论文信息 - The application of SHARF to adaptive removal of TV ghosting

The application of SHARF to adaptive removal of TV ghosting

In previous papers the authors have developed and characterized SHARF and HARF, algorithms for adaptive IIR digital filters. This paper considers a practical problem in which adaptive IIR filtering can be applied to advantage: the removal of multi-path effects from television video ("ghosting"). The problem is motivated, a solution based on adaptive IIR filtering is developed, and simulation results are presented. Also discussed are several analytical results developed in this inquiry, including the formulation and proof of a complex data and coefficient version of SHARF (and HARF), and a treatment of the effects of additive noise.

Sally L. Wood | C. Richard Johnson | Michael G. Larimore | John R. Treichler

[1] I. Landau. Unbiased recursive identification using model reference adaptive techniques , 1976 .

[2] Junzo Murakami,et al. A Digitalized Automatic Ghost Cancerller , 1979, IEEE Transactions on Consumer Electronics.

[3] B. Widrow,et al. Stationary and nonstationary learning characteristics of the LMS adaptive filter , 1976, Proceedings of the IEEE.

[4] P. Bello. Characterization of Randomly Time-Variant Linear Channels , 1963 .

[5] Charles R. Johnson,et al. A convergence proof for a hyperstable adaptive recursive filter (Corresp.) , 1979, IEEE Trans. Inf. Theory.

[6] John R. Treichler,et al. SHARF: An algorithm for adapting IIR digital filters , 1980 .