wavelet-signalprocess

说明：  用MATLAB实现的压缩传感，外文资料，里面含有部分源代码，用MATLAB可以仿真(Compressed sensing using MATLAB implementation, foreign language data, which contains part of the source code can be simulated using MATLAB)

用matlab语言的ssi法随机子空间法的编程，效果不错(Matlab programming language using stochastic subspace ssi Act law, good results)

说明：  自适应共振理论网络 用来进行模式分类联想记忆效果很好，误差率极低，能正确识别(Adaptive Resonance Theory networks used for pattern classification associative memory with good results, the error rate is very low, able to correctly identify)

很实用的一个OFDM仿真程序，OFDM采用BPSK、QPSK、16QAM、64QAM4种调制方式。按照星座图，将每个子信道上的数据，映射到星座图点的复数表示，转换为同相Ich和正交分量Qch。(A very practical OFDM simulation program, OFDM the BPSK, QPSK, 16 qam, 64 qam4 kind of modulation method. According to the constellation diagram, each will be the data on the channel, the plural of constellation is mapped to a point, said into in-phase Ich and quadrature Qch. )

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)

比例公平调度算法的matlab算法，可能有不完善的地方，仅供参考(Proportional fair scheduling algorithm)

matlab图像的基本操作，非常好的基础知识，都是图像的操作函数(matlab basic operation of the image, very good basic knowledge of image manipulation functions are)

Pink noise generated in matlab

GPU Code in Matlab

这是一个半光滑牛顿法解决图像复原问题的MATLAB算法(semi-smooth newton method for image restoration)