simpgrad

用于识别目标轨迹的算法，没有解压密码，可以直接使用(trajectory for target identification algorithm, without extracting passwords can be used directly)

该程序对信号进行时域分析，包括求有效值，画时域图形等(The program is the signal time-domain analysis, including seeking the valid values ​ ​ for paintings domain graphics)

这是基于matlab的关于Mel频率倒谱系数（MelFrequencyCepstrumCoefficient，MFCC）的代码，对大家理解有一定帮助。(This is based on the matlab Mel Frequency Cepstral Coefficients (MelFrequencyCepstrumCoefficient, MFCC) code for us to understand some help.)

matlab开发环境下的语音波形的合成与识别，非常有用的一段程序的描述(Description waveform synthesis and voice recognition matlab development environment, very useful for some programs)

一个求取二机五节点的，有功网损最小的潮流计算程序(Minimum cost optimal power flow generator program)

Query By Humming System In Matlab

说明：  《模糊逻辑工具箱新》（Fuzzy Logic Toolbox Add-On），增加了新的公共过程基于模糊控制系统的模糊控制工具箱。 作者: Antonio Javier Barrag("Fuzzy Logic Toolbox new" (Fuzzy Logic Toolbox Add-On), a new public process control system based on fuzzy Fuzzy Control Toolbox. Author : Antonio Javier Barrag)

一个小而有效的程序来执行的K -近邻搜索算法，此算法利用JIT 理论加速循环，比向量化有效解决了大量数据的精度问题。甚至比kd-tree效果要佳(A small and effective procedures to implement the K- nearest neighbor search algorithm, this algorithm uses JIT acceleration cycle theory, than to solve a lot of data to quantify the accuracy of the problem. Even more than the kd-tree effect has to be good)

2. 设 是窄带信号，定义 是在 区间上均匀分布的随机相位。 是寬带信号，它是一个零均值、方差为1的白噪音信号e(n)激励一个线性滤波器而产生，其差分方程为 。 1） 计算 和 各自的自相关函数，并画出其函数图形。根据此选择合适的延时，以实现谱线增强。 2） 产生一个 序列。选择合适的 值。让 通过谱线增强器。画出输出信号 和误差信号e(n)的波形，并分别与 和 比较。 (Computer Experiments: 1. Consider an AR process x(n) defined by the difference equation where v(n) is an additive white noise of zero mean and variance .The AR parameters and are both real valued: a) Calculate the noise variance such that the AR process x(n) has unit variance .Hence , generate different realization of the process x (n). b) Given the input x (n), an LMS filter of length M = 2 is used to estimate the unknown AR parameters and . The step size is assigned the value 0.05. Compute and plot the ensemble average curve of and by averaging the value of parameters and over an ensemble of 100 different realization of the filter. Calculate the time constant according to the experiment results and compare with the corresponded theoretical value. c) For one realization of the LMS filter, compute the prediction error And the two tap-weight errors and Using power spectral plots of , show that)

car licence number segmentation