NDLI: Computing Environments for Digital Signal Processing

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Computing Environments for Digital Signal Processing

Content Provider	Scilit
Author	Dorf, Richard C.
Copyright Year	2018
Description	Computing environments provided by software tools allow users to design, simulate, and implement digital signal processing (DSP) techniques with speed, accuracy, and conﬁdence. With access to libraries of high-performance algorithms and to advanced visualization capabilities, we can design and analyze systems using the equations and notations that we use to think about signal processing problems; we do not have to translate the equations and techniques into a different notation and syntax. The graphics interface provides an integral part of this design environment, and is accessible from any point within our algorithms. Within this type of computing environment, we are more productive. However, even more importantly, we develop better solutions because we have so many more tools for analyzing solutions, for experimenting with ''what if '' questions, and for developing extensive simulations to test our solutions. To illustrate the power of these environments, we present a brief description of MATLAB, one of the most popular technical computing environments in both industry and academia, and then present ﬁve examples that use MATLAB. Book Name: The Electrical Engineering Handbook - Six Volume Set
Related Links	https://content.taylorfrancis.com/books/download?dac=C2014-0-31463-4&isbn=9781315219677&doi=10.1201/9781315219677-29&format=pdf
Ending Page	623
Page Count	14
Starting Page	610
DOI	10.1201/9781315219677-29
Language	English
Publisher	Informa UK Limited
Publisher Date	2018-12-14
Access Restriction	Open
Subject Keyword	Book Name: The Electrical Engineering Handbook - Six Volume Set Computation Theory and Mathematics Matlab Signal Processing Notations Equations Environments Digital Signal Computing Environment
Content Type	Text
Resource Type	Chapter

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