1 May 1997 New restoration filter for signals distorted by random impulse response function and noise
Hsien-Sen Hung
Author Affiliations +
A new restoration filter is proposed for the restoration of signals distorted by a random impulse response function and additive measurement noise. The filter is derived from the theory of constrained total least squares, an extension of total least squares to the case where linear constraints with additive random components are incorporated into the measurement model. This enables the incorporation of prior information about the original signal, expressed in the form of linear constraints such as smoothness and region of support. Furthermore, the filter does not require knowledge of the second-order statistics of the random impulse response function and noise. Simulation results are provided to demonstrate the effectiveness of the proposed filter.
Hsien-Sen Hung "New restoration filter for signals distorted by random impulse response function and noise," Optical Engineering 36(5), (1 May 1997). https://doi.org/10.1117/1.601337
Published: 1 May 1997
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Electronic filtering

Interference (communication)

Linear filtering

Dysprosium

Distance measurement

Filtering (signal processing)

Optical engineering

RELATED CONTENT

GPS disciplining CPT atomic clock using Kalman filter
Proceedings of SPIE (November 10 2022)
Cross-spectral measurement of neural signal transfer
Proceedings of SPIE (May 25 2004)
General models for 1/f noise
Proceedings of SPIE (May 12 2003)
Signal Processing Technology Overview
Proceedings of SPIE (July 30 1982)

Back to Top