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研究生毕业论文，希望对大家有所帮助，谢谢。顶(Graduate thesis, we want to help, thank you. Top)

可变模糊迭代聚类模型程序，能够应用于多种指标综合评价和聚类问题。(Variable fuzzy clustering iterative model program that can be applied to a variety of indicators and evaluation clustering problem.)

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

itk是美国国家卫生部开发的图像处理程序，但是使用不便，所以制作了他的matlab接口(itk is the United States National Institutes of Health to develop image processing procedures, but the use of inconvenience, so the production of his matlab interface)

人工智能算法，蚁群算法，人工免疫算法等matlab程序(Artificial intelligence algorithms, ant colony algorithm, artificial immune algorithm matlab program)

说明：  在matlab上面实现升余弦滤波器设计，不是用的matlab函数(In achieving the above raised cosine matlab filter design, not by the matlab function)

用窗函数法设计线性相位FIR低通滤波器。要求通带截止频率ωc=π/4，单位脉冲响应h(n)的长度N=23。绘出h(n)及其幅频响应特性曲线(Window function with linear phase FIR design a low pass filter. Required pass-band cutoff frequency ωc = π/4, unit impulse response h (n) of length N = 23. Plot h (n) and frequency response curves)

对近红外光谱图进行处理，主要是消除颗粒分布不均匀及颗粒大小产生的散射影响。(To deal with the near infrared spectra, mainly eliminate the uneven distribution of particles and the scattering effects of particle size. )

采用MATLAB实现的kalman滤波程序，有比较详细的例子和算法说明(Kalman filtering using MATLAB implementation procedures, more detailed description of examples and algorithms)

对遗传算法思想的理解和认识,对一个函数求其最小值，采用遗传算法的交叉，变异等特征进行优化求解(Genetic algorithms for understanding and awareness of thoughts, seeking the minimum of a function, using genetic algorithm crossover and mutation characteristics of the optimal solution)