1.13 Multiplication of unsigned binary numbers; 1.14 Multiplication of signed binary numbers; 1.15 Binary division; 1.16 Floating point arithmetic; 1.17 Binary codes for decimal digits; 1.18 n-cubes and distance; 1.19 Error detection and correction; 1.20 The Hamming code; 1.21 Gray code; 1.22 The ASCII code; Chapter 2. Boolean algebra; 2.1 Introduction; 2.2 Boolean algebra; 2.3 Derived Boolean operations; 2.4 Boolean functions; 2.5 Truth tables; 2.6 The logic o a switch; 2.7 The switch implementation of the AND function
2.8 The switch implementation of the OR function2.9 The gating function of the AND and OR gates; 2.10 The inversion function; 2.11 Gate or switch imlementation of a Boolean function; 2.12 The Boolean theorems; 2.13 Complete sets; 2.14 The exclusive-OR (XOR) function; 2.15 The Reed-Muller equation; 2.16 Set theory and the Venn diagram; Chapter 3. Karnaugh maps and function simplification; 3.1 Introduction; 3.2 Minterms and maxterms; 3.3 Canonical forms; 3.4 Boolean functions of two variables; 3.5 The Karnaugh map; 3.6 Poltting Boolean functions on a Karnaugh map
3.7 Maxterms on the Karnaugh map3.8 Simplificaion of Boolean functions; 3.9 The inverse function; 3.10 'Don't care' terms; 3.11 Simplification of products of maxterms; 3.12 The Quine-McCluskey tablar simplification method; 3.13 Properties of prime implicant tables; 3.14 Cyclic prime implicant tables; 3.15 Semi-cyclic prime implicant tables; 3.16 Quine-McCluskey simplification of functions containing 'don't care' terms; 3.17 Decimal approach to Quine-McCluskey simplification of Boolean functions; 3.18 Multiple output circuits; 3.19 Tabular methods for multiple output functions
3.20 Reduced dimension maps3.21 Plotting RDMs from truth tables; 3.22 Reading RDM functions; 3.23 Looping rules for RDMs; 3.24 Criteria for minimisation; Chapter 4. Combinational logic design principles; 4.1 Introduction; 4.2 The NAND function; 4.3 NAND logic implementation of AND and OR functions; 4.4 NAND logic implementation of sums-of-products; 4.5 The NOR function; 4.6 NOR logic implementation of AND and OR functions; 4.7 NOR logic implementation of products-of-sums; 4.8 NOR logic implementation of sums-of-products; 4.9 Bookean algebraic analysis of NAND and NOR networks
4.10 Symbolic circuit analysis for NAND and NOR networks
Record Nr. UNINA-9910808491603321
Holdsworth B (Brian)  
Oxford, : Newnes, 2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital signal processing : a practical guide for engineers and scientists / / by Steven W. Smith
Digital signal processing : a practical guide for engineers and scientists / / by Steven W. Smith
Autore Smith Steven W.
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam ; ; Boston : , : Newnes, , [2003]
Descrizione fisica 1 online resource (666 p.)
Disciplina 621.382/2 22
621.3822
Collana Demystifying technology series
Soggetto topico Signal processing - Digital techniques
Soggetto genere / forma Electronic books.
