Optimization techniques and benchmarks of the finite impulse response (FIR) filters on the blackfin processor
Digital Signal Processing (DSP) algorithms, which are commonly used in any customer electronics devices such as handheld devices, have evolved to a more and more complex algorithm. However, some of the basic algorithm kernel, such as the FIR filter, can be found in many DSP based application. Thus,...
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sg-ntu-dr.10356-33402023-07-04T15:52:22Z Optimization techniques and benchmarks of the finite impulse response (FIR) filters on the blackfin processor Tandi Wijaya. Gan, Woon Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Digital Signal Processing (DSP) algorithms, which are commonly used in any customer electronics devices such as handheld devices, have evolved to a more and more complex algorithm. However, some of the basic algorithm kernel, such as the FIR filter, can be found in many DSP based application. Thus, our work emphasizes on the optimization techniques to reduce the execution time of the Finite Impulse Response filter. Our optimization techniques are carried both in C program and in assembly program. Master of Science (Signal Processing) 2008-09-17T09:27:50Z 2008-09-17T09:27:50Z 2006 2006 Thesis http://hdl.handle.net/10356/3340 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Tandi Wijaya. Optimization techniques and benchmarks of the finite impulse response (FIR) filters on the blackfin processor |
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Digital Signal Processing (DSP) algorithms, which are commonly used in any customer electronics devices such as handheld devices, have evolved to a more and more complex algorithm. However, some of the basic algorithm kernel, such as the FIR filter, can be found in many DSP based application. Thus, our work emphasizes on the optimization techniques to reduce the execution time of the Finite Impulse Response filter. Our optimization techniques are carried both in C program and in assembly program. |
author2 |
Gan, Woon Seng |
author_facet |
Gan, Woon Seng Tandi Wijaya. |
format |
Theses and Dissertations |
author |
Tandi Wijaya. |
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Tandi Wijaya. |
title |
Optimization techniques and benchmarks of the finite impulse response (FIR) filters on the blackfin processor |
title_short |
Optimization techniques and benchmarks of the finite impulse response (FIR) filters on the blackfin processor |
title_full |
Optimization techniques and benchmarks of the finite impulse response (FIR) filters on the blackfin processor |
title_fullStr |
Optimization techniques and benchmarks of the finite impulse response (FIR) filters on the blackfin processor |
title_full_unstemmed |
Optimization techniques and benchmarks of the finite impulse response (FIR) filters on the blackfin processor |
title_sort |
optimization techniques and benchmarks of the finite impulse response (fir) filters on the blackfin processor |
publishDate |
2008 |
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http://hdl.handle.net/10356/3340 |
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1772828395252482048 |