Simulation

Generating Random Number with Multi-dimensional

802.15.4a 信道程序.为无线通信协议802.15.4a 建模.(802.15.4a Channel procedures. For wireless communication protocol 802.15.4a modeling.)

减摇水舱对船舶参数横摇的抑制，4自由度模型，包括垂荡‘纵摇和水舱状态(The anti rolling tank on the inhibition of Parametric Rolling of ships, model of 4 degrees of freedom, including heave pitching and water tank to state )

fft spectrum audio file

MATLAB里的simulink的dspbuilder设计的图像高斯滤波，可直接运行，并可通过matlab转化到quartus中并下载到FPGA运行(MATLAB simulink in the design of the image of dspbuilder Gaussian filter can be run directly, and transformed by matlab to quartus and downloaded to the FPGA run)

1）了解小波分解与小波包分解概念区别与联系； 2）了解小波包的分解和重构算法积； 3）用matlab编程对信号进行小波包分解及小波能量图的绘制。 (1) to understand the wavelet decomposition and wavelet packet decomposition of differences and relations between concepts 2) to understand the wavelet packet decomposition and reconstruction algorithms of product 3) the signal using matlab programming wavelet packet decomposition and wavelet energy mapping.)

matlab的各种mdl源代码，经典例题(example for matlab)

This is a project for evaluation of the performance of a wireless systems with fading effects

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)

LS（Least Square，最小二乘法）算法是信道估计算法中最基本的算法之一。在MIMO-OFDM系统中，经常选择LS算法或其改进算法对信道进行估计。利用LS算法设计信道估计器，算法结构简单易于实现，且估计器不需要知道信道中各个收发天线对之间的自相关矩阵和噪声。(LS (further Square, Least Square) algorithm is one of the most basic algorithm of channel estimation algorithm. In MIMO- OFDM systems, often choose LS algorithm and its improved algorithm for channel estimation. Use of channel estimator and the LS algorithm design algorithm structure simple and easy to implement, and the estimator does not need to know in the channel between the sending and receiving antenna for autocorrelation matrix and noise. )