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Digital signal processing / / John G. Proakis, Dimitris K. Manolakis
Digital signal processing / / John G. Proakis, Dimitris K. Manolakis
Autore Proakis John G.
Edizione [Fourth edition, Pearson new international edition.]
Pubbl/distr/stampa Harlow, England : , : Pearson, , [2014]
Descrizione fisica 1 online resource (1,019 pages) : illustrations
Disciplina 621.3822
Soggetto topico Signal processing - Digital techniques
ISBN 1-292-03816-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Table of Contents -- 1. Introduction -- 2. Discrete-Time Signals and Systems -- 3. The z-Transform and Its Application to the Analysis of LTI Systems -- 4. Frequency Analysis of Signals -- 5. Frequency-Domain Analysis of LTI Systems -- 6. Sampling and Reconstruction of Signals -- 7. The Discrete Fourier Transform: Its Properties and Applications -- 8. Efficient Computation of the DFT: Fast Fourier Transform Algorithms -- 9. Implementation of Discrete-Time Systems -- 10. Design of Digital Filters -- 11. Multirate Digital Signal Processing -- 12. Linear Prediction and Optimum Linear Filters -- 13. Adaptive Filters -- 14. Appendix: Random Number Generators -- 15. Appendix: Tables of Transition Coefficients for the Design of Lnear-Phase FIR Filters -- 16. References and Bibliography -- Index.
Record Nr. UNINA-9910153123603321
Proakis John G.  
Harlow, England : , : Pearson, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Fundamentals of communication systems / / John G. Proakis, Masoud Salehi
Fundamentals of communication systems / / John G. Proakis, Masoud Salehi
Autore Proakis John G.
Edizione [Second edition, global edition.]
Pubbl/distr/stampa Boston : , : Pearson, , 2014
Descrizione fisica 1 online resource (929 pages) : illustrations
Disciplina 621.382
Collana Always Learning
Soggetto topico Telecommunication systems
ISBN 1-292-01569-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title -- Copyright -- Contents -- Preface -- 1 Introduction -- 1.1 Historical Review -- 1.2 Elements of an Electrical Communication System -- 1.2.1 Digital Communication System -- 1.2.2 Early Work in Digital Communications -- 1.3 Communication Channels and Their Characteristics -- 1.4 Mathematical Models for Communication Channels -- 1.5 Summary and Further Reading -- 2 Signals and Linear Systems -- 2.1 Basic Concepts -- 2.1.1 Basic Operations on Signals -- 2.1.2 Classification of Signals -- 2.1.3 Some Important Signals and Their Properties -- 2.1.4 Classification of Systems -- 2.1.5 Analysis of LTI Systems in the Time Domain -- 2.2 Fourier Series -- 2.2.1 Fourier Series and Its Properties -- 2.2.2 Response of LTI Systems to Periodic Signals -- 2.2.3 Parseval's Relation -- 2.3 Fourier Transform -- 2.3.1 From Fourier Series to Fourier Transforms -- 2.3.2 Basic Properties of the Fourier Transform -- 2.3.3 Fourier Transform for Periodic Signals -- 2.3.4 Transmission over LTI Systems -- 2.4 Filter Design -- 2.5 Power and Energy -- 2.5.1 Energy-Type Signals -- 2.5.2 Power-Type Signals -- 2.6 Hilbert Transform and Its Properties -- 2.7 Lowpass and Bandpass Signals -- 2.8 Summary and Further Reading -- Problems -- 3 Amplitude Modulation -- 3.1 Introduction to Modulation -- 3.2 Amplitude Modulation -- 3.2.1 Double-Sideband Suppressed-Carrier AM -- 3.2.2 Conventional Amplitude Modulation -- 3.2.3 Single-Sideband AM -- 3.2.4 Vestigial-Sideband AM -- 3.3 Implementation of Amplitude Modulators and Demodulators -- 3.4 Signal Multiplexing -- 3.4.1 Frequency-Division Multiplexing -- 3.4.2 Quadrature-Carrier Multiplexing -- 3.5 AM Radio Broadcasting -- 3.6 Summary and Further Reading -- Appendix 3A: Derivation of the Expression for SSB-AM Signals -- Problems -- 4 Angle Modulation -- 4.1 Representation of FM and PM Signals.
