Quantized, piecewise linear filter network

John Aasted Sørensen

doi:10.1109/NNSP.1993.471841

Quantized, piecewise linear filter network

John Aasted Sørensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

475 Downloads (Pure)

Abstract

A quantization based piecewise linear filter network is defined. A method for the training of this network based on local approximation in the input space is devised. The training is carried out by repeatedly alternating between vector quantization of the training set into quantization classes and equalization of the quantization classes linear filter mean square training errors. The equalization of the mean square training errors is carried out by adapting the boundaries between neighbor quantization classes such that the differences in mean square training errors are reduced

Original language	English
Title of host publication	Proceedings of the IEEE-SP Workshop Neural Networks for Signal Processing
Publisher	IEEE
Publication date	1993
Pages	470-474
ISBN (Print)	07-80-30928-6
DOIs	https://doi.org/10.1109/NNSP.1993.471841
Publication status	Published - 1993
Event	1993 IEEE Workshop on Neural Networks for Signal Processing - , United States Duration: 6 Sept 1993 → 9 Sept 1993 Conference number: 3 https://ieeexplore.ieee.org/xpl/conhome/3312/proceeding

Conference

Conference	1993 IEEE Workshop on Neural Networks for Signal Processing
Number	3
Country/Territory	United States
Period	06/09/1993 → 09/09/1993
Internet address	https://ieeexplore.ieee.org/xpl/conhome/3312/proceeding

Bibliographical note

Copyright 1993 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Access to Document

10.1109/NNSP.1993.471841

AastedFinal published version, 223 KB

OpenUrl availability

Full text

Cite this

@inproceedings{2a54189999d44f2dac6b86dc780f2dfb,

title = "Quantized, piecewise linear filter network",

abstract = "A quantization based piecewise linear filter network is defined. A method for the training of this network based on local approximation in the input space is devised. The training is carried out by repeatedly alternating between vector quantization of the training set into quantization classes and equalization of the quantization classes linear filter mean square training errors. The equalization of the mean square training errors is carried out by adapting the boundaries between neighbor quantization classes such that the differences in mean square training errors are reduced",

author = "S{\o}rensen, {John Aasted}",

note = "Copyright 1993 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.; 1993 IEEE Workshop on Neural Networks for Signal Processing, NNSP 1993 ; Conference date: 06-09-1993 Through 09-09-1993",

year = "1993",

doi = "10.1109/NNSP.1993.471841",

language = "English",

isbn = "07-80-30928-6",

pages = "470--474",

booktitle = "Proceedings of the IEEE-SP Workshop Neural Networks for Signal Processing",

publisher = "IEEE",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/3312/proceeding",

}

TY - GEN

T1 - Quantized, piecewise linear filter network

AU - Sørensen, John Aasted

N1 - Conference code: 3

PY - 1993

Y1 - 1993

N2 - A quantization based piecewise linear filter network is defined. A method for the training of this network based on local approximation in the input space is devised. The training is carried out by repeatedly alternating between vector quantization of the training set into quantization classes and equalization of the quantization classes linear filter mean square training errors. The equalization of the mean square training errors is carried out by adapting the boundaries between neighbor quantization classes such that the differences in mean square training errors are reduced

AB - A quantization based piecewise linear filter network is defined. A method for the training of this network based on local approximation in the input space is devised. The training is carried out by repeatedly alternating between vector quantization of the training set into quantization classes and equalization of the quantization classes linear filter mean square training errors. The equalization of the mean square training errors is carried out by adapting the boundaries between neighbor quantization classes such that the differences in mean square training errors are reduced

U2 - 10.1109/NNSP.1993.471841

DO - 10.1109/NNSP.1993.471841

M3 - Article in proceedings

SN - 07-80-30928-6

SP - 470

EP - 474

BT - Proceedings of the IEEE-SP Workshop Neural Networks for Signal Processing

PB - IEEE

T2 - 1993 IEEE Workshop on Neural Networks for Signal Processing

Y2 - 6 September 1993 through 9 September 1993

ER -

Quantized, piecewise linear filter network

Abstract

Conference

Bibliographical note

Access to Document

OpenUrl availability

Fingerprint

Cite this