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

[31] Image Compression with Artificial Neural Networks
Kouamo, Stephane
Tangha, Claude
INTERNATIONAL JOINT CONFERENCE CISIS'12 - ICEUTE'12 - SOCO'12 SPECIAL SESSIONS, 2013, 189 : 515 - 524
[32] Bayesian Meta-Learning: Toward Fast Adaptation in Neural Network Positioning Techniques
Pu, Qiaolin
Chen, Youkun
Zhou, Mu
Ng, Joseph Kee-Yin
Cai, Rui
IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (08): : 14924 - 14937
[33] Data compression techniques in Wireless Sensor Networks
Sheltami, Tarek
Musaddiq, Muhammad
Shakshuki, Elhadi
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2016, 64 : 151 - 162
[34] Structured neural networks for signal classification
Bruzzone, L
Roli, F
Serpico, SB
SIGNAL PROCESSING, 1998, 64 (03) : 271 - 290
[35] Fast simulation and optimization with neural networks
Biegler-König, F
Deeskow, P
Simulation in Wider Europe, 2005, : 109 - 112
[36] Image Compression and Reconstruction Using pit-Sigma Neural Networks
Eduardo Masato Iyoda
Takushi Shibata
Hajime Nobuhara
Witold Pedrycz
Kaoru Hirota
Soft Computing, 2007, 11 : 53 - 61
[37] Image compression and reconstruction using pit-sigma neural networks
Iyoda, Eduardo Masato
Shibata, Takushi
Nobuhara, Hajime
Pedrycz, Witold
Hirota, Kaoru
SOFT COMPUTING, 2007, 11 (01) : 53 - 61
[38] A fast training algorithm for neural networks
Bilski, J
Rutkowski, L
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING, 1998, 45 (06): : 749 - 753
[39] Neural networks in wireless networks: Techniques, applications and guidelines
Ahad, Nauman
Qadir, Junaid
Ahsan, Nasir
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2016, 68 : 1 - 27
[40] Wavelet transforms and neural networks for compression and recognition
Szu, H
Telfer, B
Garcia, J
NEURAL NETWORKS, 1996, 9 (04) : 695 - 708

← 1 2 3 4 5 →