Optimal deconvolution filter design based on orthogonal principle

@article{Chen1991OptimalDF,
  title={Optimal deconvolution filter design based on orthogonal principle},
  author={Bor-Sen Chen and Sen-Chueh Peng},
  journal={Signal Processing},
  year={1991},
  volume={25},
  pages={361-372}
}
An optimal deconvolution filter design approach is introduced for multi-channel systems under colored noise. Unlike the use of classical variational calculus techniques, some algebraic methods like outer-inner factorization and orthogonal principle will be utilized to solve the proposed deconvolution problem. Then an optimal deconvolution filter with least order is obtained. It can be applied to both minimum-phase and nonminimum-phase systems. The design procedure is relatively simple and makes… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
Showing 1-10 of 10 references

Optimal deconvolution based on polynomial methods

IEEE Trans. Acoustics, Speech, and Signal Processing • 1989
View 4 Excerpts
Highly Influenced

Solution of the H∞ optimal linear filtering problem for discrete-time systems

IEEE Trans. Acoustics, Speech, and Signal Processing • 1990
View 3 Excerpts

Mendel, "Performance of minimum-variance deconvolution filter

J.M.C.Y. Chi
IEEE Trans. Acoust. Speech Signal Process., Vol. ASSP-32, • 1984
View 1 Excerpt

Optimal Seismic Deconvolution. An Estimation-based Approach

J. M. Mendel
1983
View 1 Excerpt

Deconvolution of Geophysical Time Series in the Exploration for Oil and Natural Gas

M. T. Silvia, E. A. Robinson
1979
View 3 Excerpts

Least-squares inverse filter and wavelet inverse

A. B. Berkhout
Geophysics, Vol • 1977
View 1 Excerpt

White-noise estimators for seismic data processing in oil exploration

J. M. Mendel
IEEE Trans. Automat. Control, • 1977
View 1 Excerpt

The Kalman filter for equalization of a digital communication channel

R. E. Lawrence, H. Kaufman
IEEE Trans. Comm., Vol. COM-19, • 1971
View 1 Excerpt

Optimization by Vector Space Methods, Wiley

D. G. Luenberger
New York, • 1969
View 1 Excerpt

Similar Papers

Loading similar papers…