Practical Applications in Digital Signal Processing

Master practicalDSP application design and implementation in hardware and software! Focusing on real-world design knowledge rarely taught in the classroom, Richard Newbold gives engineering students, entry level engineers, and experienced engineers the critical DSP design information they need to be productive. Clearly and concisely, he shortens DSP's steep learning curve, equipping engineers to produce system-level, hardware-level, and software-level designs without having to reinvent technical solutions already known to industry veterans. Practical Applications in Digital Signal Processingbegins by carefully introducing today's essential mathematical tools for DSP system design, including complex variables, Fourier transforms, and Z-transforms. Next, drawing on 30 years as a digital hardware design engineer, Newbold presents complete tutorials on designing and developing each of these applications: mixed-language C/C++ FORTRAN programming; FIR digital filtering; multirate FIR filter design; complex-to-real conversion; digital frequency synthesis; signal tuning; elastic store memory; Digital DLLs; channelized filter banks; and digital automatic gain control. Every application is illustrated with detailed diagrams and thoroughly annotated figures that give readers a complete visual realization of the subject matter.

Richard Newbold received B.S.E.E and M.S.E.E degrees in 1974 and 1978, respectively, and has spent more than thirty years as a digital hardware design engineer and as a self-taught software designer. His design experience includes special-purpose signal processing hardware and computers that process real-time wideband signals, direct sequence spread spectrum system processors, PCM multirate processing systems, high-speed signal processing systems implemented on special purpose Gallium Arsenide ASICS, transmultiplexers, channelizers, multirate filters, tuners, frequency synthesizers, data lock loops, SDH demultiplexers, fractional re-samplers, adaptive filters, elastic store memories, adaptive beam forming, asynchronous clock recovery, and fault tolerant signal processors. His software experience includes real-time signal processing, bit-level hardware simulations, microcode and bit slice programming, assembly programming, FORTRAN, C/C++, and Microsoft Windows graphics oriented test stations that were used to bit level simulate, graphically display, and to verify the proper operation of his digital creations.

Preface

 

Chapter 1: Review of Digital Frequency

Chapter 2: Review of Complex Variables

Chapter 3: Review of the Fourier Transform

Chapter 4: Review of the Z Transform

Chapter 5: Finite Impulse Response Digital Filtering

Chapter 6: Multirate FIR Filter Design

Chapter 7: Complex to Real Conversion

Chapter 8: Digital Frequency Synthesis

Chapter 9: Signal Tuning

Chapter 10: Elastic Store Memory

Chapter 11: Digital Data Locked Loops (DLLs)

Chapter 12: Channelized Filter Bank

Chapter 13: Digital Automatic Gain Control

Appendix: Mixed Language C/C++ FORTRAN Programming

 

Index