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Discrete-Time Signal Processing by Ronald W. Schafer, Alan V. Oppenheim and John R. Buck (1998, Hardcover)
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Presents the knowledge necessary for an appreciation of the wide scope of applications for discrete-time signal processing and a foundation for contributing to future developments in this technology. DLC: Signal processing--Mathematics.
- Buy it nowDiscrete-Time Signal Processing (Prentice-hall Signal Processing
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About this product
Product Identifiers
PublisherPrentice Hall PTR
ISBN-100137549202
ISBN-139780137549207
eBay Product ID (ePID)1695915
Product Key Features
Number of Pages870 Pages
Publication NameDiscrete-Time Signal Processing
LanguageEnglish
SubjectSignals & Signal Processing
Publication Year1998
FeaturesRevised
TypeTextbook
Subject AreaTechnology & Engineering
AuthorRonald W. Schafer, Alan V. Oppenheim, John R. Buck
FormatHardcover
Dimensions
Item Height1.5 in
Item Weight53.3 Oz
Item Length9.5 in
Item Width7.8 in
Additional Product Features
Edition Number2
Intended AudienceCollege Audience
LCCN98-050398
Dewey Edition21
IllustratedYes
Dewey Decimal621.382/2
Edition DescriptionRevised edition
Table Of Content1. Introduction. 2. Discrete-Time Signals and Systems. Introduction. Discrete-time Signals: Sequences. Discrete-time Systems. Linear Time-Invariant Systems. Properties of Linear Time-Invariant Systems. Linear Constant-Coefficient Difference Equations. Frequency-Domain Representation of Discrete-Time Signals and Systems. Representation of Sequence by Fourier Transforms. Symmetry Properties of the Fourier Transform. Fourier Transform Theorems. Discrete-Time Random Signals. Summary. 3. The z-Transform. Introduction. The z-Transform. Properties of the Region of Convergence for the z-Transform. The Inverse z-Transform. z-Transform Properties. Summary. 4. Sampling of Continuous-Time Signals. Introduction. Periodic Sampling. Frequency-Domain Representation of Sampling. Reconstruction of a Bandlimited Signal from its Samples. Discrete-Time Processing of Continuous-Time Signals. Continuous-Time Processing of Discrete-Time Signals. Changing the Sampling Rate Using Discrete-Time Processing. Practical Considerations. Oversampling and Noise Shaping. Summary. 5. Transform Analysis of Linear Time-Invariant 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. All-Pass Systems. Minimum-Phase Systems. Linear Systems with Generalized Linear Phase. Summary. 6. Structures for Discrete-Time Systems. Introduction. Block Diagram Representation of Linear Constant-Coefficient Difference Equations. Signal Flow Graph Representation of Linear Constant-Coefficient Difference Equations. Basic Structures for IIR Systems. Transposed Forms. Basic Network Structures for FIR Systems. Overview of Finite-Precision Numerical Effects. The Effects of Coefficient Quantization. Effects of Roundoff Noise in Digital Filters. Zero-Input Limit Cycles in Fixed-Point Realizations of IIR Digital Filters. Summary. 7. Filter Design Techniques. Introduction. Design of Discrete-Time IIR Filters from Continuous-Time 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 Finite-Duration Sequences: The Discrete-Fourier 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 Decimation-in-Time FFT Algorithms. Decimation-in-Frequency 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 Time-Dependent Fourier Transform. Block Convolution Using the Time-Dependent Fourier Transform. Fourier Analysis of Nonsta
SynopsisFor senior/graduate-level courses in Discrete-Time Signal Processing. THE definitive, authoritative text on DSP ideal for those with an introductory-level knowledge of signals and systems. Written by prominent, DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time 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., MKT_DESCRIP: 'A text for an undergraduate or early graduate course for students with a background in advanced calculus, the elements of complex numbers, and variables. Revised from the 1989 edition not so much with new information, which has not changed much at the introductory level, bu
LC Classification NumberTK5102.9.O67 1999
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Ratings and reviews
Most relevant reviews
- 19 Sep, 2018
More Clarity and Relevancy
I have the original 1975 book " Digital Signal Processing " which is a more ' dry ' read and harder to comprehend. This edition ( 1999 ), again by the - masters - ( Oppenheim and Schafer ), is easier to comprehend and they add relevancy and extended material to the subject matter plus the uses of Discrete-time signal processing. Overall, they did a fine job of over-hauling a dry read to one which sparks more interest, excitement, and further study and research into the realm of discrete-time signal processing. Added note: the importance and relevancy of discrete-time signal processing can not be underestimated in today's world with all the electronics we now have that depend on this technology to a great extent ( example - your smart-phone ).Verified purchase: YesCondition: Pre-owned
- 29 Apr, 2025
Great Value for a Classic Text in Signal Processing
The second edition of this classic text is well worth the price.Verified purchase: YesCondition: Pre-owned