ISBN 1-281-77196-1
9786611771966
0-08-047732-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Frontmatter; Half Title Page; Title Page; Copyright; Contents at A Glance; Table of Contents; Preface; Chapter 1. The Breadth and Depth of DSP; The Roots of DSP; Telecommunications; Audio Processing; Echo Location; Image Processing; Chapter 2. Statistics, Probability and Noise; Signal and Graph Terminology; Mean and Standard Deviation; Signal vs. Underlying Process; The Histogram, Pmf and Pdf; The Normal Distribution; Digital Noise Generation; Precision and Accuracy; Chapter 3. ADC and DAC; Quantization; The Sampling Theorem; Digital-to-Analog Conversion
Analog Filters for Data ConversionSelecting the Antialias Filter; Multirate Data Conversion; Single-Bit Data Conversion; Chapter 4. DSP Software; Computer Numbers; Fixed Point (Integers); Floating Point (Real Numbers); Number Precision; Execution Speed: Program Language; Execution Speed: Hardware; Execution Speed: Programming Tips; Chapter 5. Linear Systems; Signals and Systems; Requirements for Linearity; Static Linearity and Sinusoidal Fidelity; Examples of Linear and Nonlinear Systems; Special Properties of Linearity; Superposition: The Foundation of DSP; Common Decompositions
Alternatives to LinearityChapter 6. Convolution; The Delta Function and Impulse Response; Convolution; The Input Side Algorithm; The Output Side Algorithm; The Sum of Weighted Inputs; Chapter 7. Properties of Convolution; Common Impulse Responses; Mathematical Properties; Correlation; Speed; Chapter 8. The Discrete Fourier Transform; The Family of Fourier Transform; Notation and Format of the Real DFT; The Frequency Domain''s Independent Variable; DFT Basis Functions; Synthesis, Calculating the Inverse DFT; Analysis, Calculating the DFT; Duality; Polar Notation; Polar Nuisances
Chapter 9. Applications of the DFTSpectral Analysis of Signals; Frequency Response of Systems; Convolution via the Frequency Domain; Chapter 10. Fourier Transform Properties; Linearity of the Fourier Transform; Characteristics of the Phase; Periodic Nature of the DFT; Compression and Expansion, Multirate Methods; Multiplying Signals (Amplitude Modulation); The Discrete Time Fourier Transform; Parseval''s Relation; Chapter 11. Fourier Transform Pairs; Delta Function Pairs; The Sinc Function; Other Transform Pairs; Gibbs Effect; Harmonics; Chirp Signals; Chapter 12. The Fast Fourier Transform
Real DFT Using the Complex DFTHow the FFT Works; FFT Programs; Speed and Precision Comparisons; Further Speed Increases; Chapter 13. Continuous Signal Processing; The Delta Function; Convolution; The Fourier Transform; The Fourier Series; Chapter 14. Introduction to Digital Filters; Filter Basics; How Information Is Represented in Signals; Time Domain Parameters; Frequency Domain Parameters; High-Pass, Band-Pass and Band-Reject Filters; Filter Classification; Chapter 15. Moving Average Filters; Implementation by ConvoIution; Noise Reduction vs. Step Response; Frequency Response
Relatives of the Moving Average Filter
Record Nr. UNINA-9910480405003321
Smith Steven W.  
Amsterdam ; ; Boston : , : Newnes, , [2003]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital signal processing : a practical guide for engineers and scientists / / by Steven W. Smith
Digital signal processing : a practical guide for engineers and scientists / / by Steven W. Smith
Autore Smith Steven W.
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam ; ; Boston : , : Newnes, , [2003]
Descrizione fisica 1 online resource (666 p.)
Disciplina 621.382/2 22
621.3822
Collana Demystifying technology series
Soggetto topico Signal processing - Digital techniques
ISBN 1-281-77196-1
9786611771966
0-08-047732-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Frontmatter; Half Title Page; Title Page; Copyright; Contents at A Glance; Table of Contents; Preface; Chapter 1. The Breadth and Depth of DSP; The Roots of DSP; Telecommunications; Audio Processing; Echo Location; Image Processing; Chapter 2. Statistics, Probability and Noise; Signal and Graph Terminology; Mean and Standard Deviation; Signal vs. Underlying Process; The Histogram, Pmf and Pdf; The Normal Distribution; Digital Noise Generation; Precision and Accuracy; Chapter 3. ADC and DAC; Quantization; The Sampling Theorem; Digital-to-Analog Conversion
Analog Filters for Data ConversionSelecting the Antialias Filter; Multirate Data Conversion; Single-Bit Data Conversion; Chapter 4. DSP Software; Computer Numbers; Fixed Point (Integers); Floating Point (Real Numbers); Number Precision; Execution Speed: Program Language; Execution Speed: Hardware; Execution Speed: Programming Tips; Chapter 5. Linear Systems; Signals and Systems; Requirements for Linearity; Static Linearity and Sinusoidal Fidelity; Examples of Linear and Nonlinear Systems; Special Properties of Linearity; Superposition: The Foundation of DSP; Common Decompositions
Alternatives to LinearityChapter 6. Convolution; The Delta Function and Impulse Response; Convolution; The Input Side Algorithm; The Output Side Algorithm; The Sum of Weighted Inputs; Chapter 7. Properties of Convolution; Common Impulse Responses; Mathematical Properties; Correlation; Speed; Chapter 8. The Discrete Fourier Transform; The Family of Fourier Transform; Notation and Format of the Real DFT; The Frequency Domain''s Independent Variable; DFT Basis Functions; Synthesis, Calculating the Inverse DFT; Analysis, Calculating the DFT; Duality; Polar Notation; Polar Nuisances
Chapter 9. Applications of the DFTSpectral Analysis of Signals; Frequency Response of Systems; Convolution via the Frequency Domain; Chapter 10. Fourier Transform Properties; Linearity of the Fourier Transform; Characteristics of the Phase; Periodic Nature of the DFT; Compression and Expansion, Multirate Methods; Multiplying Signals (Amplitude Modulation); The Discrete Time Fourier Transform; Parseval''s Relation; Chapter 11. Fourier Transform Pairs; Delta Function Pairs; The Sinc Function; Other Transform Pairs; Gibbs Effect; Harmonics; Chirp Signals; Chapter 12. The Fast Fourier Transform
Real DFT Using the Complex DFTHow the FFT Works; FFT Programs; Speed and Precision Comparisons; Further Speed Increases; Chapter 13. Continuous Signal Processing; The Delta Function; Convolution; The Fourier Transform; The Fourier Series; Chapter 14. Introduction to Digital Filters; Filter Basics; How Information Is Represented in Signals; Time Domain Parameters; Frequency Domain Parameters; High-Pass, Band-Pass and Band-Reject Filters; Filter Classification; Chapter 15. Moving Average Filters; Implementation by ConvoIution; Noise Reduction vs. Step Response; Frequency Response
Relatives of the Moving Average Filter
Record Nr. UNINA-9910782229703321
Smith Steven W.  
