60 results about "Correlation entropy" patented technology

The invention discloses a fixation point estimation method based on correlation entropy, which comprises the following steps: 1. Face image acquisition; 2. Human eye image sub-pixel extraction; 3. Human eye image feature dimensionality reduction; 4. Gaze point position estimation ; The method of the present invention can accurately estimate the gaze point under different environmental conditions.

The invention discloses a chip performance degradation trend prediction method based on a multi-step robust prediction learning machine, which combines an extreme learning machine and a recurrent neural network, has extremely high information fusion capability and rapid information processing capability, constructs similarity based on correlation entropy by establishing an error code book, establishes real-time prediction model updating according to chip degradation diversity and dynamics, and overcomes the influence of interference on a prediction result. Therefore, compared with the existing method, the method has higher online prediction precision, and the multi-step prediction result is more accurate compared with the existing method.

The invention belongs to the technical field of signal processing, relates to a radio signal carrier frequency estimation method based on a generalized cyclic correlation entropy and is used for solving the problem of estimating radio signal carrier frequency in radio signal monitoring. The method includes: utilizing a known signal to respectively calculate a correlation function of the signal in European space and correlation entropy of the signal in Hilbert space; when the known signal has second-order cyclic stable characteristics, acquiring a composite correlation entropy based on limited European space and Hilberty space; calculating the generalized cyclic correlation entropy of the known signal, establishing a three-dimensional stereogram, and acquiring carrier frequency of an original signal through frequency spectrum peak. By the method, robustness to pulse noise, Gaussian noise and noising mixing the two can be improved, and higher-accuracy radio signal carrier frequency estimation can be realized.

The invention discloses a self-adaptive filtering method and system based on a generalized maximum asymmetric correlation entropy criterion, and the method comprises the steps: 1, carrying out the modeling of an input time sequence signal based on an autoregression model, enabling the input signal to pass through a filter, obtaining an output signal, taking the output signal as a predicted value of the signal at the moment, and carrying out the calculation of the predicted value; obtaining a prediction error of the autoregression model according to the prediction value; 2, according to the prediction error of the autoregression model, constructing an objective function based on a generalized maximum asymmetric correlation entropy criterion, and calculating the loss corresponding to the prediction error; 3, according to the prediction error loss, a gradient descent method is adopted to obtain a filter parameter updating expression, and the filter parameters are updated in real time; 4, the robustness of the adaptive filter under the asymmetric and non-Gaussian noise is analyzed; and 5, carrying out steady-state performance analysis and verification on the adaptive filter. According to the method, the robustness, the performance and the adaptive capacity of the adaptive filter under the non-Gaussian noise can be effectively improved.