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Overview of digital signal processing algorithms, part II - Part 10 in a series of tutorials in instrumentation and measurement

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Digital signal processing (DSP) is the process of taking a signal and performing an algorithm on it to analyze, modify, or better identify that signal. To take advantage of DSP advances, one must have at least a basic understanding of DSP theory along with an understanding of the hardware architecture designed to support these new advances. There are several programming techniques that maximize the efficiency of the DSP hardware, as well as a few fundamental concepts used to implement DSP software. This tutorial will touch on the fundamental concepts of DSP theory and algorithms and also provide an overview of the implementation and optimization of DSP software.

Published in:

Instrumentation & Measurement Magazine, IEEE  (Volume:10 ,  Issue: 2 )

Date of Publication:

April 2007

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