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MATLAB FIR Filter Design Exercise
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MATLAB FIR Filter Design Exercise
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FIR Filter Design using MATLAB
(m10917)
Author:
Hyeokho Choi
Keywords:
FIR
,
MATLAB
Summary:
This module explains the MATLAB commands for FIR filter design.
Subject:
Science and Technology
Language:
English
Popularity:
99.21%
Revised:
2005-08-14
Revisions:
3
Multirate Filtering: Filter-Design Exercise in MATLAB (Thai Version)
(m12438)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Jake Janovetz
,
Michael Kramer
,
Dima Moussa
,
Daniel Sachs
,
Brian Wade
,
Patrick Frantz
,
Kamolchanok Kriengchaipruck
Keywords:
anti-aliasing
,
anti-imaging
,
downsample
,
DSP
,
filter design
,
MATLAB
,
multirate
,
sample-rate compressor
,
sample-rate expander
,
upsample
,
zero-placement
Summary:
You will design a low-pass finite impulse-response filter using the zero-placement method in MATLAB. The filter can be used as an anti-aliasing and anti-imaging filter in a multirate system.
Subject:
Science and Technology
Language:
ไทย
Popularity:
80.02%
Revised:
2004-11-23
Revisions:
New
Multirate Filtering: Filter-Design Exercise in MATLAB
(m10815)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Jake Janovetz
,
Michael Kramer
,
Dima Moussa
,
Daniel Sachs
,
Brian Wade
Keywords:
anti-aliasing
,
anti-imaging
,
downsample
,
DSP
,
filter design
,
MATLAB
,
multirate
,
sample-rate compressor
,
sample-rate expander
,
upsample
,
zero-placement
Summary:
You will design a low-pass finite impulse-response filter using the zero-placement method in MATLAB. The filter can be used as an anti-aliasing and anti-imaging filter in a multirate system.
Subject:
Science and Technology
Language:
English
Popularity:
93.81%
Revised:
2004-02-25
Revisions:
7
Parks-McClellan FIR Filter Design
(m12799)
Author:
Douglas L. Jones
Keywords:
design
,
digital
,
DSP
,
filter
,
FIR
Subject:
Science and Technology
Language:
English
Popularity:
94.30%
Revised:
2007-02-25
Revisions:
3
Multirate Filtering: Filter-Design Exercise in MATLAB (Chinese Version)
(m12448)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Jake Janovetz
,
Michael Kramer
,
Dima Moussa
,
Daniel Sachs
,
Brian Wade
,
Patrick Frantz
,
Kanglin Wang
Keywords:
anti-aliasing
,
anti-imaging
,
downsample
,
DSP
,
filter design
,
MATLAB
,
multirate
,
sample-rate compressor
,
sample-rate expander
,
upsample
,
zero-placement
Summary:
You will design a low-pass finite impulse-response filter using the zero-placement method in MATLAB. The filter can be used as an anti-aliasing and anti-imaging filter in a multirate system.
Subject:
Science and Technology
Language:
中文
Popularity:
79.40%
Revised:
2004-12-01
Revisions:
2
Multirate Filtering: Filter-Design Exercise in MATLAB (日本語 - Japanese)
(m12361)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Jake Janovetz
,
Michael Kramer
,
Dima Moussa
,
Daniel Sachs
,
Brian Wade
,
Patrick Frantz
,
Emiko Yamai
,
Hironori Takaryo
,
Yoji Yamada
Keywords:
anti-aliasing
,
anti-imaging
,
downsample
,
DSP
,
filter design
,
MATLAB
,
multirate
,
sample-rate compressor
,
sample-rate expander
,
upsample
,
zero-placement
Summary:
z平面に零点を直接配置する手法により、MATLABを用いて低域通過FIRフィルタを設計します。設計したフィルタは、マルチレートシステムにおけるアンチエリアジング・フィルタおよびイメージ成分除去フィルタとして利用することができます。
Subject:
Science and Technology
Language:
日本語
Popularity:
88.59%
Revised:
2005-08-17
Revisions:
4
DSP Development Environment: Introductory Exercise for TI TMS320C54x
(m12607)
Authors:
Mark Butala
,
Jason Laska
Keywords:
anti-aliasing filter
,
anti-imaging filter
,
Code Composer Studio
,
DSP
,
FIR filter
,
function generator
,
MATLAB
,
oscilliscope
,
test vector
,
TMS320C54x
Summary:
This exercise introduces the hardware and software used in the course. By the end of this module, you should be comfortable with the basics of testing a simple real-time DSP system with Code Composer Studio, the debugging environment we will be using throughout the semester. First you will connect ... DSP's output.
