0471218766AntennaC

人工免疫算法的模式识别，用于故障诊断 (Pattern Recognition Artificial immune algorithm for fault diagnosis)

最优化方法的实现算法，分别有0.618法，共轭梯度法，等(The realization of optimization algorithm)

维纳滤波语音增强算法:语音增强算法的维纳滤波器，通过scalart 1996提出的实现。使用一个决策指导的方法跟踪的先验信噪比。请注意，该信号的第一0.25sec用于模型的噪声，即，它是假定的演讲之后，0.25sec开始(Wiener Filter for Noisy Speech Enhancement, implemented as proposed by Scalart 1996. Uses a decision directed method to track the a priori SNR. Note that the first 0.25sec of the signal is used to model the noise, that is, it is assumed that speech starts after that 0.25sec)

一种基于MATLAB程序的非周期点迭代程序算法(A non-periodic point iteration algorithm is based on the MATLAB program)

Simple code to learn how to code a Kalman Filter in Matlab

说明：  基于matlab，用yalmip工具包调用cplex求解电力系统机组组合问题，程序可运行(Based on MATLAB, using yalmip toolkit to call CPLEX to solve the unit commitment problem of power system, the program can run)

design and control of quadrotors with application to autonomous flying

fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples. fits data to the probability of the form: p(r) = sqrt(2/pi)*(a^(-3/2))*(r^2)*exp(-(r^2)/(2*a)) with parameter: a format: result = fit_maxwell_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. 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 a - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution

非线性方程组的牛顿迭代法MATLAB程序(Nonlinear equations of Newton iterative method MATLAB program)

详细介绍了MATLAB用于图像处理的相关函数命令！方便实用。(MATLAB for detailed information on the correlation function of image processing commands! Convenient and practical.)