Amsterdam ; ; Boston : , : Newnes, , [2003]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital signal processing : a practical guide for engineers and scientists / / by Steven W. Smith
Digital signal processing : a practical guide for engineers and scientists / / by Steven W. Smith
Autore Smith Steven W.
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam ; ; Boston : , : Newnes, , [2003]
Descrizione fisica 1 online resource (666 p.)
Disciplina 621.382/2 22
621.3822
Collana Demystifying technology series
Soggetto topico Signal processing - Digital techniques
ISBN 1-281-77196-1
9786611771966
0-08-047732-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Frontmatter; Half Title Page; Title Page; Copyright; Contents at A Glance; Table of Contents; Preface; Chapter 1. The Breadth and Depth of DSP; The Roots of DSP; Telecommunications; Audio Processing; Echo Location; Image Processing; Chapter 2. Statistics, Probability and Noise; Signal and Graph Terminology; Mean and Standard Deviation; Signal vs. Underlying Process; The Histogram, Pmf and Pdf; The Normal Distribution; Digital Noise Generation; Precision and Accuracy; Chapter 3. ADC and DAC; Quantization; The Sampling Theorem; Digital-to-Analog Conversion
Analog Filters for Data ConversionSelecting the Antialias Filter; Multirate Data Conversion; Single-Bit Data Conversion; Chapter 4. DSP Software; Computer Numbers; Fixed Point (Integers); Floating Point (Real Numbers); Number Precision; Execution Speed: Program Language; Execution Speed: Hardware; Execution Speed: Programming Tips; Chapter 5. Linear Systems; Signals and Systems; Requirements for Linearity; Static Linearity and Sinusoidal Fidelity; Examples of Linear and Nonlinear Systems; Special Properties of Linearity; Superposition: The Foundation of DSP; Common Decompositions
Alternatives to LinearityChapter 6. Convolution; The Delta Function and Impulse Response; Convolution; The Input Side Algorithm; The Output Side Algorithm; The Sum of Weighted Inputs; Chapter 7. Properties of Convolution; Common Impulse Responses; Mathematical Properties; Correlation; Speed; Chapter 8. The Discrete Fourier Transform; The Family of Fourier Transform; Notation and Format of the Real DFT; The Frequency Domain''s Independent Variable; DFT Basis Functions; Synthesis, Calculating the Inverse DFT; Analysis, Calculating the DFT; Duality; Polar Notation; Polar Nuisances
Chapter 9. Applications of the DFTSpectral Analysis of Signals; Frequency Response of Systems; Convolution via the Frequency Domain; Chapter 10. Fourier Transform Properties; Linearity of the Fourier Transform; Characteristics of the Phase; Periodic Nature of the DFT; Compression and Expansion, Multirate Methods; Multiplying Signals (Amplitude Modulation); The Discrete Time Fourier Transform; Parseval''s Relation; Chapter 11. Fourier Transform Pairs; Delta Function Pairs; The Sinc Function; Other Transform Pairs; Gibbs Effect; Harmonics; Chirp Signals; Chapter 12. The Fast Fourier Transform
Real DFT Using the Complex DFTHow the FFT Works; FFT Programs; Speed and Precision Comparisons; Further Speed Increases; Chapter 13. Continuous Signal Processing; The Delta Function; Convolution; The Fourier Transform; The Fourier Series; Chapter 14. Introduction to Digital Filters; Filter Basics; How Information Is Represented in Signals; Time Domain Parameters; Frequency Domain Parameters; High-Pass, Band-Pass and Band-Reject Filters; Filter Classification; Chapter 15. Moving Average Filters; Implementation by ConvoIution; Noise Reduction vs. Step Response; Frequency Response
Relatives of the Moving Average Filter
Record Nr. UNINA-9910812191203321
Smith Steven W.  
