ENHANCED RATIONAL SIGNAL MODELING

被引：4

作者：

CADZOW, JA

WILKES, DM

机构：

[1] Department of Electrical Engineering, Vanderbilt University, Nashville

来源：

SIGNAL PROCESSING | 1991年 / 25卷 / 02期

关键词：

SINGULAR VALUE DECOMPOSITION; TOEPLITZ-HANKEL DATA MATRIX; SIGNAL ENHANCEMENT; SIGNAL PROPERTIES; PARAMETER ESTIMATION; FREQUENCY ESTIMATION; DECIMATION;

D O I：

10.1016/0165-1684(91)90061-M

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 various signal processing applications involving theoretical or empirical considerations, it is desired to appropriately modify a given data set so that the modified data set possesses prescribed properties. These properties are usually chosen so as to identify information signals believed to be contained within the data. The modification of the data then serves as a cleansing process whereby corrupting noise, measurement distortion or theoretical mismatch is removed. In this paper, a recently developed signal enhancement algorithm is described which achieves this objective. Particular attention is directed towards properties that are describable using a singular value decomposition (SVD) of a data generated matrix. Examples are given demonstrating a significant improvement in the performance of subspace-based frequency estimation techniques.

引用

页码：171 / 188

页数：18

共 21 条

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