00526702

this is the matlab ebook for digital signals and signal processing.......

汉森的金融程序广义t分布（matlab程序）(Hansen s matlab code for finance )

本文介绍了一个用MATLAB语言编写的通信仿真教学软件。论述了通信的基础理论和通信仿真教学软件的设计思想以及实现的方法，并谈到了计算机辅助教学的必要性。(This article describes a use of MATLAB language teaching software for communications simulation. Discusses the basic theory of communication and communication simulation teaching software design idea and the realization of the method, and spoke of the need for computer-aided teaching.)

说明：  偶图最大匹配完全照算法说明利用集合运算实现的matlab代码。这里需要大家讨论的是增广路的选取的算法，希望朋友们多多讨论，争取找一种更好的增广路方法，有想法的一定告诉我，谢谢，jxrhhu@hhu.edu.cn(Bipartite graph maximum matching algorithm description completely according to the use of computing to achieve a collection of matlab code. Here we need to discuss is the way to broaden the selection of the algorithm, a lot of friends who wish to discussions in order to find a better way to broaden the way, there is a certain mind to tell me, thank you, jxrhhu@hhu.edu.cn)

制造向量机人工鱼Manufacture of artificial fish vector machine(Manufacture of artificial fish vector machine)

this file content simple example about modulation bit stream.the type of modulation is (FSK,PSK and ask) after modulation data send and received after that show the relationship between signal to noise ratio (snr) and the bit error rate (ber).....

high pass filter with FIR for education

基于wilson 的matlab分析循环(wilson matlab)

时间序列分析，AR模型，用于流数据预测与滤波 输入参数：y为原始数据矩阵，p为AR模型的阶数，la为自回归模型的遗忘系数 输出参数：预测值，置信区间，离群点等(Time series analysis, AR model for prediction and filtering data stream input parameters: y original data matrix, p is the order of the AR model, la self-forgetting coefficient regression model output parameters: predictive value, confidence intervals, outlier points)

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)