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Filter Design for Signal Processing using MATLAB and Mathematica
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by Miroslav D Lutovac, Dejan V. Tosic, and Brian L. Evans
Sales Rank: 1319903
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$564.74
At Amazon

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Hardcover: 784 pages
Publisher: Prentice Hall; 1st edition September 6, 2000
Language: English
ISBN-10: 0201361302
ISBN-13: 978-0201361308
Product Dimensions:
9.5 x 7.4 x 1.4 inches
Shipping Weight: 2.8 pounds
Product Description
A complete up-to-date reference for advanced analog and digital IIR filter design rooted in elliptic functions. Revolutionary in approach, this book opens up completely new vistas in basic analog and digital IIR filter design--regardless of the technology. By introducing exceptionally elegant and creative mathematical stratagems (e.g., accurate replacement of Jacobi elliptic functions by functions comprising polynomials, square roots, and logarithms), optimization routines carried out with symbolic analysis by Mathematica, and the advance filter design software of MATLAB, it shows readers how to design many types of filters that cannot be designed using conventional techniques. The filter design algorithms can be directly programed in any language or environment such as Visual BASIC, Visual C, Maple, DERIVE, or MathCAD. Signals; Systems; Transforms; Classical Analog Filter Design; Advanced Analog Filter Design Case Studies; Advanced Analog Filter Design Algorithms; Multi-criteria Optimization of Analog Filter Designs; Classical Digital Filter Design; Advanced Digital Filter Design Case Studies; Advanced Digital Filter Design Algorithms; Multi-criteria Optimization of Digital Filter Designs; Elliptic Functions; Elliptic Rational Function.
Book Info
Includes ready-to-user filter design algorithms and implementations of the algorithms in both MATLAB and Mathematica. Case studies present filters that cannot be designed with conventional techniques but can be designed with advanced methods. DLC: Electric filters--design and construction.
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Filter Design for Signal Processing using MATLAB and Mathematica
Available from Amazon
Price: $564.74

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