Digital Signal Processing

Pearson New International Edition

Häftad, Engelska, 2013

Av John Proakis, Dimitris Manolakis

1 619 kr

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A significant revision of a best-selling text for the introductory digital signal processing course.

This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing.

Produktinformation

Utgivningsdatum2013-07-30
Mått215 x 275 x 54 mm
Vikt2 380 g
FormatHäftad
SpråkEngelska
Antal sidor1 024
Upplaga4
FörlagPearson Education
ISBN9781292025735

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1 Introduction1.1 Signals, Systems, and Signal Processing1.2 Classification of Signals1.3 The Concept of Frequency in Continuous-Time and Discrete-Time Signals1.4 Analog-to-Digital and Digital-to-Analog Conversion1.5 Summary and References 2 Discrete-Time Signals And Systems2.1 Discrete-Time Signals2.2 Discrete-Time Systems2.3 Analysis of Discrete-Time Linear Time-Invariant systems2.4 Discrete-Time Systems Described by Difference Equations2.5 Implementation of Discrete-Time Systems2.6 Correlation of Discrete-Time Signals2.7 Summary and References 3 The Z-Transform And Its Application To The Analysis Of Lti Systems3.1 The z-Transform3.2 Properties of the z-Transform3.3 Rational z-Transforms3.4 Inversion of the z-Transform3.5 Analysis of Linear Time Invariant Systems in the z-Domain3.6 The One-sided z-Transform3.7 Summary and References 4 Frequency Analysis Of Signals And Systems4.1 Frequency Analysis of Continuous-Time Signals4.2 Frequency Analysis of Discrete-Time Signals4.3 Frequency-Domain and Time-Domain Signal Properties4.4 Properties of the Fourier Transform for Discrete-Time Signals4.5 Summary and References 5 Frequency Domain Analysis Of Lti Systems5.1 Frequency-Domain Characteristics of Linear Time-Invariant Systems5.2 Frequency Response of LTI Systems5.3 Correlation Functions and Spectra at the Output of LTI Systems5.4 Linear Time-Invariant Systems as Frequency-Selective Filters5.5 Inverse Systems and Deconvolution5.6 Summary and References 6 Sampling And Reconstruction Of Signals6.1 Ideal Sampling and Reconstruction of Continuous-Time Signals6.2 Discrete-Time Processing of Continuous-Time Signals6.3 Analog-to-Digital and Digital-to-Analog Converters6.4 Sampling and Reconstruction of Continuous-Time Bandpass Signals6.5 Sampling of Discrete-Time Signals6.6 Oversampling A/D and D/A Converters6.7 Summary and References 7 The Discrete Fourier Transform: Its Properties And Applications7.1 Frequency Domain Sampling:The Discrete Fourier Transform7.2 Properties of the DFT7.3 Linear Filtering Methods Based on the DFT7.4 Frequency Analysis of Signals Using the DFT7.5 The Discrete Cosine Transform7.6 Summary and References 8 Efficient Computaiton Of The Dft: Fast Fourier Transform Algorithms8.1 Efficient Computation of the DFT: FFT Algorithms8.2 Applications of FFT Algorithms8.3 A Linear Filtering Approach to Computation of the DFT8.4 Quantization Effects in the Computation of the DFT8.5 Summary and References 9 Implementation Of Discrete-Time Systems9.1 Structures for the Realization of Discrete-Time Systems9.2 Structures for FIR Systems9.3 Structures for IIR Systems9.4 Representation of Numbers9.5 Quantization of Filter Coefficients9.6 Round-Off Effects in Digital Filters9.7 Summary and References 10 Design Of Digital Filers10.1 General Considerations10.2 Design of FIR Filters10.3 Design of IIR Filters From Analog Filters10.4 Frequency Transformations10.5 Summary and References 11 Multirate Digital Signal Processing11.1 Introduction11.2 Decimation by a Factor D11.3 Interpolation by a Factor I11.4 Sampling Rate Conversion by a Rational Factor I/D11.5 Implementation of Sampling Rate Conversion11.6 Multistage Implementation of Sampling Rate Conversion11.7 Sampling Rate Conversion of Bandpass Signals