three_machines_nine_buses

2D PWM Photonic crystal source code

In probability theory, a stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system). Instead of dealing with only one possible reality of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions. This means that even if the initial condition (or starting point) is known, there are many possibilities the process might go to, but some paths may be more probable and others less.

这是一个GMM模型的语音识别代码 非常详细 而且实用。(This is a GMM model for speech recognition is very detailed and useful code.)

msk demodulation technique using OQPSK

robotics remote by eye

利用matlab画地形图，根据各功能区的坐标。(Using MATLAB to draw topographic map, according to the coordinate of each functional zone.)

matlab code for fingerprint recognition

关于OFDM的基本原理和实现方案，以及相关的matlab仿真的源程序(On the basic principles of OFDM and the realization of the program, as well as the source matlab simulation)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

模式识别作业，贝叶斯估计，采用parzen窗函数估计法，窗函数选择正态窗函数。(Pattern recognition task, Bias estimates, using the Parzen window function estimation method, choose normal window window function.)