A performance analysis of adaptive line enhancer-augmented spectral detectors

Rickard, John T.; Zeidler, J.R.; Dentino, M.; Shensa, M.

doi:10.1109/tassp.1981.1163599

Cited by 21 publications

(1 citation statement)

References 23 publications

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“…Over the last four decades, adaptive filters have found application in many areas. They have been used in noise cancelation [2][3][4], channel equalization [5][6][7][8], system identification [9][10][11][12][13][14], echo cancelation [15][16][17][18], antenna arrays [19][20][21][22][23], line enhancement [24][25][26][27][28][29], control [30][31][32][33], and many other applications. The reasons for solving the problems with adaptive filters instead of non-adaptive filters could be summarized into four points.…”

Section: Motivationmentioning

confidence: 99%

Performance analysis and enhancements of adaptive algorithms and their applications

Zhao¹

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Adaptive filters that self-adjust their transfer functions according to optimizing algorithms are powerful adaptive systems with numerous applications in the fields of signal processing, communications, radar, sonar, seismology, navigation systems and biomedical engineering. An adaptive signal processing algorithm, e.g., the least mean squares (LMS) algorithm and the recursive least square (RLS) algorithm, is used to deal with adaptation

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Section: Motivationmentioning

confidence: 99%

Performance analysis and enhancements of adaptive algorithms and their applications

Zhao¹

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Time domain amplitude and frequency detection of gravitational waves from coalescing binaries

1997

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We propose a multistep procedure for the on-line detection and analysis of the gravitational wave signals emitted during the coalescence of compact binaries. This procedure, based on a hierarchical strategy, consists of a rough on-line analysis of the gravitational wave signal using adaptive line enhancers filters and a fast off-line parameter estimate, using the controlled random search optimization algorithm. A more refined off-line analysis using the classic matched-filtering technique, with a greatly reduced computational burden, can follow to further improve the parameter estimate. The results of simulations for the rough analysis are quite promising both for the relatively small computational power needed and for the robustness of the algorithms used, so that it could be very helpful for gravitational wave detection with very large baseline interferometric detectors such as LIGO and VIRGO

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Error probabilities for DS spread-spectrum systems using an ALE for narrow-band interference rejection

Bershad

1988

IEEE Trans. Commun.

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A performance analysis of adaptive line enhancer-augmented spectral detectors

Cited by 21 publications

References 23 publications

Performance analysis and enhancements of adaptive algorithms and their applications

Performance analysis and enhancements of adaptive algorithms and their applications

Time domain amplitude and frequency detection of gravitational waves from coalescing binaries

Error probabilities for DS spread-spectrum systems using an ALE for narrow-band interference rejection

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