Computer Arithmetic.- Finite Impulse Response (FIR) Digital Filtres.- Infinite Impulse Response (IIR) Digital Filtres.- Multirate Signal Processing.- Fourier Transforms.- Advanced Topics.- Adaptive Filtres.- Microprocessor Design.
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Dr. Uwe Meyer-Baese received his BSEE, MSEE, and Ph.D. "Summa cum Laude" from the Darmstadt University of Technology in 1987, 1989 and 1995, respectively. He is now an Full Professor in the ECE Department at Florida State University. He holds 3 patents, has published over 100 journal and conference papers, 6 books and supervised more than 60 master and Ph.D. thesis projects in the real-time DSP/FPGA area. In 2003, he was awarded the “Habilitation” (venia legendi) by the Darmstadt University of Technology. He is PI and CO-PI of projects valued more than 9 million USD. His research is funded by NIH, NSF, FSU, DOD, Harris, SUN microsystems, Altera, Xilinx and the State of Florida. He is author of the best-selling textbook on DSP with FPGAs by Springer Verlag sold over 20K copies. He received in 1997 the Max-Kade Award in Neuroengineering, the Outstanding Teaching Award from Florida State University in 2008, the Best Presentation Award from SPIE in 2006, Who's Who in Science member in 2005, and the Humboldt Research Award in 2009. Dr. Meyer-Baese has been promoted by the Institute of Electrical and Electronics Engineers (IEEE) to Senior Member status in 2013.
Field-Programmable Gate Arrays (FPGAs) are revolutionizing digital signal processing. The efficient implementation of front-end digital signal processing algorithms is the main goal of this book. It starts with an overview of today's FPGA technology, devices, and tools for designing state-of-the-art DSP systems. A case study in the first chapter is the basis for more than 40 design examples throughout. The following chapters deal with computer arithmetic concepts, theory and the implementation of FIR and IIR filters, multirate digital signal processing systems, DFT and FFT algorithms, advanced algorithms with high future potential, and adaptive filters. Each chapter contains exercises. The VERILOG source code and a glossary are given in the appendices.
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