拉普拉斯矩阵

说明：  snake模型 简单 可以修改迭代次数跟初始mask 挺不错的，可以改参数(snake model Simple can modify iterations with initial mask quite good can change parameters)

Matlab script that simulates a system with rise time, peak time, damping factor, etc.

MATLAB在工程应用中的学习指南，有代码，有详解，特别适合新人学习。(MATLAB applications in engineering study guide, there are code, explain, especially for newcomers to learn.)

采用遗传算法和三次样条插值法对已给数据进行拟合，得出最优取点方案(Genetic algorithm and cubic spline interpolation method is to fit the data, obtain optimum take-point program)

Programs in Matlab for designing Butterworth and Chebyshev analog filters.

matlab中QPSK的simulink仿真，包括星座图以及频谱分析(The simulink matlab in QPSK simulation, including constellation and spectrum analysis)

PMSM DRIVES SIMULATION

独立成分分析(Independent Component Analysis，ICA)是近年来提出的非常有效的数据分析工具，它主要用来从混合数据中提取出原始的独立信号。它作为信号分离的一种有效方法而受到广泛的关注。(Independent component analysis (Independent Component Analysis, ICA) is a very effective tool for data analysis proposed in recent years, it is mainly used to extract the original independent signals the mixed data. It is an effective method for signal separation and widespread concern.)

用于矩形检测的源代码，已配说明，易看懂。但不适合于车牌检测等复杂的矩形检测(Rectangular detection for the source code has been assigned that easy to understand. But not suitable for detection of license plate detection rectangular complex)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].