yangtiaochazhi

语音信号在其他变换域中的分析技术和特性,语音信号的同态处理和倒谱分析,离散余弦变换,小波和小波包变换(Speech signal analysis technologies and features in other transform domain, homomorphic processing voice signals and cepstrum analysis, discrete cosine transform, wavelet and wavelet packet transform)

haar小波分析的类，只有头文件，输入为一个序列的信号，输出为haar小波分解后的各级参数(haar wavelet class)

说明：  基于改进人工蜂群算法的K均值聚类算法-喻金平-郑杰-梅宏标，matlab(K-means clustering algorithm based on improved artificial bee colony algorithm-Yu Jinping-Zheng Jie-Mei Hongbiao, matlab)

可用于解决整数规划方面的问题。用matlab编写的源代码。(integer programming)

不同准则下的阵列信号方向图形成；capon法功率扫描图。(The the array signal pattern formation under different criteria the capon law power scan.)

改代码使用CCE方法来实现数据挖掘中多示例学习的过程。(CCE implements the algorithm described in [1], where Gaussian kernel LibSVM [2] is used as the base learner for transformed feature vectors.)

OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.

This FDTD 1D simulation based on Dennis Sullivan book s. Wave propagation in vacuum background and penetrates Lorentz Medium.

FILTERING OF AN IMAGE USING MASK

C++和matlab混编示例 (Mixed C++ and matlab examples)