genetic-algorithm

m序列生成和抽取，Gold码和kasami序列生成，三种序列子相关，互相性能分析等。程序完整，注释清楚，报告详细。(m sequence generation and extraction, Gold codes and kasami sequence generation, all three sub-sequences related to each other performance analysis. Program integrity, comments clear, the report detailed.)

this is individual matlab wsn program

ELECTROMAGNETIC FINITE-DIFFERENCE TIME-DOMAIN VERSION 1.20, RELEASE 1

battery management generator

遗传算法工具包，可利用遗传算法的编程，减少大量工作量。(Genetic algorithm toolkit can be programmed by genetic algorithms to reduce the large workload.)

Face Recognition source code by matlab

杨晓菲信号与系统习题解答 重邮用的黄色封面那本(signal and system)

在频率域实现信号的频移，然后再变换回时间域的信号(In the frequency domain, the frequency shift signal is achieved, and then transformed back into the time domain signal)

各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.m 用自适应特征阈值函数进行去噪 wdenoise.m 用Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪 meanfilter.m 均值滤波方法进行去噪(对比用) medfilter.m 中值滤波方法进行去噪(对比用)(Denoising procedures for various methods Den1.m using semi soft threshold method for image denoising The improved method of den1_5_1.m semi soft threshold for the first layer of the reconstructed image The improved method of den1_9.m semi soft threshold will be changed linear to exponential. The improved method of den1_10.m semi soft threshold for the first layer of the reconstructed image again for wavelet thresholding denoising Den2.m using the soft and hard threshold function to improve the method of denoising Den3.m using generalized threshold function for denoising Den4.m with adaptive feature threshold function for denoising Wdenoise.m with Donoho threshold or Birge-Massart strategy and soft threshold or hard threshold function for denoising Meanfilter.m mean filtering method for denoising (contrast) Medfilter.m median filtering method for denoising (contrast))

一个关于非线性控制理论的课件。可以作为相关课程的教学和学习之用。(A courseware about nonlinear control theory used for course learning and teaching.)