Amsterdam ; ; Boston : , : Newnes, , [2003]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital signal processing 101 : everything you need to know to get started / / Michael Parker
Digital signal processing 101 : everything you need to know to get started / / Michael Parker
Autore Parker Michael <1963-, >
Edizione [Second edition.]
Pubbl/distr/stampa Oxford, United Kingdom ; ; Cambridge, MA : , : Newnes, , [2017]
Descrizione fisica 1 online resource (417 pages) : colour illustrations
Disciplina 621.3822 $2 23
Soggetto topico Signal processing - Digital techniques
ISBN 0-12-811454-1
0-12-811453-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910297366203321
Parker Michael <1963-, >  
Oxford, United Kingdom ; ; Cambridge, MA : , : Newnes, , [2017]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital signal processing and applications [[electronic resource] /] / Dag Stranneby, William Walker
Digital signal processing and applications [[electronic resource] /] / Dag Stranneby, William Walker
Autore Stranneby Dag
Edizione [2nd ed.]
Pubbl/distr/stampa Oxford, : Newnes, 2004
Descrizione fisica 1 online resource (368 p.)
Disciplina 621.3822
Altri autori (Persone) WalkerWilliam <1959->
Soggetto topico Signal processing - Digital techniques
Signal processing
Soggetto genere / forma Electronic books.
ISBN 1-281-01604-7
9786611016043
0-08-047252-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Digital Signal Processing and Applications; Contents; Preface; 1 Introduction; Background; Objectives; 1.1 The history of digital signal processing; 1.1.1 Measurements and analysis; 1.1.2 Telecommunications; 1.1.3 Audio and television; 1.1.4 Household appliances and toys; 1.1.5 Automotive; 1.2 Digital signal processing basics; 1.2.1 Continuous and discrete signals; 1.2.2 Sampling and reconstruction; 1.2.3 Quantization; 1.2.4 Processing models for discrete-time series; 1.2.4.1 Linear systems; 1.2.4.2 The difference equation model; 1.2.4.3 The state-space model
1.2.4.4 The convolution model1.2.4.5 The transfer function model; 1.2.4.6 The frequency function model; 1.3 Common filters; 1.3.1 Filter architectures; 1.3.1.1 The non-recursive filter; 1.3.1.2 The recursive filter; 1.3.1.3 The lattice filter; 1.3.2 Filter synthesis; 1.3.2.1 Indirect filter synthesis; 1.3.2.2 Direct filter synthesis; 1.4 Digital control systems; 1.4.1 Proportional-integral-derivate controllers; 1.4.2 Advanced controllers; 1.4.2.2 Pole placement controller; Summary; Review questions; Solved problems; 2 The analog-digital interface; Background; Objectives
2.1 System considerations2.1.1 Encoding and modulation; 2.1.2 Number representation and companding systems; 2.2 Digital-to-analog conversion; 2.2.1 Multiplying digital-to-analog converters; 2.2.2 Integrating digital-to-analog converters; 2.2.3 Bitstream digital-to-analog converters; 2.2.4 Sample-and-hold and reconstruction filters; 2.3 Analog-to-digital conversion; 2.3.1 Anti-aliasing filters and sample-and-hold; 2.3.2 Flash analog-to-digital converters; 2.3.3 Successive approximation analog-to-digital converters; 2.3.4 Counting analog-to-digital converters
2.3.5 Integrating analog-to-digital converters2.3.6 Dither; 2.3.7 Sigma-delta analog-to-digital converters; Summary; Review questions; Solved problems; 3 Adaptive digital systems; Background; Objectives; 3.1 Introduction; 3.1.1 System structure; 3.2 The processor and the performance function; 3.2.1 The adaptive linear combiner; 3.2.2 The performance function; 3.3 Adaptation algorithms; 3.3.1 The method of steepest descent; 3.3.2 Newton's method; 3.3.3 The least mean square algorithm; 3.4 Applications; 3.4.1 Adaptive interference canceling; 3.4.2 Equalizers; 3.4.3 Adaptive beamforming; Summary
Review questionsSolved problems; 4 Non-linear applications; Background; Objectives; 4.1 The median filter; 4.1.1 Basics; 4.1.2 Threshold decomposition; 4.1.3 Performance; 4.1.4 Applications; 4.2 Artificial neural networks; 4.2.1 Background; 4.2.2 The models; 4.2.3 Some historical notes; 4.2.4 Feedforward networks; 4.2.4.1 Nodes; 4.2.4.2 Network topology; 4.2.4.3 Training and adaptation; 4.2.4.4 Applications; 4.2.5 Feedback networks; 4.2.5.1 Nodes; 4.2.5.2 Network topology; 4.2.5.3 Local and global minimum; 4.2.5.4 Applications; 4.2.6 An example application; 4.2.6.1 The problem
4.2.6.2 The Hamming net
Record Nr. UNINA-9910457699603321
Stranneby Dag  
Oxford, : Newnes, 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital signal processing and applications [[electronic resource] /] / Dag Stranneby, William Walker
Digital signal processing and applications [[electronic resource] /] / Dag Stranneby, William Walker
Autore Stranneby Dag
Edizione [2nd ed.]
