James D. Broesch is a staff engineer for General Atomics, where he is responsible for the design and development of several advanced control systems used on fusion control programs. He also teaches classes in signal processing and hardware design at the University of California-San Diego. · Integrated book/software package allows readers to simulate digital signal processing (DSP) situations and experiment with effects of different DSP techniques. · Gives an applications-oriented approach to DSP instead of a purely mathematical one. · The accompanying CD includes a DSP "calculator" to help solve design problems
Digital Signal Processing
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.
Provides a detailed treatment of the concepts and applications of advanced digital signal processing.
Explains digital and analog signals and DSP applications using everyday examples and simple diagrams, including digital signal collection, filtering, analysis, and how digital signal processing works in modern electronic devices.
The book provides a comprehensive exposition of all major topics in digital signal processing (DSP).
It's not surprising that, to the layman, these terms are typically used interchangeably. When we check our thesaurus, we find that they are synonymous.† In engineering, however, they mean two different things, and we must keep that ...
In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips.
This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one ...
This book is useful as a Textbook for undergratuate students of Electronics and Telecommunication Engineering and allied disciplines, as well as diploma and science courses
Digital Signal Processing: Theory, Design, and Implementation