Fast neural networks learning techniques for signal compression

被引：0

作者：

Puchala, Dariusz ^{[1
]}

Yatsymirskyy, Mykhaylo ^{[1
]}

机构：

[1] Tech Univ Lodz, Inst Comp Sci, Fac Tech Phys Comp Sci & Appl Math, PL-90924 Lodz, Poland

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2010年 / 86卷 / 01期

关键词：

neural networks; fast orthogonal transforms; IMAGE COMPRESSION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper the comparative study of two learning techniques of fast artificial neural networks with application to lossy signal compression is presented. The experimental results prove faster convergence and better final results for energy maximization technique. Moreover the artificial neural network approach gives significantly smaller errors of signal reconstruction than transforms with fixed basis functions.

引用

页码：189 / 191

页数：3

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