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Filter Design for Signal Processing Using MATLAB and Mathematica word 网盘 高速 下载地址大全 免费

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Filter Design for Signal Processing Using MATLAB and Mathematica书籍详细信息


内容简介:

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.

书籍目录:

Foreword Preface 1. Signals 2. Systems 3. Tranforms 4. Classic Analog Filter Design 5. Advanced Analog Filter Design Case Studies 6. Advanced Analog Filter Design Algorithms 7. Multicriteria Optimization of Analog Filter Designs 8. Classic Digital Filter Design 9. Advanced Digital Filter Design Case Studies 10. Advanced Digital Filter Design Algorithms 11. Multicriteria Optimization of Design Filter Designs 12. Elliptic Functions 13. Elliptic Rational Function Appendix A. Example Mathematica Notebooks References Index

作者简介:

Miroslav D. Lutovac is a chief scientist at the Institute for Research and Development in Telecommunications and Electronics (IRITEL) and is an Associate Professor in the School of Electrical and Computer Engineering, both of which are located at the University of Belgrade in Belgrade, Yugoslavia. His research interests include theory and implementation of active, passive, and digital networks and systems, filter approximation, symbolic analysis and synthesis of digital filters, and multiplierless digital IIR filter design. He has published over 100 papers in these fields. He received his B.Sc. (1981), M.Sc. (1985), and D.Sc. (1991) degrees in Electrical Engineering from the University of Belgrade in Belgrade, Yugoslavia. He has managed several national projects on multichip module design and voice delta coders. He teaches courses in electronics, computer-aided design, digital signal processing, and filter analysis and design. Dejan V. Tošić is an Associate Professor in the School of Electrical and Computer Engineering at the University of Belgrade in Belgrade, Yugoslavia. His research interests include circuit theory and analysis, filter design and synthesis, neural networks, microwave circuits, and computer-aided design. He has published over 100 papers in these fields. He is currently concentrating his research efforts on creating a general framework for the symbolic analysis of linear circuits and systems, which is suitable for research, industrial, and educational applications. Using this framework, he is developing design automation tools for optimizing the design and synthesis of analog and digital filters. He received his B.Sc. (1980), M.Sc. (1986), and D.Sc. (1996) degrees in Electrical Engineering from the University of Belgrade in Belgrade, Yugoslavia. In 1992, he won the Teacher of the Year Award from the School of Electrical and Computer Engineering at the University of Belgrade. He teaches classes in circuit theory, microwave engineering, and digital image processing. Brian L. Evans is an Associate Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin, and is the Director of the Embedded Signal Processing Laboratory, which is part of the Center for Telecommunications and Signal Processing and the Center for Vision and Image Sciences. His research interests include real-time embedded systems; signal, image and video processing systems; system-level design; electronic design automation; symbolic computation; and filter design. Dr. Evans has published over 75 refereed conference and journal papers in these fields. He developed and currently teaches Multidimensional Digital Signal Processing, Embedded Software Systems, Real-Time Digital Signal Processing Laboratory, and Linear Systems and Signals. His B.S.E.E.C.S. (1987) degree is from the Rose-Hulman Institute of Technology, and his M.S.E.E. (1988) and Ph.D.E.E. (1993) degrees are from the Georgia Institute of Technology. From 1993 to 1996, he was a postdoctoral researcher at the University of California at Berkeley with the Ptolemy Project. Ptolemy is a research project and software environment focused on design methodology for signal processing, communications, and controls systems. In addition to Ptolemy, he has played a key role in the development and release of six other computer-aided design frameworks, including the Signals and Systems Pack for Mathematica, which has been on the market since the Fall of 1995. He is an Associate Editor of the IEEE Transactions on Image Processing, a member of the Design and Implementation of Signal Processing System Systems Technical Committee of the IEEE Signal Processing Society, and a Senior Member of the IEEE. He is a recipient of a 1997 National Science Foundation CAREER Award.

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