Presentation | 1995/11/17 Experimental Implementation and Estimation of DWT Processor Based on Hopfield Linear Programming Neural Network Takeshi KAMIO, Hiroshi NINOMIYA, Hideki ASAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Discrete Walsh transform (DWT) is one of the most important techniques as wen as the discrete Fourier transform (DFT) in the field of signal processing. We have proposed the theoretical design of the DWT processor based on Hopfield linear programming neural networks, and then we have also proved the rapid convergence and high accuracy of DWT processor both analytically and by simulation. In this report, we show the experimental design and the hardware implementation of the neuro-based DWT processor. Finally, it is confirmed both by the experiments and SPICE simulations that our processor is useful and practical. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Neural Network / Discrete Walsh Transform / Steepest Descent Method / Orthogonal Matrix |
Paper # | NLP95-73 |
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Committee | NLP |
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Conference Date | 1995/11/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Experimental Implementation and Estimation of DWT Processor Based on Hopfield Linear Programming Neural Network |
Sub Title (in English) | |
Keyword(1) | Neural Network |
Keyword(2) | Discrete Walsh Transform |
Keyword(3) | Steepest Descent Method |
Keyword(4) | Orthogonal Matrix |
1st Author's Name | Takeshi KAMIO |
1st Author's Affiliation | Department of System Eng., Faculty of Engineering, Shizuoka University() |
2nd Author's Name | Hiroshi NINOMIYA |
2nd Author's Affiliation | Department of System Eng., Faculty of Engineering, Shizuoka University |
3rd Author's Name | Hideki ASAI |
3rd Author's Affiliation | Department of System Eng., Faculty of Engineering, Shizuoka University |
Date | 1995/11/17 |
Paper # | NLP95-73 |
Volume (vol) | vol.95 |
Number (no) | 368 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |