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Upper Saddle River, NJ: Prentice Hall, 1996. Digital Signal Processing: Principles, Algorithms, and Applications. The books covers the following topics: parametric signal modeling, spectral estimation, multirate signal processing, efficient Fourier transform and convolution algorithms, adaptive signal processing, short-time Fourier transform, 2D signal processing, and some topics in filter design.
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Englewood Cliffs, NJ: Prentice Hall, 1988.
DISCRETE TIME SIGNAL PROCESSING OPPENHEIM CODE
The material is presented very clearly, with an abundance of applications, and MATLAB® code for the algorithms.
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This book provides a comprehensive treatment of signal processing algorithms for modeling discrete-time signals, designing optimal digital filters, estimating the power spectrum of a random process, and designing and implementing adaptive filters. Statistical Digital Signal Processing and Modeling. technical papers) which include derivations. This book either shows and explains derivations, or gives bibliographic references to other literature (e.g. This book includes detailed discussions of implementation issues associated with multirate systems, such as efficient polyphase structures, and design techniques for decimation and especially interpolation filters. Englewood Cliffs, NJ: Prentice Hall, 1983.
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technical papers) which include derivations.Ĭrochiere, Ronald E., and Lawrence R. This book includes thorough discussions of digital filter design methods and shows and explains derivations, or gives bibliographic references to other literature (e.g. "From Frequency to Quefrency: A History of the Cepstrum." Signal Processing Magazine, IEEE 21, no. "An Overview of Sigma-Delta Converters." Signal Processing Magazine, IEEE 13, no. "Gauss and the History of the Fast Fourier Transform." ASSP Magazine, IEEE 1, no. "How the FFT Gained Acceptance." Signal Processing Magazine, IEEE 9, no. "The Chirp Z-Transform Algorithm - A Lesson in Serendipity." Signal Processing Magazine, IEEE 21, no. Also, although, strictly speaking, xn denotes thenthnumber in the sequence, the notation of Eq. "Efficient rational sampling rate alteration using IIR filters." Signal Processing Letters, IEEE 7, no. Oppenheim book J8:10 Section 2.1 Discrete-Time Signals11 to refer toxn as the nthsample of the sequence. "Theoretical foundations of transform coding." Signal Processing Magazine, IEEE 18, no. "Human Stress Provoked By Digitalized Recordings: Introducing Life Energy Plus™." Journal of the Audio Engineering Society 28, no. "Design of Efficient Digital Interpolation Filters for Integer Upsampling." Master's thesis, Massachusetts Institute of Technology, June 2004.ĭiamond, J. Prentice Hall bundles both the text and the MATLAB® book under ISBN: 0130847127. However, purchase of this reference is optional. In addition to providing opportunities for hands-on practice with the ideas and concepts developed in class, this book contains a variety of MATLAB® tips that may be useful to you in undertaking the class projects. Upper Saddle River, NJ: Prentice Hall, 1998. Computer-Based Exercises for Signal Processing Using MATLAB® 5. Errata for the textbook can be found at the following Web site.Īlso, some of you may find the following MATLAB® exercise book to be a useful reference, although we will not use it directly in any way: Problems and suggested readings will be keyed to the second edition. While there's considerable overlap between the second and first editions of the text, there are also important differences. Upper Saddle River, NJ: Prentice Hall, 1999. These lecture notes, the text book and included problem sets and solutions will hopefully be helpful as you learn and explore the topic of Discrete-Time Signal Processing.Oppenheim, A. I would like to express my thanks to Thomas Baran, Myung Jin Choi, and Xiaomeng Shi for compiling the lecture notes on this site from my individual lectures and handouts and their class notes during the semesters that they were students in the course. The major concepts covered include: Discrete-time processing of continuous-time signals decimation, interpolation, and sampling rate conversion flowgraph structures for DT systems time-and frequency-domain design techniques for recursive (IIR) and non-recursive (FIR) filters linear prediction discrete Fourier transform, FFT algorithm short-time Fourier analysis and filter banks multirate techniques Hilbert transforms Cepstral analysis and various applications. This class addresses the representation, analysis, and design of discrete time signals and systems. This course features a complete set of lecture notes and assignments which tie directly into the required textbook: Oppenheim and Schafer with Buck, Discrete-Time Signal Processing, 2nd ed, Upper Saddle River, NJ: Prentice-Hall, 1999, ISBN: 0137549202. Assignments: problem sets with solutions.