Cp_model

对接收到得信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中比较重要的一种变步长自适应盲源分离算法——EASI(Butt had been received too signal separation is the signal processing is often used, but do not know to accept in full prior knowledge of the signal to separate the case of the so-called blind source separation, this procedure is more emphasis on blind source separation algorithm to compare important type of variable step-size adaptive algorithm for blind source separation- EASI)

说明：  GWO算法模拟了灰狼在自然界中的领导层次和狩猎机制。四种类型的灰狼，如alpha，beta，delta和omega，用于模拟领导层次结构。此外，实施狩猎，搜寻猎物，环绕猎物和攻击猎物的三个主要步骤以执行优化。 压缩包包括：发表的论文、优化算法代码、优化工具箱。(The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented to perform optimization. Compression packages include: published papers, optimization algorithm code, optimization toolbox.)

说明：  对振动加速度信号进行逆傅里叶变换，支持Excel和text读取，希望大家批评指正(The inverse Fourier transform of the vibration acceleration signal supports the reading of Excel and text. I hope you can criticize and correct it)

montecarlo的源程序，希望对大家游泳 (Montecarlo source, in the hope that U.S. Swimming)

the comb pilot aided channel estimation in ofdm modulation is considered. the power of pilot subchannels is under the control. The data experience frequency selective channel then the AWGN noise is added to make the situation worse. The bit error rate is ploted versus SNR.

本程序对OFDM这一调制方式的基本流程进行了仿真，通过高斯白噪声信道，接收信号解调，对比发送和接收信号波形，并画出功率谱密度图形(This program OFDM modulation scheme of this basic flow of the simulation carried out by white Gaussian noise channel, the received signal demodulation, compare sent and received signal waveforms and power spectral density plot graphics)

django book for developing networking applications

用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to delete all current lines, retaining only chip targets)

说明：  非线性整数规划问题，基于遗传算法的matlab程序(Nonlinear integer programming problems, based on genetic algorithm matlab program)

Using Advanced Signal Processing Techniques on Ambient Vibration Records of a Structure