Digital signal processing lies at the heart of the communications revolution and is an essential element of key technologies such as mobile phones and the Internet. This book covers all the major topics in digital signal processing (DSP) design and analysis, supported by MatLab examples and other modelling techniques. The authors explain clearly and concisely why and how to use digital signal processing systems; how to approximate a desired transfer function characteristic using polynomials and ratio of polynomials; why an appropriate mapping of a transfer function on to a suitable structure is important for practical applications; and how to analyse, represent and explore the trade-off between time and frequency representation of signals. An ideal textbook for students, it will also be a useful reference for engineers working on the development of signal processing systems.
Table of Contents
Preface; Introduction; 1. Discrete-time systems; 2. The z and Fourier transforms; 3. Discrete transforms; 4. Digital filters; 5. FIR filter approximations; 6. IIR filter approximations; 7. Finite precision effects; 8. Multirate systems; 9. Filter banks and wavelets; 10. Efficient FIR structures; 11. Efficient IIR structures; 12. Implementation of DSP systems; References; Index.
Paulo S. R. Diniz received his B.Sc. and M.Sc degrees in Electrical Engineering from the Universidade Federal do Rio de Janeiro in 1979 and 1981, and his Ph.D. from Concordia University, Montreal, Canada in 1984. Paulo teaches at the undergraduate Department of Electronic Engineering at the UFRJ, and on the graduate Program of Electrical Engineering at COPPE/UFRJ, where he is presently a Professor. He served as undergraduate course coordinator and as Chairman of the graduate department. He is an active Senior Member of the IEEE and is an associate editor of two IEEE journals: 'Transactions on Signal Processing' and 'Circuits, Systems and Digital Signal Processing'. Eduardo A. B. da Silva received his Engineering degree in Electronics from Instituto Militar de Engenharia (IME), Brazil, in 1984, his M.Sc. degree in Electronics from Universidade Federal do Rio de Janeiro (COPPE/UFRJ) in 1990 and his Ph.D. in Electronics from the University of Essex, England, in 1995. Eduardo is currently an Associate Professor at the Department of Electronics (DEL/UFRJ) and (PEE/COPPE/UFRJ). His research interests lie in the fields of signal processing and image coding, especially wavelet transform coding, lattice vector quantization and subjective assessment of images. Dr da Silva is a member of the IEEE. Sergio L. Netto received his B.Sc. in Electrical Engineering from the Universidade Federal do Rio de Janeiro (UFRJ) in 1991, his M.Sc. from COPPE/UFRJ in 1992, and his Ph.D. from the University of Victoria, BC, Canada, in 1996. Since 1997, Dr Netto has been an Associate Professor at the undergraduate Department of Electronics/School of Engineering at UFRJ. His research interests are in IIR adaptive signal processing and digital filter design.