Digital Signal Processing

Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to master the essential fundamentals of DSP principles and practice. Many instructive worked examples are used to illustrate the material, and the use of mathematics is minimized for easier grasp of concepts. As such, this title is also useful to undergraduates in electrical engineering, and as a reference for science students and practicing engineers.

The book goes beyond DSP theory, to show 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, u-law, ADPCM, and multi-rate DSP and over-sampling ADC.

New to this edition:

• MATLAB projects dealing with practical applications added throughout the book
• New chapter (chapter 13) covering sub-band coding and wavelet transforms, methods that have become popular in the DSP field
• New applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signals

• All real-time C programs revised for the TMS320C6713 DSK

  Autorentext
  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 extensively taught signals and systems, digital signal processing, analog and digital control systems, and communication systems for many years. He has published a number of refereed technical articles in journals, conference papers and book chapters in the areas of digital signal processing. He has authored and co-authored 4 textbooks, and holds a US patent. Dr. Tan is a senior member of the IEEE and has served as an associate editor for several engineering journals. 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 many 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.

  Klappentext

  This 2nd edition has been updated to include a new chapter covering sub-brand coding and wavelet transforms.

  Inhalt

Intro to DSP.Signal Sampling and Quantization.Digital Signals and Systems.Discrete Fourier Transforms and Signal SpectraThe Z-Transform.DSP Systems, Basic Filtering Type, and Digital Filter Realizations.Finite Impulse Response Filter Design.Infinite Impulse Response Filter Design.Hardware and Software for Digital Signal Processors.Adaptive Filters and Applications.

Waveform Quantization and Compression.Multirate Digital Signal Processing, Oversampling ADC Conversion, and Under Sampling of Bandpass Signals.

Subband and Wavelet Based Coding.

Image Processing Basics.Appendices

References

Answers to Selected Problems

Index