Pubbl/distr/stampa Oxford, : Newnes, 2004
Descrizione fisica 1 online resource (368 p.)
Disciplina 621.3822
Altri autori (Persone) WalkerWilliam <1959->
Soggetto topico Signal processing - Digital techniques
Signal processing
ISBN 1-281-01604-7
9786611016043
0-08-047252-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Digital Signal Processing and Applications; Contents; Preface; 1 Introduction; Background; Objectives; 1.1 The history of digital signal processing; 1.1.1 Measurements and analysis; 1.1.2 Telecommunications; 1.1.3 Audio and television; 1.1.4 Household appliances and toys; 1.1.5 Automotive; 1.2 Digital signal processing basics; 1.2.1 Continuous and discrete signals; 1.2.2 Sampling and reconstruction; 1.2.3 Quantization; 1.2.4 Processing models for discrete-time series; 1.2.4.1 Linear systems; 1.2.4.2 The difference equation model; 1.2.4.3 The state-space model
1.2.4.4 The convolution model1.2.4.5 The transfer function model; 1.2.4.6 The frequency function model; 1.3 Common filters; 1.3.1 Filter architectures; 1.3.1.1 The non-recursive filter; 1.3.1.2 The recursive filter; 1.3.1.3 The lattice filter; 1.3.2 Filter synthesis; 1.3.2.1 Indirect filter synthesis; 1.3.2.2 Direct filter synthesis; 1.4 Digital control systems; 1.4.1 Proportional-integral-derivate controllers; 1.4.2 Advanced controllers; 1.4.2.2 Pole placement controller; Summary; Review questions; Solved problems; 2 The analog-digital interface; Background; Objectives
2.1 System considerations2.1.1 Encoding and modulation; 2.1.2 Number representation and companding systems; 2.2 Digital-to-analog conversion; 2.2.1 Multiplying digital-to-analog converters; 2.2.2 Integrating digital-to-analog converters; 2.2.3 Bitstream digital-to-analog converters; 2.2.4 Sample-and-hold and reconstruction filters; 2.3 Analog-to-digital conversion; 2.3.1 Anti-aliasing filters and sample-and-hold; 2.3.2 Flash analog-to-digital converters; 2.3.3 Successive approximation analog-to-digital converters; 2.3.4 Counting analog-to-digital converters
2.3.5 Integrating analog-to-digital converters2.3.6 Dither; 2.3.7 Sigma-delta analog-to-digital converters; Summary; Review questions; Solved problems; 3 Adaptive digital systems; Background; Objectives; 3.1 Introduction; 3.1.1 System structure; 3.2 The processor and the performance function; 3.2.1 The adaptive linear combiner; 3.2.2 The performance function; 3.3 Adaptation algorithms; 3.3.1 The method of steepest descent; 3.3.2 Newton's method; 3.3.3 The least mean square algorithm; 3.4 Applications; 3.4.1 Adaptive interference canceling; 3.4.2 Equalizers; 3.4.3 Adaptive beamforming; Summary
Review questionsSolved problems; 4 Non-linear applications; Background; Objectives; 4.1 The median filter; 4.1.1 Basics; 4.1.2 Threshold decomposition; 4.1.3 Performance; 4.1.4 Applications; 4.2 Artificial neural networks; 4.2.1 Background; 4.2.2 The models; 4.2.3 Some historical notes; 4.2.4 Feedforward networks; 4.2.4.1 Nodes; 4.2.4.2 Network topology; 4.2.4.3 Training and adaptation; 4.2.4.4 Applications; 4.2.5 Feedback networks; 4.2.5.1 Nodes; 4.2.5.2 Network topology; 4.2.5.3 Local and global minimum; 4.2.5.4 Applications; 4.2.6 An example application; 4.2.6.1 The problem
4.2.6.2 The Hamming net
Record Nr. UNINA-9910784447003321
Stranneby Dag  
Oxford, : Newnes, 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital signal processing and applications [[electronic resource] /] / Dag Stranneby, William Walker
Digital signal processing and applications [[electronic resource] /] / Dag Stranneby, William Walker
Autore Stranneby Dag
Edizione [2nd ed.]
