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Details for:
Antoniou A. Digital Signal Processing. Signals,...Filters 2006
antoniou digital signal processing signals filters 2006
Type:
E-books
Files:
1
Size:
11.0 MB
Uploaded On:
June 29, 2022, 8:33 a.m.
Added By:
andryold1
Seeders:
1
Leechers:
0
Info Hash:
AF57F6EBD67AA5EEEC5D0D081394D2BBE7D21BFB
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Textbook in PDF format 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
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Antoniou A. Digital Signal Processing. Signals,...Filters 2006.pdf
11.0 MB
