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An up-to-the-minute textbook for junior/senior level signal processing courses and senior/graduate level digital filter design courses, this text is supported by a DSP software package known as D-Filter which would enable students to interactively learn the fundamentals of DSP and digital-filter design. The book includes a free license to D-Filter which will enable the owner of the book to download and install the most recent version of the software as well as future updates.
With a strong focus on basic principles and applications, this thoroughly up-to-date text provides a solid foundation in the concepts, methods, and algorithms of digital signal processing. Key topics such as spectral analysis, discrete-time systems, the sampling process, and digital filter design are all covered in well-illustrated detail.
Filled with examples and problems that can be worked in MATLAB or the author's DSP software, D-Filter, Digital Signal Processing offers a fully interactive approach to successfully mastering DSP.
Accessible and comprehensive, this resource covers the essentials of DSP theory and practice including:
The Fourier and z transforms and their application in the spectral analysis of signals
Discrete Fourier transform (DFT), fast Fourier transform (FFT) algorithms, and window techniques
Finite impulse response (FIR) and infinite impulse response (IIR) digital filter design using both closed-form and iterative optimization methods
Detailed study of digital filter imperfections
Introduction to Digital Signal Processing
The Fourier Series and Fourier Transform
The z Transform
Discrete-Time Systems
The Application of the z Transform
The Sampling Process
The Discrete Fourier Transform
Realization of Digital Filters
Design of Nonrecursive (FIR) Filters
Approximations for Analog Filters
Design of Recursive (IIR) Filters
Recursive (IIR) Filters Satisfying Prescribed Specifications
Random Signals
Effects of FiniteWord Length in Digital Filters
Design of Nonrecursive Filters Using Optimization Methods
Design of Recursive Filters Using Optimization Methods
Wave Digital Filters
Digital Signal Processing Applications
Appendix A. Complex Analysis
Appendix B. Elliptic Functions