Digital Signal Processing System Design

Digital Signal Processing System Design combines textual and graphical programming to form a hybrid programming approach, enabling a more effective means of building and analyzing DSP systems. The hybrid programming approach allows the use of previously developed textual programming solutions to be integrated into LabVIEW's highly interactive and visual environment, providing an easier and quicker method for building DSP systems. This book is an ideal introduction for engineers and students seeking to develop DSP systems in quick time. Features:
- The only DSP laboratory book that combines textual and graphical programming
- 12 lab experiments that incorporate C/MATLAB code blocks into the LabVIEW graphical programming environment via the MathScripting feature
- Lab experiments covering basic DSP implementation topics including sampling, digital filtering, fixed-point data representation, frequency domain processing
- Interesting applications using the hybrid programming approach, such as a software-defined radio system, a 4-QAM Modem, and a cochlear implant simulator
- The only DSP project book that combines textual and graphical programming
- 12 Lab projects that incorporate MATLAB code blocks into the LabVIEW graphical programming environment via the MathScripting feature
- Interesting applications such as the design of a cochlear implant simulator and a software-defined radio system

Nasser Kehtarnavaz is Professor of Electrical Engineering at University of Texas at Dallas. He has written numerous papers and five other books pertaining to signal and image processing, and regularly teaches digital signal processing laboratory courses, for which this book is intended. Among his many professional activities, he is Coeditor-in-Chief of Journal of Real-Time Image Processing, and Chair of the Dallas Chapter of the IEEE Signal Processing Society. Dr. Kehtarnavaz is a Fellow of SPIE, a Senior Member of IEEE, and a Professional Engineer.

Introduction; LabVIEW Programming Environment; Getting Familiar with LabVIEW I; Getting Familiar with LabVIEW II; Analog-To-Digital Signal Conversion; Sampling, Quantization, and Reconstruction; Digital Filtering; FIR/IIR Filtering System Design; Fixed Point vs Floating-Point; Data Type and Scaling; Adaptive Filtering; Adaptive Filtering Systems; Frequency Domain Processing; FFT, STFT and DWT; DSP Implementation Platform: TMS320C6x Architecture and Software Tools; Getting Familiar with Code Composer Studio; LabVIEW DSP Integration; DSP Integration Examples; DSP System Design: Dual-Tone Multi-Frequency (DTMF) Signaling; DSP System Design: Software Defined Radio; Building a 4-QAM Modem; DSP System Design: Cochlear Implant Simulator