scaleForSVM

这是一个非常好的关于OFDM的英文文章，它是国外的博士论文，对于想了解整个OFDM的朋友来说，可以了解到许多中文文章所没有的知识。(This is a very good article in English on OFDM, which is the doctoral thesis abroad, who want to understand the overall OFDM' s friends, you can understand that many Chinese do not have knowledge of the article.)

雷达系统建模仿真书上所有例子的源程序，十分详细，备有注释(Radar system modeling and simulation all the examples of the source book is very detailed, with notes)

施密特正交化过程，根据文献中的方法进行matlab编程实现(Schmidt orthogonalization process)

说明：  TASI法相机标定，实现一阶径变系数和焦距F的求解。误差为5个像素(TASI camera calibration method to achieve first-order path coefficient and focal length F of the Solution. Error of 5 pixels)

基于Informax判据的ICA算法，属于独立分量分析的一种。(Informax the ICA-based criterion algorithm, belonging to an independent component analysis. )

计算不同大小球形粒子集合的散射,粒子大小分布在fd.m文件中更改(calculation of scattering by sphere particles which has different sizes discribed by a distribution function)

经典的瑞利衰落信道仿真模型-jakes模型。程序可以修改不同的入射路径个数。仿真结果是不同入射路径个数的jakes模型和同分布的瑞利衰落的包络分布对比。直接运行“tu.m”(The classic Rayleigh fading channel simulation model-jakes model. Program can modify the number of incident path. The simulation results compare jakes model of different incident paths with distribution of Rayleigh fading.)

This is a Hybrid PSO GSA Aigorithm.A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.

公用函数，MUSIC算法的各种公用函数，包括精度和误差矩阵等(error_matrix,JingDu search_doa shiyan)

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)