1-Smooth-affine-shear-

deFuzzy matlab code

广义互相关测信号时延的matlab代码，The generalized cross correlation of GCC signal time delay(The generalized cross correlation of GCC signal time delay)

介绍独立分量分析的很经典的一本书，芬兰人写的，全英文原版，高清！(Introduce independent component analysis classic book, Finns writing English original, high-definition!)

说明：  基于小波变换的阈值去噪，对含噪声图像进行阈值去噪(Threshold based on wavelet transform denoising of images with noise threshold denoising)

静态背景下的高精度视频目标是实时检测与轮廓提取，matlab源代码实现。 (High-precision static background video object detection and contour extraction in real time, matlab source code.)

接收部分从信道接收信号。经基带滤波、短码解扩、沃尔什解调、解扰、去交织和维持比译码，输出解调后的信号。各通信模块和发射机的相关模块设计类似。(Receiving part receives signals from the channel. The baseband filtering, short code solution extender, Walsh demodulation, cross talk, go to interweave and solution than decoding, maintain the output signal after demodulation. Various communication module and the related module design similar transmitter. )

三角网格表面测地线的计算，matlab源码(Geodesic triangular surface grid computing, matlab source)

用matlab处理的人脸识别，基于pca算法(Matlab deal with face recognition based on pca algorithm)

说明：  GAPSO算法是一种先进的遗传粒子群算法，广泛应用于电力系统的低频振荡的控制研究。中。(无)

we present an improved fuzzy C-means (FCM) algorithm for image segmentation by introducing a tradeoff weighted fuzzy factor and a kernel metric. The tradeoff weighted fuzzy factor depends on the space distance of all neighboring pixels and their gray-level difference simultaneously. By using this factor, the new algorithm can accurately estimate the damping extent of neighboring pixels. In order to further enhance its robustness to noise and outliers, we introduce a kernel distance measure to its objective function. The new algorithm adaptively determines the kernel parameter by using a fast bandwidth selection rule based on the distance variance of all data points in the collection. Furthermore, the tradeoff weighted fuzzy factor and the kernel distance measure are both parameter free. Experimental results on synthetic and real images show that the new algorithm is effective and efficient, and is relatively independent of this type of noise.