4.2 Spectral Characteristics of Angle-Modulated Signals -- 4.2.1 Angle Modulation by a Sinusoidal Signal -- 4.2.2 Angle Modulation by an Arbitrary Message Signal -- 4.3 Implementation of Angle Modulators and Demodulators -- 4.4 FM Radio Broadcasting -- 4.5 Summary and Further Reading -- Problems -- 5 Probability and Random Processes -- 5.1 Review of Probability and Random Variables -- 5.1.1 Sample Space, Events, and Probability -- 5.1.2 Conditional Probability -- 5.1.3 Random Variables -- 5.1.4 Functions of a Random Variable -- 5.1.5 Multiple Random Variables -- 5.1.6 Sums of Random Variables -- 5.2 Random Processes: Basic Concepts -- 5.2.1 Statistical Averages -- 5.2.2 Wide-Sense Stationary Processes -- 5.2.3 Multiple Random Processes -- 5.2.4 Random Processes and Linear Systems -- 5.2.5 Power Spectral Density of Stationary Processes -- 5.2.6 Power Spectral Density of a Sum Process -- 5.3 Gaussian and White Processes -- 5.3.1 Gaussian Processes -- 5.3.2 White Processes -- 5.3.3 Filtered Noise Processes -- 5.4 Summary and Further Reading -- Problems -- 6 Effect of Noise on Analog Communication Systems -- 6.1 Effect of Noise on Amplitude Modulation Systems -- 6.1.1 Effect of Noise on a Baseband System -- 6.1.2 Effect of Noise on DSB-SC AM -- 6.1.3 Effect of Noise on SSB AM -- 6.1.4 Effect of Noise on Conventional AM -- 6.2 Effect of Noise on Angle Modulation -- 6.2.1 Threshold Effect in Angle Modulation -- 6.2.2 Preemphasis and Deemphasis Filtering for FM -- 6.3 Comparison of Analog-Modulation Systems -- 6.4 Effects of Transmission Losses and Noise in Analog Communication Systems -- 6.4.1 Characterization of Thermal Noise Sources -- 6.4.2 Effective Noise Temperature and Noise Figure -- 6.4.3 Transmission Losses -- 6.4.4 Repeaters for Signal Transmission -- 6.5 Summary and Further Reading -- Problems -- 7 Analog-to-Digital Conversion.
7.1 Sampling of Signals and Signal Reconstruction from Samples -- 7.1.1 The Sampling Theorem -- 7.2 Quantization -- 7.2.1 Scalar Quantization -- 7.2.2 Vector Quantization -- 7.3 Encoding -- 7.4 Waveform Coding -- 7.4.1 Pulse Code Modulation -- 7.4.2 Differential Pulse Code Modulation -- 7.4.3 Delta Modulation -- 7.5 Analysis-Synthesis Techniques -- 7.6 Digital Audio Transmission and Digital Audio Recording -- 7.6.1 Digital Audio in Telephone Transmission Systems -- 7.6.2 Digital Audio Recording -- 7.7 The JPEG Image-Coding Standard -- 7.8 Summary and Further Reading -- Problems -- 8 Digital Modulation Methods in an Additive White Gaussian Noise Channel -- 8.1 Geometric Representation of Signal Waveforms -- 8.2 Binary Modulation Schemes -- 8.2.1 Binary Antipodal Signaling -- 8.2.2 Binary Orthogonal Signaling -- 8.3 Optimum Receiver for Binary Modulated Signals in Additive White Gaussian Noise -- 8.3.1 Correlation-Type Demodulator -- 8.3.2 Matched-Filter-Type Demodulator -- 8.3.3 The Performance of the Optimum Detector for Binary Signals -- 8.4 M-ary Digital Modulation -- 8.4.1 The Optimum Receiver for M-ary Signals in AWGN -- 8.4.2 A Union Bound on the Probability of Error -- 8.5 M-ary Pulse Amplitude Modulation -- 8.5.1 Carrier-Modulated PAM for Bandpass Channels (M-ary ASK) -- 8.5.2 Demodulation and Detection of Amplitude-Modulated PAM Signals -- 8.5.3 Probability of Error for M-ary PAM -- 8.6 Phase-Shift Keying -- 8.6.1 Geometric Representation of PSK Signals -- 8.6.2 Demodulation and Detection of PSK Signals -- 8.6.3 Probability of Error for Phase-Coherent PSK Modulation -- 8.6.4 Differential Phase Encoding and Differential Phase Modulation and Demodulation -- 8.6.5 Probability of Error for DPSK -- 8.7 Quadrature Amplitude-Modulated Digital Signals -- 8.7.1 Geometric Representation of QAM Signals -- 8.7.2 Demodulation and Detection of QAM Signals.
