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This title in other editionsOther titles in the Prentice Hall Signal Processing series:DiscreteTime Signal Processingby Alan V. Oppenheim
Synopses & ReviewsPublisher Comments:THE definitive, authoritative book on DSP – ideal for those with an introductorylevel knowledge of signals and systems. Written by prominent, DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discretetime linear systems, filtering, sampling, and discretetime Fourier Analysis. By focusing on the general and universal concepts in discretetime signal processing, it remains vital and relevant to the new challenges arising in the field – without limiting itself to specific technologies with relatively short life spans. FEATURES
Synopsis:
Synopsis:For senior/graduatelevel courses in DiscreteTime Signal Processing.
DiscreteTime Signal Processing, Third Edition is the definitive, authoritative text on DSP – ideal for those with introductorylevel knowledge of signals and systems. Written by prominent DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discretetime linear systems, filtering, sampling, and discretetime Fourier Analysis. By focusing on the general and universal concepts in discretetime signal processing, it remains vital and relevant to the new challenges arising in the field.
Access to the passwordprotected companion Website and myeBook is included with each new copy of DiscreteTime Signal Processing, Third Edition . Table of ContentsPrevious edition TOC
1. Introduction. 2. DiscreteTime Signals and Systems.
Introduction. Discretetime Signals: Sequences. Discretetime Systems. Linear TimeInvariant Systems. Properties of Linear TimeInvariant Systems. Linear ConstantCoefficient Difference Equations. FrequencyDomain Representation of DiscreteTime Signals and Systems. Representation of Sequence by Fourier Transforms. Symmetry Properties of the Fourier Transform. Fourier Transform Theorems. DiscreteTime Random Signals. Summary.
3. The zTransform.
Introduction. The zTransform. Properties of the Region of Convergence for the zTransform. The Inverse zTransform. zTransform Properties. Summary.
4. Sampling of ContinuousTime Signals.
Introduction. Periodic Sampling. FrequencyDomain Representation of Sampling. Reconstruction of a Bandlimited Signal from its Samples. DiscreteTime Processing of ContinuousTime Signals. ContinuousTime Processing of DiscreteTime Signals. Changing the Sampling Rate Using DiscreteTime Processing. Practical Considerations. Oversampling and Noise Shaping. Summary.
5. Transform Analysis of Linear TimeInvariant Systems.
Introduction. The Frequency Response of LTI Systems. System Functions for Systems Characterized by Linea. Frequency Response for Rational System Functions. Relationship Between Magnitude and Phase. AllPass Systems. MinimumPhase Systems. Linear Systems with Generalized Linear Phase. Summary.
6. Structures for DiscreteTime Systems.
Introduction. Block Diagram Representation of Linear ConstantCoefficient Difference Equations. Signal Flow Graph Representation of Linear ConstantCoefficient Difference Equations. Basic Structures for IIR Systems. Transposed Forms. Basic Network Structures for FIR Systems. Overview of FinitePrecision Numerical Effects. The Effects of Coefficient Quantization. Effects of Roundoff Noise in Digital Filters. ZeroInput Limit Cycles in FixedPoint Realizations of IIR Digital Filters. Summary.
7. Filter Design Techniques.
Introduction. Design of DiscreteTime IIR Filters from ContinuousTime Filters. Design of FIR Filters by Windowing. Examples of FIR Filter Design by the Kaiser Window Method. Optimum Approximations of FIR Filters. Examples of FIR Equiripple Approximation. Comments on IIR and FIR Digital Filters. Summary.
8. The Discrete Fourier Transform.
Introduction. Representation of Periodic Sequences: the Discrete Fourier Series. Summary of Properties of the DFS Representation of Periodic Sequences. The Fourier Transform of Periodic Signals. Sampling the Fourier Transform. Fourier Representation of FiniteDuration Sequences: The DiscreteFourier Transform. Properties of the Discrete Fourier Transform. Summary of Properties of the Discrete Fourier Transform. Linear Convolution Using the Discrete Fourier Transform. The Discrete Cosine Transform (DCT). Summary.
9. Computation of the Discrete Fourier Transform.
Introduction. Efficient Computation of the Discrete Fourier Transform. The Goertzel Algorithm DecimationinTime FFT Algorithms. DecimationinFrequency FFT Algorithms. Practical Considerations Implementation of the DFT Using Convolution. Summary.
10. Fourier Analysis of Signals Using the Discrete Fourier Transform.
Introduction. Fourier Analysis of Signals Using the DFT. DFT Analysis of Sinusoidal Signals. The TimeDependent Fourier Transform. Block Convolution Using the TimeDependent Fourier Transform. Fourier Analysis of Nonstationary Signals. Fourier Analysis of Stationary Random Signals: the Periodogram. Spectrum Analysis of Random Signals Using Estimates of the Autocorrelation Sequence. Summary.
11. Discrete Hilbert Transforms.
Introduction. Real and Imaginary Part Sufficiency of the Fourier Transform for Causal Sequences. Sufficiency Theorems for FiniteLength Sequences. Relationships Between Magnitude and Phase. Hilbert Transform Relations for Complex Sequences. Summary.
Appendix A: Random Signals.
DiscreteTime Random Process. Averages. Properties of Correlation and Covariance Sequences. Transform Representation of Random Signals.
Appendix B: ContinuousTime Filters.
Butterworth Lowpass Filters. Chebyshev Filters. Elliptic Filters. What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
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