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High-quality image denoising is required for many image processing applications. Our work concentrates on portraying a fast noise process method using PCA referring to weaked textured image patches, with patches generated from the noisy image corrupted by zero-mean Gaussian noise. The main contribution lies in the selection of specified blocks. We adopt a new measurement according to the gradients...
Cloud is a common element of the sky and plays an important role in outside scene modeling. In this paper, a novel cloud surface shape estimation method from an image is proposed based on Shape from Shading(SFS). Shape from shading(SFS) algorithm is inherently ill-posed for the one image, which means that no shape or more shapes may synthetic the same input image. To estimate the cloud surface shape...
With the popularity of mobile terminal equipment, voice communication is becoming more and more frequent, the application of speech recognition scene is increasing. All these put forward higher requirements on the accuracy of speech recognition, therefore, how to enhance the speech as effectively as possible is becoming more and more important. At present, a lot of research has been done on the preprocessing...
This paper proposes an improved cognitive radio system based on Wireless Statistic Division Multiplexing (WSDM) which is the modified version of the new-style cognitive radio system proposed by Li. The maximal user number is limited by the antenna number at receiver in Li's system. In this paper, we relax this limitation in multiplexing subsystem and propose a modified minimum description length (MDL)...
Sound localization refers to a listener's ability to identify the location or origin of a detected sound in direction and distance. The traditional method of sound localization is aimed at the problem of three-dimensional localization, which requires an array of four or more microphones. Specialized research on two-dimensional sound localization is few. Although microphone arrays are also able to...
Based on Khatri-Rao subspace, a novel direction of arrival (DOA) estimation method for wideband uncorrelated signals is proposed in the presence of unknown mutual coupling. The effect of mutual coupling at each frequency bin can be compensated by setting several auxiliary array elements on each side of the original array and the DOAs can be accurately estimated by applying the technique of Khatri-Rao...
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