30 results about "Coordinate descent method" patented technology

The invention relates to a turbulence-degraded image blind restoration method based on dark channel and Alternating Direction Method of Multipliers. The method includes the following steps: firstly on the basis of the multiple dimension theory, in each dimension, applying dark channel prior constraint on an image, applying sparse constraint and energy constrain on a point spread function, then using the coordinate descent method and conducting alternating iteration to estimate a fuzzy kernel and the image in current dimension, if the dimensions arrive at the maximum thereof, a final estimated fuzzy kernel is obtained, finally, in combination with a total variation model, using a derivative Alternating Direction Method of Multipliers to make details of the image restored quickly. According to the invention, the method, by using the dark channel prior information of a clear image as a constraint item, can help a cost function to converge to a clear solution in the iteration process, addresses the susceptibility of obtaining a fuzzy solution by using tapered prior information under the Maximum posterior probability in current blind restoration algorithm, such that the method herein can restore more image details, has less ring effect, and effectively increases restoring quality.

The invention discloses a distributed sparse optimization detection method of water regime information, which combines sparse optimization with distributed water regime information monitoring, and on the basis of providing a theoretical framework for distributed water regime information sparse optimization, on the one hand proposes a water The distributed sparse optimization detection method of situational information expands the new application of sparse optimization in distributed networks; on the other hand, based on the distributed block coordinate descent method, a joint sparse signal reconstruction method is given. Simulation experiments show that the proposed method can quickly converge to an approximate optimal solution, and it is robust to calculation errors caused by inaccurate averaging and uncertain factors in the network.

The invention provides a signal intensity prediction method and system based on wireless propagation model correction. The method includes the following steps: inputting the preset base station data to a preset wireless propagation model and building a least square model; solving the least square model through a coordinate descent method and obtaining an optimal correction coefficient; and adjusting the parameters of the wireless propagation model according to the optimal correction efficient and conducting wireless signal intensity prediction according to the wireless propagation model whose parameters are adjusted. The signal intensity prediction method and system based on the wireless propagation model correction can rapidly realize wireless model coefficient correction and accurately predicts the intensity of wireless signals.

The invention discloses an improved simulated annealing Rayleigh wave inversion method based on differential evolution and block coordinate descent. The method firstly constructs the inversion objective function, and then uses the differential evolution algorithm to optimize the parameter model of the inversion objective function to obtain After the optimal individual, the block coordinate descent algorithm is used to perform simulated annealing on each individual, and the obtained new individual is used as the individual of the next generation population. The present invention constructs the inversion objective function, uses the differential evolution algorithm to optimize the inversion objective function, and uses the block coordinate descent method to divide the multi-parameter problem into multiple single-parameter local iterative optimization problems, which can effectively improve the performance of simulated annealing inversion. Accuracy, to achieve the controllability of simulated annealing to the accuracy, thereby improving the stability of simulated annealing, and can be applied to the inversion of actual shallow exploration seismic data to improve the prediction accuracy of near-surface subsurface structures.

The invention discloses a method for reconstructing an original signal only through dispersed fractional order Fourier transform phase information and belongs to the technical field of signal processing. The method comprises the steps of converting a signal reconstructing problem into a convex optimization problem; performing dispersed fractional order Fourier transform on the original signal, and changing a transform matrix of the dispersed fractional order Fourier transform to obtain different pieces of phase information; storing or transmitting the obtained phase information; recovering the original signal through proper pieces of phase information by means of an amplitude recovery algorithm combining a coordinate descent method and an inner point method, namely, reconstructing the original signal. According to the method, the purpose of reconstructing the original signal with fewer pieces of phase information is achieved by means of the theoretical foundation that the phase information includes larger amount of information than amplitude information under the same number.