Genetic-Programming-2012

介绍了MIMO-OFDM系统检测的一种改进的算法--球形解码算法.具体包括:VB球形,CL球形解码算法和改进的算法(KCL和CL-MMSE算法).能仿真出结果.(MIMO-OFDM Systems introduced an improved detection algorithm- sphere decoding algorithm. Specifically include: VB spherical, CL sphere decoding algorithm and improved algorithm (KCL and CL-MMSE algorithm). To simulation result.)

对供热系统的动态矩阵控制算法，仿真效果比较好。(Heating system for the dynamic matrix control algorithm, simulation results better.)

this is code to transform image from rgb to hsi

厦门大学屈小波老师2014年图像融合新文及matlab代码。(High quality multi-focus image fusion using self-similarity and depth information )

本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码，即压缩后的图像。 (This procedure using singular value decomposition of 3-channel color image compression decomposition, concrete steps are as follows: compression process: 1. Select the sub-image size K value, the image is decomposed into M × M sub-image, IMG (s), s = 1, 2, ..., M2, in which M = N/K, the original image IMG size N × N. 2. M2 calculate the average of sub-image average, for each sub-image minus the new images mean images. 3. Calculation of correlation matrix R, defined as its elements. 4. Calculation of the characteristics of R value and eigenvector calculated each sub-image with the largest eigenvector of the inner product, they will have to code, that is, the compressed images.)

s.f.e编码、huffman编码源程序，运行环境：matlab(S.f.e code, Huffman code source program, running environment: matlab)

this code is used to find autocovariance of two discrete signals

另外一种QUIN插值频率估计算法。matlab代码(QUIN another interpolation algorithm for frequency estimation. matlab code)

Contain a function to delete outliers from a serie. Only need a column vector to start. Can add a alpha parameter to configure the way to delete outliers

针对一组数据的分类方法，在matlab中实现，从中可以观察到数据之间的联系(For a set of data classification method, implemented in matlab can be observed from the data to the link between)