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本程序实现基于Haralick灰度共生矩阵的区域增长在matlab下实现(Implementation of this program based on Haralick GLCM achieved under the regional growth in matlab)

介绍了一种将Matlab编译成可执行程序的一种方法，它使得Matlab编写的程序能够完全脱离Matlab这个环境来执行，从而大大提高了程序的应用范围和使用价值。(introduces a Matlab compiled executable in a way that allows programs written Matlab can be completely out of the Matlab environment to implementation, thus greatly improving the procedures for the application and usefulness.)

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(Cochlear substantially equivalent to a filter set, cochlear filter is used on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

e-collaboration on Asia Pallet Pool System

原图本来是矩形的，但经过摄相机拍摄后的图片是梯形的，可以用该MATLAB梯形图像校正程序校正回矩形，程序还可更完善些，共同进步

Matlab源码 计算矩阵各列与其他各列的互相关系数，并按照概率分布利用直方图的形式展示出来。 该互相关系数的定义参考Michael Elad的《Sparse and Redundant Representations》p25 Definition2.3(Matlab code for mutual-coherence of a given matrix)

matlab基础学习及应用，适合matlab初学者(matlab foundation)

改进的小波算法，主要对小波二次分解进行了改进(Improved wavelet algorithm, mainly secondary wavelet decomposition is improved)

LMD分解，通过局部均值分解重构信号，实现对信号的降噪效果(LMD the decomposition reconstructed signal by local means, to achieve the effect of noise on the signal)

双目测距MATLAB源代码 6.2350000000e+002 8.0578571429e+002 6.5040740741e+002 8.0574074074e+002 6.7640000000e+002 8.0556000000e+002 7.0150000000e+002 8.0550000000e+002 4.5966666667e+002 8.0612500000e+002 4.8750000000e+002 8.0600000000e+002 5.1496296296e+002 8.0611111111e+002 5.4269230769e+002 8.0596153846e+002 5.9659259259e+002 8.0592592593e+002 7.0150000000e+002 8.3050000000e+002 5.4203448276e+002 8.3158620690e+002 5.6934615385e+002 8.3165384615e+002 5.9611111111e+002 8.3148148148e+002 6.2274074074e+002 8.3140740741e+002 6.5000000000e+002 8.3093103448e+002 6.7609090909e+002 8.3090909091e+002 4.5887500000e+002 8.3204166667e+002 4.8644000000e+002 8.31