Adaptive Cone-Kernel Time-Frequency Analysis

Richard N. Czerwinski; Douglas L. Jones

doi:10.1109/78.398735

Adaptive Cone-Kernel Time-Frequency Analysis

Richard N. Czerwinski, Douglas L. Jones

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

We present a technique to adaptively optimize the perfor- mance of the cone-kernel distribution (CKD) by varying the cone length in response to changing signal properties. The result is an adaptive CKD that preserves the outer hull of signal time support, yields excellent results on real signals, outperforms fixed-length CKD's and requires only slightly more computation than a fixed-kernel distribution.

Original language	English (US)
Pages (from-to)	1715-1719
Number of pages	5
Journal	IEEE Transactions on Signal Processing
Volume	43
Issue number	7
DOIs	https://doi.org/10.1109/78.398735
State	Published - Jul 1995

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

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10.1109/78.398735

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title = "Adaptive Cone-Kernel Time-Frequency Analysis",

abstract = "We present a technique to adaptively optimize the perfor- mance of the cone-kernel distribution (CKD) by varying the cone length in response to changing signal properties. The result is an adaptive CKD that preserves the outer hull of signal time support, yields excellent results on real signals, outperforms fixed-length CKD's and requires only slightly more computation than a fixed-kernel distribution.",

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N2 - We present a technique to adaptively optimize the perfor- mance of the cone-kernel distribution (CKD) by varying the cone length in response to changing signal properties. The result is an adaptive CKD that preserves the outer hull of signal time support, yields excellent results on real signals, outperforms fixed-length CKD's and requires only slightly more computation than a fixed-kernel distribution.

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Adaptive Cone-Kernel Time-Frequency Analysis

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