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

共 50 条

[1] Fast competitive learning algorithm for image compression neural networks
Jiang, J
ELECTRONICS LETTERS, 1996, 32 (15) : 1380 - 1381
[2] Fast Training of Neural Networks for Image Compression
Bodyanskiy, Yevgeniy
Grimm, Paul
Mashtalir, Sergey
Vinarski, Vladimir
ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS, 2010, 6171 : 165 - +
[3] Convolutional Neural Networks for Enhanced Compression Techniques
Gnacek, Matthew
Heatwole, Cory
Fan, David
Hoffman, Marc
PROCEEDINGS OF THE 2021 IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE (NAECON), 2021, : 392 - 399
[4] Fast Learning Architecture for Neural Networks
Zhang Ming Jun
Garcia, Samuel
Terre, Michel
2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), 2022, : 1611 - 1615
[5] EEG SIGNAL COMPRESSION USING RADIAL BASIS NEURAL NETWORKS
Sriraam, N.
Eswaran, C.
JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, 2004, 4 (02) : 143 - 152
[6] MODIFIED BACKPROPAGATION ALGORITHM FOR FAST LEARNING IN NEURAL NETWORKS
REYNERI, LM
FILIPPI, E
ELECTRONICS LETTERS, 1990, 26 (19) : 1564 - 1566
[7] IMAGE COMPRESSION USING NEURAL NETWORKS
WALKER, NP
EGLEN, SJ
LAWRENCE, BA
GEC JOURNAL OF RESEARCH, 1994, 11 (02): : 66 - 75
[8] Image compression by new sub-image block classification techniques using neural networks
Rahim, NMS
Yahagi, T
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2000, E83A (10) : 2040 - 2043
[9] New pruning techniques for constructive neural networks with application to image compression
Ma, L
Khorasani, K
SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION IX, 2000, 4052 : 298 - 308
[10] Fast learning artificial neural networks for continuous input applications
Evans, DJ
Tay, LP
KYBERNETES, 1995, 24 (03) : 11 - &

← 1 2 3 4 5 →