Pubbl/distr/stampa Oxford, : Newnes, 2004
Descrizione fisica 1 online resource (368 p.)
Disciplina 621.3822
Altri autori (Persone) WalkerWilliam <1959->
Soggetto topico Signal processing - Digital techniques
Signal processing
ISBN 1-281-01604-7
9786611016043
0-08-047252-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Digital Signal Processing and Applications; Contents; Preface; 1 Introduction; Background; Objectives; 1.1 The history of digital signal processing; 1.1.1 Measurements and analysis; 1.1.2 Telecommunications; 1.1.3 Audio and television; 1.1.4 Household appliances and toys; 1.1.5 Automotive; 1.2 Digital signal processing basics; 1.2.1 Continuous and discrete signals; 1.2.2 Sampling and reconstruction; 1.2.3 Quantization; 1.2.4 Processing models for discrete-time series; 1.2.4.1 Linear systems; 1.2.4.2 The difference equation model; 1.2.4.3 The state-space model
1.2.4.4 The convolution model1.2.4.5 The transfer function model; 1.2.4.6 The frequency function model; 1.3 Common filters; 1.3.1 Filter architectures; 1.3.1.1 The non-recursive filter; 1.3.1.2 The recursive filter; 1.3.1.3 The lattice filter; 1.3.2 Filter synthesis; 1.3.2.1 Indirect filter synthesis; 1.3.2.2 Direct filter synthesis; 1.4 Digital control systems; 1.4.1 Proportional-integral-derivate controllers; 1.4.2 Advanced controllers; 1.4.2.2 Pole placement controller; Summary; Review questions; Solved problems; 2 The analog-digital interface; Background; Objectives
2.1 System considerations2.1.1 Encoding and modulation; 2.1.2 Number representation and companding systems; 2.2 Digital-to-analog conversion; 2.2.1 Multiplying digital-to-analog converters; 2.2.2 Integrating digital-to-analog converters; 2.2.3 Bitstream digital-to-analog converters; 2.2.4 Sample-and-hold and reconstruction filters; 2.3 Analog-to-digital conversion; 2.3.1 Anti-aliasing filters and sample-and-hold; 2.3.2 Flash analog-to-digital converters; 2.3.3 Successive approximation analog-to-digital converters; 2.3.4 Counting analog-to-digital converters
2.3.5 Integrating analog-to-digital converters2.3.6 Dither; 2.3.7 Sigma-delta analog-to-digital converters; Summary; Review questions; Solved problems; 3 Adaptive digital systems; Background; Objectives; 3.1 Introduction; 3.1.1 System structure; 3.2 The processor and the performance function; 3.2.1 The adaptive linear combiner; 3.2.2 The performance function; 3.3 Adaptation algorithms; 3.3.1 The method of steepest descent; 3.3.2 Newton's method; 3.3.3 The least mean square algorithm; 3.4 Applications; 3.4.1 Adaptive interference canceling; 3.4.2 Equalizers; 3.4.3 Adaptive beamforming; Summary
Review questionsSolved problems; 4 Non-linear applications; Background; Objectives; 4.1 The median filter; 4.1.1 Basics; 4.1.2 Threshold decomposition; 4.1.3 Performance; 4.1.4 Applications; 4.2 Artificial neural networks; 4.2.1 Background; 4.2.2 The models; 4.2.3 Some historical notes; 4.2.4 Feedforward networks; 4.2.4.1 Nodes; 4.2.4.2 Network topology; 4.2.4.3 Training and adaptation; 4.2.4.4 Applications; 4.2.5 Feedback networks; 4.2.5.1 Nodes; 4.2.5.2 Network topology; 4.2.5.3 Local and global minimum; 4.2.5.4 Applications; 4.2.6 An example application; 4.2.6.1 The problem
4.2.6.2 The Hamming net
Record Nr. UNINA-9910811279303321
Stranneby Dag  
Oxford, : Newnes, 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital signal processing system-level design using LabVIEW [[electronic resource] /] / by Nasser Kehtarnavaz and Namjin Kim
Digital signal processing system-level design using LabVIEW [[electronic resource] /] / by Nasser Kehtarnavaz and Namjin Kim
Autore Kehtarnavaz Nasser
Edizione [1st edition]
Pubbl/distr/stampa Oxford, : Newnes, 2005
Descrizione fisica 1 online resource (305 p.)