[Expand Summary]
This exercise introduces the hardware and software used in the course. By the end of this module, you should be comfortable with the basics of testing a simple real-time DSP system with Code Composer Studio, the debugging environment we will be using throughout the semester. First you will connect the laboratory equipment and test a real-time DSP system with provided code to implement an eight-tap (eight coefficient) finite impulse response (FIR) filter. With a working system available, you will then begin to explore the debugging software used for downloading, modifying, and testing your code. Finally, you will create a filter in MATLAB and use test vectors to verify the DSP's output.
[Collapse Summary]
Subject:
Science and Technology
Language:
English
Popularity:
69.25%
Revised:
2009-06-11
Revisions:
4
DSP Development Environment: Introductory Exercise for TI TMS320C54x
(m10017)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Dima Moussa
,
Daniel Sachs
Keywords:
anti-aliasing filter
,
anti-imaging filter
,
Code Composer Studio
,
DSP
,
FIR filter
,
function generator
,
MATLAB
,
oscilliscope
,
test vector
,
TMS320C54x
Summary:
This exercise introduces the hardware and software used in the course. By the end of this module, you should be comfortable with the basics of testing a simple real-time DSP system with Code Composer Studio, the debugging environment we will be using throughout the semester. First you will connect ... DSP's output.
[Expand Summary]
This exercise introduces the hardware and software used in the course. By the end of this module, you should be comfortable with the basics of testing a simple real-time DSP system with Code Composer Studio, the debugging environment we will be using throughout the semester. First you will connect the laboratory equipment and test a real-time DSP system with provided code to implement an eight-tap (eight coefficient) finite impulse response (FIR) filter. With a working system available, you will then begin to explore the debugging software used for downloading, modifying, and testing your code. Finally, you will create a filter in MATLAB and use test vectors to verify the DSP's output.
[Collapse Summary]
Subject:
Science and Technology
Language:
English
Popularity:
92.58%
Revised:
2009-06-03
Revisions:
25
DSP Development Environment: Introductory Exercise for TI TMS320C54x (ECE 420 Specific)
(m11019)
Authors:
Mark Butala
,
Jason Laska
Keywords:
anti-aliasing filter
,
anti-imaging filter
,
Code Composer Studio
,
DSP
,
FIR filter
,
function generator
,
MATLAB
,
oscilliscope
,
test vector
,
TMS320C54x
Summary:
This exercise introduces the hardware and software used in the course. By the end of this module, you should be comfortable with the basics of testing a simple real-time DSP system with Code Composer Studio, the debugging environment we will be using throughout the semester. First you will connect ... DSP's output.
[Expand Summary]
This exercise introduces the hardware and software used in the course. By the end of this module, you should be comfortable with the basics of testing a simple real-time DSP system with Code Composer Studio, the debugging environment we will be using throughout the semester. First you will connect the laboratory equipment and test a real-time DSP system with provided code to implement an eight-tap (eight coefficient) finite impulse response (FIR) filter. With a working system available, you will then begin to explore the debugging software used for downloading, modifying, and testing your code. Finally, you will create a filter in MATLAB and use test vectors to verify the DSP's output.
[Collapse Summary]
Subject:
Science and Technology
Language:
English
Popularity:
91.05%
Revised:
2009-06-11
Revisions:
8
DSP Development Environment: Introductory Exercise for TI TMS320C55x
(m13811)
Author:
Thomas Shen
Keywords:
anti-aliasing filter
,
anti-imaging filter
,
Code Composer Studio
,
DSP
,
FIR filter
,
function generator
,
MATLAB
,
oscilliscope
,
test vector
,
TMS320C55x
Summary:
This exercise introduces the hardware and software used in the course. By the end of this module, you should be comfortable with the basics of testing a simple real-time DSP system with Code Composer Studio, the debugging environment we will be using throughout the semester. First you will connect ... DSP's output.
[Expand Summary]
This exercise introduces the hardware and software used in the course. By the end of this module, you should be comfortable with the basics of testing a simple real-time DSP system with Code Composer Studio, the debugging environment we will be using throughout the semester. First you will connect the laboratory equipment and test a real-time DSP system with provided code to implement an eight-tap (eight coefficient) finite impulse response (FIR) filter. With a working system available, you will then begin to explore the debugging software used for downloading, modifying, and testing your code. Finally, you will create a filter in MATLAB and use test vectors to verify the DSP's output.
[Collapse Summary]
Subject:
Science and Technology
Language:
English
Popularity:
89.26%
Revised:
2008-02-28
Revisions:
14
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1
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»
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