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胡广书著的《现代信号处理教程》一书的例子的源码。都是Matlab程序。(HU Guang-forward to the book " Modern Signal Processing Guide," one example of the source book.)

说明：  升余弦滚降的误码率和信噪比曲线，取样时间无偏差，但信道是多径信道，衰减系数0.5 傅立叶变换及反变换参见t2f-and-f2t(Raised cosine roll-off of the bit error rate and signal to noise ratio curve, sampling time deviation, but the channel is a multipath channel, the attenuation coefficient of 0.5 Fourier Transform and inverse transform see t2f-and-f2t)

最小二乘法、最佳均方逼近、随机拟合及其MATLAB程序(Least square method, the best mean square approximation, random process fitting and MATLAB)

circle fitter using at least 3 ponits

基于saber仿真软件,是对反激变换器仿真设计的。(Flyback converter design saber-based simulation software)

A Tool for Algorithms Development and System Analysis

pso算法在matlab上实现，对毕业设计有用！现在对做这方面工作的学生有一定帮助 (pso算法在matlab上实现 )

自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。 在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。 二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。 BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods. Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs. Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)

This program is DOA estimation by using MUSIC algorithm

利用矩形窗设计I型数字带通滤波器，实现简单，易懂(use a rectangular window design digital band-pass filter)