ANN

说明：  OFDM通信系统中的交织编码、解码程序，使用matlab语言(Interleaving OFDM communication system encoding and decoding procedures, the use of matlab language)

模拟时钟30秒，非常漂亮的界面，实时读取准确时间(Analog clock for 30 seconds, a very beautiful interface, real-time read accuracy)

Matlab Sample Codes Implementation

在一定的约束条件下，其输出与一给定函数（通常称为期望输出）的差的平方达到最小，通过数学运算最终可变为一个托布利兹方程的求解问题。维纳滤波器又被称为最小二乘滤波器或最小平方滤波器，目前是基本的滤波方法之一。维纳滤波是利用平稳随机过程的相关特性和频谱特性对混有噪声的信号进行滤波的方法，1942年美国科学家N.维纳为解决对空射击的控制问题所建立，是40年代在线性滤波理论方面所取得的最重要的成果。(Under some constraint conditions, the output with a given function (often referred to as expected output) the square of the difference between the minimum, through mathematical operation can be turned into a final taub Leeds equation to solve the problem.Wiener filter is also known as least squares filter or least square filter, is now one of the basic filter method.Wiener filtering is to use the related characteristics of stationary random process and spectrum characteristics of mixed with noise signal filtering method, scientists in the United States in 1942 n. wiener established to solve the control problem of empty shooting, is 40 s in the theory of linear filtering is the most important results.)

利用MATLAB对SM4算法电路进行差分功耗分析攻击进行仿真，通过仿真可以实现对SM4加密算法的攻击。(it s the differential power analysis attack simulation for SM4 algorithm,which is realized in MATLAB language. From the simulation waves and results,the DPA for SM4 encryption algorithm is successful.)

shape context matlab 实现(shape context matlab code)

learn matlab in easy way

采用lms均衡的ofdm仿真程序，希望对大家有用(Balanced by lms ofdm simulation program, we hope to be useful)

本程序为一种基于凸优化的OFDM信道估计算法，平滑SLO算法是求解稀疏线性方程组的一种迭代解法，本程序将其应用于OFDM信道估计，取得了较好的信号估计精度以及速度(This procedure is a convex optimization of OFDM-based channel estimation algorithm, smoothing algorithm SLO is sparse system of linear equations to solve an iterative method, the procedure will be applied to OFDM channel estimation, the signal to obtain a better estimation accuracy and speed)

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)