基本信息
源码名称：Digital Signal Processing Using Matlab
源码大小：7.15M
文件格式：.pdf
开发语言：MATLAB
更新时间：2022-02-20
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源码介绍
revolution is still continuing today with low-cost personal computer
systems that rival the performance of expensive workstations. This technological
prowess should be brought to bear on the educational process
and, in particular, on effective teaching that can result in enhanced learning.
This companion book on digital signal processing (DSP) makes a
small contribution toward reaching that goal.
The teaching methods in signal processing have changed over the
years from the simple “lecture-only” format to a more integrated “lecturelaboratory”
environment in which practical hands-on issues are taught
using DSP hardware. However, for effective teaching of DSP the lecture
component must also make extensive use of computer-based explanations,
examples, and exercises. For the past several years, the MATLAB software
developed by The MathWorks, Inc. has established itself as the de
facto standard for numerical computation in the signal-processing community
and as a platform of choice for algorithm development. There are
several reasons for this development, but the most important reason is
that MATLAB is available on practically all-computing platforms. In this
book we have made an attempt at integrating MATLAB with traditional
topics in DSP so that it can be used to explore difficult topics and solve
problems to gain insight. Many problems or design algorithms in DSP
require considerable computation. It is for these that MATLAB provides
a convenient tool so that many scenarios can be tried with ease. Such an
approach can enhance the learning process.
Digital Signal Processing Using Matlab
From the beginning of the 1980s we have witnessed a revolution in
computer technology and an explosion in user-friendly applications. Thisrevolution is still continuing today with low-cost personal computer
systems that rival the performance of expensive workstations. This technological
prowess should be brought to bear on the educational process
and, in particular, on effective teaching that can result in enhanced learning.
This companion book on digital signal processing (DSP) makes a
small contribution toward reaching that goal.
The teaching methods in signal processing have changed over the
years from the simple “lecture-only” format to a more integrated “lecturelaboratory”
environment in which practical hands-on issues are taught
using DSP hardware. However, for effective teaching of DSP the lecture
component must also make extensive use of computer-based explanations,
examples, and exercises. For the past several years, the MATLAB software
developed by The MathWorks, Inc. has established itself as the de
facto standard for numerical computation in the signal-processing community
and as a platform of choice for algorithm development. There are
several reasons for this development, but the most important reason is
that MATLAB is available on practically all-computing platforms. In this
book we have made an attempt at integrating MATLAB with traditional
topics in DSP so that it can be used to explore difficult topics and solve
problems to gain insight. Many problems or design algorithms in DSP
require considerable computation. It is for these that MATLAB provides
a convenient tool so that many scenarios can be tried with ease. Such an
approach can enhance the learning process.