Disciplina 621.3822
Altri autori (Persone) KimNamjin
Soggetto topico Signal processing - Digital techniques - Computer programs
Soggetto genere / forma Electronic books.
ISBN 1-281-01004-9
1-4237-2354-6
9786611010041
0-08-047724-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Digital Signal Processing System-Level Design Using LabVIEW TM; Copyright Page; Contents; Preface; What's on the CD-ROM?; Chapter 1. Introduction; 1.1 Digital Signal Processing Hands-On Lab Courses; 1.2 Organization; 1.3 Software Installation; 1.4 Updates; 1.5 Bibliography; Chapter 2. LabVIEW Programming Environment; 2.1 Virtual Instruments (VIs); 2.2 Graphical Environment; 2.3 Building a Front Panel; 2.4 Building a Block Diagram; 2.5 Grouping Data: Array and Cluster; 2.6 Debugging and Profiling VIs; 2.7 Bibliography; Lab 1: Getting Familiar with LabVIEW: Part I
L1.1 Building a Simple VIL1.2 Using Structures and SubVIs; L1.3 Create an Array with Indexing; L1.4 Debugging VIs: Probe Tool; L1.5 Bibliography; Lab 2: Getting Familiar with LabVIEW: Part II; L2.1 Building a System VI with Express VIs; L2.2 Building a System with Regular VIs; L2.3 Profile VI; L2.4 Bibliography; Chapter 3. Analog-to-Digital Signal Conversion; 3.1 Sampling; 3.2 Quantization; 3.3 Signal Reconstruction; Lab 3: Sampling, Quantization and Reconstruction; L3.1 Aliasing; L3.2 Fast Fourier Transform; L3.3 Quantization; L3.4 Signal Reconstruction; L3.5 Bibliography
Chapter 4. Digital Filtering 4.1 Digital Filtering; 4.2 LabVIEW Digital Filter Design Toolkit; 4.3 Bibliography; Lab 4: FIR/IIR Filtering System Design; L4.1 FIR Filtering System; L4.2 IIR Filtering System; L4.3 Building a Filtering System Using Filter Coefficients; L4.4 Filter Design Without Using DFD Toolkit; L4.5 Bibliography; Chapter 5. Fixed-Point versus Floating-Point; 5.1 Q-format Number Representation; 5.2 Finite Word Length Effects; 5.3 Floating-Point Number Representation; 5.4 Overflow and Scaling; 5.5 Data Types in LabVIEW; 5.6 Bibliography; Lab 5: Data Type and Scaling
L5.1 Handling Data types in LabVIEW L5.2 Overflow Handling; L5.3 Scaling Approach; L5.4 Digital Filtering in Fixed-Point Format; L5.5 Bibliography; Chapter 6. Adaptive Filtering; 6.1 System Identification; 6.2 Noise Cancellation; 6.3 Bibliography; Lab 6: Adaptive Filtering Systems; L6.1 System Identification; L6.2 Noise Cancellation; L6.3 Bibliography; Chapter 7. Frequency Domain Processing; 7.1 Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT); 7.2 Short-Time Fourier Transform (STFT); 7.3 Discrete Wavelet Transform (DWT); 7.4 Signal Processing Toolset; 7.5 Bibliography
Lab 7: FFT, STFT and DWT L7.1 FFT versus STFT; L7.2 DWT; L7.3 Bibliography; Chapter 8. DSP Implementation Platform: TMS3aOC6x Architecture and Software Tools; 8.1 TMS320C6X DSP; 8.2 C6x DSK Target Boards; 8.3 DSP Programming; 8.4 Bibliography; Lab 8: Getting Familiar with Code Composer Studio; L8.1 Code Composer Studio; L8.2 Creating Projects; L8.3 Debugging Tools; L8.4 Bibliography; Chapter 9. LabVIEW DSP Integration; 9.1 Communication with LabVIEW: Real-Time Data Exchange (RTDX); 9.2 LabVIEW DSP Test Integration Toolkit for TI DSP; 9.3 Combined Implementation: Gain Example; 9.4 Bibliography
Lab 9: DSP Integration Examples
Record Nr. UNINA-9910457324403321
Kehtarnavaz Nasser  
Oxford, : Newnes, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital signal processing system-level design using LabVIEW [[electronic resource] /] / by Nasser Kehtarnavaz and Namjin Kim
Digital signal processing system-level design using LabVIEW [[electronic resource] /] / by Nasser Kehtarnavaz and Namjin Kim
Autore Kehtarnavaz Nasser
Edizione [1st edition]
Pubbl/distr/stampa Oxford, : Newnes, 2005
Descrizione fisica 1 online resource (305 p.)
