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2 results about "Affine projection" patented technology

Deviation compensation affine projection adaptive filter based on logic distance criterion

ActiveCN121864059AAdaptive networkComputational logicAffine projection
The invention relates to the technical field of adaptive filtering, and discloses a deviation compensation affine projection adaptive filter based on a logic distance criterion, which comprises the following steps: respectively constructing an expected signal vector, a noisy input signal vector and matrix and an adaptive weight vector according to an expected signal sampling value, a noisy input signal sampling value and an adaptive weight; according to the estimation error signal, obtaining an anti-pulse error square median value, calculating an error signal variance estimation value, and calculating an input noise variance estimation value by combining a noisy input signal vector and an adaptive weight vector variance power estimation value; calculating a derivative and a second derivative of the logic distance function according to the estimated error signal vector; and calculating a deviation compensation matrix by using a vector formed by the second derivative of the logic distance function, the intermediate matrix and the diagonal line of the intermediate matrix, a deviation compensation vector and an input noise variance estimated value, and updating an adaptive weight to realize adaptive filtering of a to-be-estimated system output signal.
Owner:SUZHOU UNIV

Deviation compensated affine projection adaptive filter based on a logical distance criterion

ActiveCN121864059BAdaptive networkComputational logicAffine projection
The application relates to the technical field of adaptive filtering, and discloses a deviation compensation affine projection adaptive filter based on a logical distance criterion, wherein a desired signal vector, a noisy input signal vector and a matrix, and an adaptive weight vector are respectively constructed according to a desired signal sample value, a noisy input signal sample value and an adaptive weight value; an anti-impulse error square median is obtained according to an estimated error signal, an error signal variance estimation value is calculated, and an input noise variance estimation value is calculated in combination with a noisy input signal vector and an adaptive weight vector variance power estimation value; a derivative and a second derivative of a logical distance function are calculated according to an estimated error signal vector; a deviation compensation matrix is calculated by using the second derivative of the logical distance function, an intermediate matrix, a vector formed by a diagonal line of the intermediate matrix, a deviation compensation vector and the input noise variance estimation value, the adaptive weight value is updated, and adaptive filtering of a system output signal to be estimated is realized.
Owner:SUZHOU UNIV