
Digital Signal Processing Using MATLAB®: A Problem Solving Companion
Author: John G. Proakis
Brand: Cengage Learning
Binding: paperback
Number Of Pages: 672
Release Date: 01-12-2017
Part Number: 9789386668110
Details: Help your student learn to maximize MATLAB as a computing tool to explore traditional Digital Signal Processing (DSP) topics, solve problems and gain insights. An extremely valuable supplementary text, Digital signal processing using MATLAB : A problem solving companion, 4E greatly expands the range and complexity of problems that students can effectively study in your course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, they require a significant amount of programming. Using interactive software, such as MATLAB, makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. This engaging supplemental text introduces interesting practical examples and shows students how to explore useful problems. New, optional online chapters introduce advanced topics, such as optimal filters, linear prediction and adaptive filters, to further prepare your students for graduate-level success.
EAN: 9789386668110
Package Dimensions: 9.4 x 7.2 x 1.7 inches
Languages: English
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Description
Author: John G. Proakis
Brand: Cengage Learning
Binding: paperback
Number Of Pages: 672
Release Date: 01-12-2017
Part Number: 9789386668110
Details: Help your student learn to maximize MATLAB as a computing tool to explore traditional Digital Signal Processing (DSP) topics, solve problems and gain insights. An extremely valuable supplementary text, Digital signal processing using MATLAB : A problem solving companion, 4E greatly expands the range and complexity of problems that students can effectively study in your course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, they require a significant amount of programming. Using interactive software, such as MATLAB, makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. This engaging supplemental text introduces interesting practical examples and shows students how to explore useful problems. New, optional online chapters introduce advanced topics, such as optimal filters, linear prediction and adaptive filters, to further prepare your students for graduate-level success.
EAN: 9789386668110
Package Dimensions: 9.4 x 7.2 x 1.7 inches
Languages: English


