8.7.3 Probability of Error for QAM -- 8.8 Carrier-Phase Estimation -- 8.8.1 The Phase-Locked Loop -- 8.8.2 The Costas Loop -- 8.8.3 Carrier-Phase Estimation for PAM -- 8.8.4 Carrier-Phase Estimation for PSK -- 8.8.5 Carrier-Phase Estimation for QAM -- 8.9 Symbol Synchronization -- 8.9.1 Early-Late Gate Synchronizers -- 8.9.2 Minimum Mean Square Error Method -- 8.9.3 Maximum-Likelihood Method -- 8.9.4 Spectral-Line Method -- 8.9.5 Symbol Synchronization for Carrier-Modulated Signals -- 8.10 Regenerative Repeaters -- 8.11 Summary and Further Reading -- Problems -- 9 Multidimensional Digital Modulation -- 9.1 M-ary Orthogonal Signals -- 9.1.1 Probability of Error for M-ary Orthogonal Signals -- 9.1.2 A Union Bound on the Error Probability of M-ary Orthogonal Signals -- 9.2 Biorthogonal Signals -- 9.2.1 Probability of Error for M-ary Biorthogonal Signals -- 9.3 Simplex Signals -- 9.3.1 Probability of Error for M-ary Simplex Signals -- 9.4 Binary-Coded Signals -- 9.4.1 Probability of Error for Binary-Coded Signals -- 9.5 Frequency-Shift Keying -- 9.5.1 Demodulation of M-ary FSK -- 9.5.2 Optimum Detector for Noncoherent Binary FSK -- 9.5.3 Probability of Error for Noncoherent Detection of M-ary FSK -- 9.6 Modulation Systems with Memory -- 9.6.1 Continuous-Phase FSK -- 9.6.2 Spectral Characteristics of CPFSK Signals -- 9.7 Comparison of Modulation Methods -- 9.8 Summary and Further Reading -- Problems -- 10 Digital Transmission Through Bandlimited AWGN Channels -- 10.1 Characterization of Bandlimited Channels and Signal Distortion -- 10.1.1 Intersymbol Interference in Signal Transmission -- 10.1.2 Digital Transmission through Bandlimited Bandpass Channels -- 10.2 The Power Spectrum of Digitally Modulated Signals -- 10.3 Signal Design for Bandlimited Channels -- 10.3.1 Design of Bandlimited Signals for Zero ISI-The NyquistCriterion.
10.3.2 Design of Bandlimited Signals with Controlled ISI-Partial-Response Signals -- 10.4 Detection of Partial-Response Signals -- 10.4.1 Symbol-by-Symbol Detection -- 10.4.2 Probability of Error for Symbol-by-Symbol Detection -- 10.4.3 Maximum-Likelihood Sequence Detection of Partial-Response Signals -- 10.4.4 Error Probability of the Maximum-Likelihood Sequence Detector -- 10.5 System Design in the Presence of Channel Distortion -- 10.5.1 Design of Transmitting and Receiving Filters for a Known Channel -- 10.5.2 Channel Equalization -- 10.6 Summary and Further Reading -- Appendix 10A: Power Spectrum of Modulated Signals -- 10A.1 The Power Spectrum of the Baseband Signal -- 10A.2 The Power Spectrum of the Carrier Modulated Signals -- Problems -- 11 Multicarrier Modulation and OFDM -- 11.1 Orthogonal Frequency-Division Multiplexing -- 11.2 Modulation and Demodulation in an OFDM System -- 11.3 An OFDM System Implemented via the FFT Algorithm -- 11.4 Spectral Characteristics of OFDM Signals -- 11.5 Peak-to-Average Power Ratio in OFDM Systems -- 11.6 Applications of OFDM -- 11.6.1 Digital Subscriber Lines -- 11.6.2 Wireless LANs -- 11.6.3 Digital Audio Broadcasting -- 11.7 Summary and Further Reading -- Problems -- 12 An Introduction to Information Theory -- 12.1 Modeling Information Sources -- 12.1.1 Measure of Information -- 12.1.2 Joint and Conditional Entropy -- 12.1.3 Mutual Information -- 12.1.4 Differential Entropy -- 12.2 The Source Coding Theorem -- 12.3 Source Coding Algorithms -- 12.3.1 The Huffman Source Coding Algorithm -- 12.3.2 The Lempel-Ziv Source Coding Algorithm -- 12.4 Modeling of Communication Channels -- 12.5 Channel Capacity -- 12.5.1 Gaussian Channel Capacity -- 12.6 Bounds on Communication -- 12.7 Summary and Further Reading -- Problems -- 13 Coding for Reliable Communications -- 13.1 The Promise of Coding.
13.2 Linear Block Codes.
Record Nr. UNINA-9910151569703321
Proakis John G.  
Boston : , : Pearson, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui