matlab

基于SIMULINK开发的分数阶控制器，同时带有ITAE评价标准部分(design of fractional order controller based on SIMULINK,the model contains the part of evaluation criteria with ITAE)

matlab程序，读取txt文件中的波形数据，并画图显示。(matlab program, read the txt file in the waveform data, and drawing show.)

communication code ldpc

基于PCA的人脸识别技术代码，与其他技术比较起来有很大的优点(PCA-based face recognition code, and other technologies have great advantages compared to)

about filter bank non-uniform

I have tried my hand at drawing up a simulink block set *VERY BASIC* of jpec2000 compression.(I have tried my hand at drawing up a simulink block set*VERY BASIC* of jpec2000 compression.)

针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度􀀂 􀀂 􀀂 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率。(Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm. The method takes into account the image pixel the gray 􀀂 􀀂 􀀂 neighborhood average gray value as a threshold for image segmentation chaotic transport Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search Time and improve the convergence rate.)

C++ application for beginers

MATLAB实现振动信号预处理：最小二乘法消除多项式趋势项和五点滑动平均法平滑处理(MATLAB realize vibration signal preprocessing: least squares polynomial trend items and eliminate a five-point moving average smoothing)

正弦值查找表是用matlab代码写的，根据量化地址来查找实际地址的正弦值(Sine value lookup table is written in matlab code, according to quantify the address to find the actual address of the sine value)