optical-flow

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

鲁棒性好，性能优越，利用自然梯度算法，在MATLAB中求图像纹理特征。( Robustness, superior performance, Use of natural gradient algorithm, In the MATLAB image texture feature.)

实验内容 信号与系统试验报告 自己的作业 1.设有两个信号： 要求x(t)和h(t)采样形成离散序列， 参数选择如下： 采样率Δ=4ms， 频率f=30Hz， a=2f2ln(M), M=2.5 在MATLAB下实现连续信号离散化， 并绘制出离散形式的信号波形。 (Experimental signal and system test the contents of the report of one)

神经网络函数逼近源代码,函数用了sin三角函数，你也可以随便换成其他函数使用(Neural network function approximation source code, with the sin trigonometric functions, you can easily switch to other functions use)

Matlab用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境，主要包括MATLAB和Simulink两大部分。 帮助您快速、全面的掌握Matlab的运用。(Help you quickly and fully grasp the use of the Matlab.)

用matlab来实现的衍射模拟实验，便于教学中立体的观看实验结果，这是很好的(using Matlab to achieve the diffraction experiments to facilitate the teaching of stereo viewing the experimental results, This is a good)

在源信号和传输信道未知情况下，只利用接收天线的观测数据抽取源信号，称为盲信号分离.盲信号分离不仅是信号处理界、而且也是神经网络界的研究热点课题，在无线数据通信、雷达、图像、语音、医学以及地震信号处理等领域都具有广阔的应用前景.采用自然梯度法和分阶段学习法。(The source signal and transmission channel is unknown circumstances, using only observational data extraction receiving antenna source signal, known as blind signal separation. Blind signal separation is not only the signal processing community, but also a neural network hot topic in research circles, in the wireless data communications , radar images, audio, medical and seismic signal processing and other fields have broad application prospects. and the phases using the natural gradient learning method.)

l利用MATLAB进行PIC-MCC等离子体仿真(simulation of plasma)

说明：  面向组织结构的访问控制模型Structure-oriented access control model(Structure-oriented access control model)

Matlab图形图像处理例程。应用MATLAB图形函数和绘图实例(Matlab graphics and image processing routines. Application of MATLAB graphics functions and drawing examples)