Disciplina 621.3822
Altri autori (Persone) KimNamjin
Soggetto topico Signal processing - Digital techniques - Computer programs
ISBN 1-281-01004-9
1-4237-2354-6
9786611010041
0-08-047724-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Digital Signal Processing System-Level Design Using LabVIEW TM; Copyright Page; Contents; Preface; What's on the CD-ROM?; Chapter 1. Introduction; 1.1 Digital Signal Processing Hands-On Lab Courses; 1.2 Organization; 1.3 Software Installation; 1.4 Updates; 1.5 Bibliography; Chapter 2. LabVIEW Programming Environment; 2.1 Virtual Instruments (VIs); 2.2 Graphical Environment; 2.3 Building a Front Panel; 2.4 Building a Block Diagram; 2.5 Grouping Data: Array and Cluster; 2.6 Debugging and Profiling VIs; 2.7 Bibliography; Lab 1: Getting Familiar with LabVIEW: Part I
L1.1 Building a Simple VIL1.2 Using Structures and SubVIs; L1.3 Create an Array with Indexing; L1.4 Debugging VIs: Probe Tool; L1.5 Bibliography; Lab 2: Getting Familiar with LabVIEW: Part II; L2.1 Building a System VI with Express VIs; L2.2 Building a System with Regular VIs; L2.3 Profile VI; L2.4 Bibliography; Chapter 3. Analog-to-Digital Signal Conversion; 3.1 Sampling; 3.2 Quantization; 3.3 Signal Reconstruction; Lab 3: Sampling, Quantization and Reconstruction; L3.1 Aliasing; L3.2 Fast Fourier Transform; L3.3 Quantization; L3.4 Signal Reconstruction; L3.5 Bibliography
Chapter 4. Digital Filtering 4.1 Digital Filtering; 4.2 LabVIEW Digital Filter Design Toolkit; 4.3 Bibliography; Lab 4: FIR/IIR Filtering System Design; L4.1 FIR Filtering System; L4.2 IIR Filtering System; L4.3 Building a Filtering System Using Filter Coefficients; L4.4 Filter Design Without Using DFD Toolkit; L4.5 Bibliography; Chapter 5. Fixed-Point versus Floating-Point; 5.1 Q-format Number Representation; 5.2 Finite Word Length Effects; 5.3 Floating-Point Number Representation; 5.4 Overflow and Scaling; 5.5 Data Types in LabVIEW; 5.6 Bibliography; Lab 5: Data Type and Scaling
L5.1 Handling Data types in LabVIEW L5.2 Overflow Handling; L5.3 Scaling Approach; L5.4 Digital Filtering in Fixed-Point Format; L5.5 Bibliography; Chapter 6. Adaptive Filtering; 6.1 System Identification; 6.2 Noise Cancellation; 6.3 Bibliography; Lab 6: Adaptive Filtering Systems; L6.1 System Identification; L6.2 Noise Cancellation; L6.3 Bibliography; Chapter 7. Frequency Domain Processing; 7.1 Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT); 7.2 Short-Time Fourier Transform (STFT); 7.3 Discrete Wavelet Transform (DWT); 7.4 Signal Processing Toolset; 7.5 Bibliography
Lab 7: FFT, STFT and DWT L7.1 FFT versus STFT; L7.2 DWT; L7.3 Bibliography; Chapter 8. DSP Implementation Platform: TMS3aOC6x Architecture and Software Tools; 8.1 TMS320C6X DSP; 8.2 C6x DSK Target Boards; 8.3 DSP Programming; 8.4 Bibliography; Lab 8: Getting Familiar with Code Composer Studio; L8.1 Code Composer Studio; L8.2 Creating Projects; L8.3 Debugging Tools; L8.4 Bibliography; Chapter 9. LabVIEW DSP Integration; 9.1 Communication with LabVIEW: Real-Time Data Exchange (RTDX); 9.2 LabVIEW DSP Test Integration Toolkit for TI DSP; 9.3 Combined Implementation: Gain Example; 9.4 Bibliography
Lab 9: DSP Integration Examples
Record Nr. UNINA-9910784365403321
Kehtarnavaz Nasser  
Oxford, : Newnes, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui