pso_image_segmentation

很好的程序，学习的可以看看啊，很不错的啊(Very good program, learning to see, ah, ah very good)

说明：  阵列信号处理，空时抗干扰的HA算法Matlab仿真(Array signal processing, space-time algorithm for Matlab simulation of interference of the HA)

现代信号谱分析 capon 算法MATLAB例程(spectral analysis of signals)

this is audio retrieval based on the feature extraction such as FFT, STFT, and Power Spectral Density

能量收集双向中继的联合功率分配的中继选择算法(relay selection method of energy harvesting two-way relay network)

描述两束光波之间的干涉现象的matlab程序代码(Illustrate the two light beam interference between the matlab code)

matlab实验教程，用于初学者学习matlab相关知识。(Experimental matlab tutorial for beginners to learn matlab relevant knowledge.)

说明：  声音频率的转换声音频率的转换声音频率的转换(Sound frequency conversion)

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)

取x轴Y轴某些点的坐标，用线连起来，包线图(Check point coordinates, even from the envelope )