aima

经验模式分解程序（简称EMD），在某些情况下比WAVELET TRANSFORM 和STFT分析效果要好，就是计算很费时间！(Empirical Mode Decomposition (EMD), In some cases than WAVELET TRANSFORM STFT analysis and better results. Computing is a great time!)

toeplitz方程的求解算法，反卷积中所使用。x*h=y, 已经h,y,求x。(Equation toeplitz algorithm used in the deconvolution. x* h = y, has h, y, need to solve x)

这是一个基于2发2收，STBC的MIMO仿真模型，在该模型中，可以看到MIMO从数据生成到数据调制最后到解码的整个过程(This is a 2 on the 2 admission, STBC MIMO model, the model, MIMO can see from the data generated to the final data modulation of the whole process of decoding)

对FMCW CSAR成像中存在的多普勒偏移校正的程序，自己编的，能够有效校正。(Presence of FMCW SAR imaging Doppler offset correction program, own, and can be effectively corrected)

说明：  DEGWO是一个优化算法，他是GWO和DE 的一个结合，可以使得连个单独的算法优势互补，更好的优化参数。(DEGWO is an optimization algorithm. It is a combination of GWO and DE, which can make even a single algorithm complementary to each other and optimize parameters better.)

Bee colony optimization continuous

contrast adjusment Contrast is the difference in luminance or color that makes an object (or its representation in an image or display) distinguishable. In visual perception of the real world, contrast is determined by the difference in the color and brightness of the object and other objects within the same field of view. Because the human visual system is more sensitive to contrast than absolute luminance, we can perceive the world similarly regardless of the huge changes in illumination over the day or place to place. The maximum contrast of an image is the contrast ratio or dynamic range

GMM-GMR的matlab实现，高斯混合模型-高斯混合回归的matlab实现。(Implementation of GMM-GMR by MATLAB)

说明：  K均值作为图像分割的经典算法，新手必学算法。利用K均值进行图像分割，关于分类个数可以进行人为设定。(As a classical algorithm for image segmentation, k-means is a must-learn algorithm for beginners. The k-means is used for image segmentation, and the number of classification can be set artificially.)

说明：  利用matlab编写的小波分解分频和除躁程序，分为高低频率，并除去噪声，达到较好的效果。(Prepared using matlab wavelet decomposition impatient frequency and in addition to procedures, divided into high and low frequency, and to remove noise, to achieve good results.)