Mobile-robot-tracking-of-pre-planned-paths-

人脸识别匹配的源代码，并配有部分人脸照片，欢迎下载学习(The source code of Face recognition , with some face photos, welcome to learn.)

认知无线电技术是当前缓解频谱资源紧张的有效解决方案，频谱感知是认知无线电的关键技术，其中，能量检测是经典的频谱感知算法，对于研究频谱感知的初学者来说比较重要。(Cognitive radio technology is an effective solution to alleviate the tension of spectrum resources. Spectrum sensing is the key technology of cognitive radio. Among them, energy detection is a classical spectrum sensing algorithm, which is important for the study of spectrum-aware beginners.)

采用matlab编写的药物相关性分析程序。 相关性分析的算法写得不好，主要供学习matlab界面编写、参数传递的朋友参考(using Matlab prepared by the analysis of drug-related procedures. Correlation analysis of the algorithm is not well written, mainly for the preparation of learning Matlab interface and parameter passing reference to a friend)

说明：  求解线性代数中矩阵的行列式、秩和行最简形(It is used for computing the detaminate, rank of Matrixs)

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)

用matlab编写的消除周期噪声的程序,附有实验图片.(using Matlab the elimination cycle noise procedures, experiment with pictures.)

基于运动生成模糊图像，并用维娜滤波器去除模糊(Generated based on motion blurred images, and remove the fuzzy filter with Vina)

在Matlab的Simulink仿真环境，使用电导增量法模拟MPPT模型仿真。(Matlab Simulink simulation environment, using simulation the incremental conductance Law analog MPPT model.)

关于跳频信号的时频分析过程，介绍的比较详细(About the frequency hopping signal analysis process, described in more detail)

matlab下的APF仿真 运行稳定有谐波分析(APF matlab simulation run under steady harmonic analysis)