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    • 8. 发明授权
    • Method and device for noise reduction control using microphone array
    • 使用麦克风阵列进行降噪控制的方法和装置
    • US08942976B2
    • 2015-01-27
    • US13499948
    • 2010-12-15
    • Bo LiShasha LouSong Li
    • Bo LiShasha LouSong Li
    • G10L21/00G10L21/0208G10L21/0216
    • G10L21/0208G10L2021/02166
    • The present invention provides a noise reduction control method using a microphone array and a noise reduction control device using a microphone array wherein the method comprises the steps of: S1: collecting, by the microphone array, acoustic signals; S2: estimating incidence angles of all acoustic signals of the microphone array; S3: conducting a statistics on signal components according to incidence angles; S4: determining a parameter α from a ratio of noise components according to the statistical result and using the parameter α as a control parameter for controlling an adaptive filter. With the present invention, space position information of the sound is obtained directly with the microphone array to control update of the adaptive filter more accurately, so as to eliminate noise, enhance SNR and protect speech quality well at the same time.
    • 本发明提供使用麦克风阵列的降噪控制方法和使用麦克风阵列的降噪控制装置,其中该方法包括以下步骤:S1:由麦克风阵列收集声信号; S2:估计麦克风阵列的所有声学信号的入射角; S3:根据入射角进行信号分量统计; S4:根据统计结果根据噪声分量的比率确定参数α,并使用参数α作为控制自适应滤波器的控制参数。 利用本发明,通过麦克风阵列直接获得声音的空间位置信息,以更精确地控制自适应滤波器的更新,从而同时消除噪声,提高SNR并保护语音质量。
    • 9. 发明申请
    • Panchromatic Sharpening Method of Spectral Image Based on Fusion of Overall Structural Information and Spatial Detail Information
    • 基于整体结构信息和空间细节信息融合的光谱图像全色锐化方法
    • US20140301659A1
    • 2014-10-09
    • US14082948
    • 2013-11-18
    • Bo LIQizhi XUYue TIANFeng GAOChen ZHONG
    • Bo LIQizhi XUYue TIANFeng GAOChen ZHONG
    • G06T5/00
    • G06T5/50G06T5/004G06T2207/10024G06T2207/20221
    • The present invention provides a panchromatic sharpening method of spectral image based on fusion of overall structural information and spatial detail information, comprising: performing brightness linear stretching on a panchromatic image, so as to set the variance of the panchromatic image to be equal to the variance of said spectral image; respectively interpolating N components of the spectral image so as to generate an interpolation image series having the same resolution as that of the panchromatic image; subtracting the interpolation image series from the panchromatic image after said linear stretching to obtain difference images; performing Gauss filtering on the difference images, thereby obtaining difference tendency images; and, respectively subtracting the difference tendency image series from the panchromatic image after said linear stretching, thus obtaining fused images. The method can maintain both spectral fidelity and texture detail fidelity of the fused images, support high computation speed, and has wide applicability.
    • 本发明提供了一种基于整体结构信息和空间细节信息的融合的光谱图像的全色锐化方法,包括:在全色图像上执行亮度线性拉伸,以将全色图像的方差设置为等于方差 的所述光谱图像; 分别内插所述光谱图像的N个分量,以产生具有与全色图像相同分辨率的内插图像序列; 在所述线性拉伸之后从全色图像中减去插值图像序列以获得差分图像; 对差分图像执行高斯滤波,从而获得差异趋势图像; 并且在所述线性拉伸之后分别从全色图像中减去差异趋势图像序列,从而获得融合图像。 该方法可以保持融合图像的光谱保真度和纹理细节保真度,支持高计算速度,具有广泛的适用性。