Digital Signal Processing: Fundamentals and Applications, Third Edition, not only introduces students to the fundamental principles of DSP, it also provides a working knowledge that they take with them into their engineering careers. Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts. As such, this title is also useful as a reference for non-engineering students and practicing engineers. The book goes beyond DSP theory, showing the implementation of algorithms in hardware and software.
Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, µ-law, ADPCM, and multi-rate DSP, over-sampling ADC subband coding, and wavelet transform.
- Covers DSP principles with an emphasis on communications and control applications
- Includes chapter objectives, worked examples, and end-of-chapter exercises that aid the reader in grasping key concepts and solving related problems
- Provides an accompanying website with MATLAB programs for simulation and C programs for real-time DSP
- Presents new problems of varying types and difficulties
1. Introduction To Digital Signal Processing 2. Signal Sampling And Quantization 3. Digital Signals And Systems 4. Discrete Fourier Transform And Signal Spectra 5. The Z-Transform 6. DSP Systems, Basic Filtering Type, And Digital Filter Realizations 7. Finite Impulse Response Filter Design 8. Infinite Impulse Response Filter Design 9. Adaptive Filters And Applications 10. Waveform Quantization And Compression 11. Multirate Digital Signal Processing, Oversampling Analog-To-Digital Conversion, And Under Sampling Of Bandpass Signals 12. Sub-band and Wavelet-Based Coding 13. Image Processing Basics 14. Hardware And Software For Digital Signal Processors
Lizhe Tan is a professor in the Department of Electrical and Computer Engineering at Purdue University Northwest. He received his Ph.D. degree in Electrical Engineering from the University of New Mexico, Albuquerque, in 1992. Dr. Tan has taught digital signal processing, control systems and communication systems for over 20 years. He has published a number of refereed technical articles in journals, conference papers and book chapters in the area of digital signal processing. He has co-authored 4 textbooks, and holds a US patent. Dr. Tan is a senior member of the IEEE.
Jean Jiang is an associate professor in the Department of Engineering Technology at Purdue University Northwest. She received her Ph.D. degree in Electrical Engineering from the University of New Mexico, Albuquerque, in 1992. Dr. Jiang has taught digital signal processing, control systems and communication systems for over 20 years. She has published a number of refereed technical articles in journals, conference papers and book chapters in the area of digital signal processing, and co-authored 4 textbooks. Dr. Jiang is a senior member of the IEEE.