Kernel adaptive filter

About: Kernel adaptive filter is a research topic. Over the lifetime, 8771 publications have been published within this topic receiving 142711 citations.

Partitioned frequency domain adaptive filters

Abstract: Convergence characteristics of adaptive filters are influenad b y the statistical properties (correlation) of the input signal. In order t o remove this dependency, decordation can be applied which can be performed in fmquency domain by simple power normalisation of each sepamte frequency bin. This leads to the Frequency Domain Adaptive Filter (FDAF), in which the length of the transformation between timeand frequency-domain is choosen to be equal to the length N of the adaptive filter. However the relevant length Of this transformation is determined by the stotieticol properties of the input signal and needs not to be equal to N . By applying different partitioning schemes to the FDAFstructure it is shown that it is possible to decouple the length of the transformation and the length N of the adaptivejlter. -

Method and apparatus for controlling coefficients of adaptive filter

Abstract: A method or apparatus for controlling coefficients of an adaptive filter (3) for identifying unknown system or predicting periodic signals by correcting coefficients of the adaptive filter (3) in such a manner that the difference signal obtained by subtracting an output signal of the adaptive filter (3) from a mixed signal of the output signal from the unknown system and an interference signal comprises steps or means (9) for obtaining the information relating to the magnitude of the coefficients or output of the adaptive filter, and adaptively varying the amount of correction in coefficients of the adaptive filter in response to the obtained information

Nonhomogeneity detection method and apparatus for improved adaptive signal processing

Abstract: Apparatus and method for improving detection of targets in a radar system that employs adaptive filtering. A nonhomogeneity detector eliminates nonhomogeneous signals from the population of signals received. An adaptive filter weight controller estimates covariance matrices from only homogenous signals. Thus the apparatus and method improves the probability of detecting the presence or absence of a target at the same time that it decreases the probability of a false alarm by improving the performance of an adaptive filter. Though developed for airborne radar, the apparatus and method may be applied to the processing of any image.

MACH filter synthesizing for detecting targets in cluttered environment for grayscale optical correlator

Abstract: We have recently demonstrated a compact, high speed, gray- scale optical correlator for target detection. The capability of the direct gray-scale scene input and the gray-scale (real- valued) filter modulation enables us to implement a near- theoretical optimal filter on the optical correlator. This paper describes filter synthesizing algorithm for detecting targets in cluttered background input scene and the projection from the complex filter version to the real version for implementation on the gray-scale optical correlator. It is based on optimal-tradeoff MACH filter. It was found that using an appropriate simulated noise image to substitute the commonly used white noise in the filter design procedure is a very effective way to suppress clutter noise while maintain high tolerance for distortion. Both simulation and experimental results are provided.