MATLAB-huizhipinmiantu-ji-lititu

fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u)^2)/(2*sig^2)) with parameters: u,sig^2 format: result = fit_ML_normal( x,hAx ) input: x - vector, samples with normal 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 sig^2,u - fitted parameters CRB_sig2,CRB_u - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

Algorithms for Image Processing and Computer Vision 2nd

说明：  囚犯问题，100个囚犯如何获得释放的matlab仿真程序源代码(Prisoners, 100 prisoners were released on how the matlab simulation program source code)

matlab建模的十大思想的实现，帮助同学在建模中拿到好的成绩(Matlab modeling ten ideas to help students get good results in modeling)

此程序为ook编译码程序，详细的介绍了ook调制原理及解调的原理及过程(This program is ook encryption procedures, detailed introduction to the principles and process of modulation and demodulation principle ook)

matlab dsp中函数downsample和upsamplec代码(matlab dsp functions in downsample and upsamplec code)

paper about A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey

汽车转弯制动控制策略研究，很好的硕士论文，很高的参考价值(Vehicle cornering brake control strategy of a good master s thesis, a high reference value)

tutorial matlab gratis gratis gratsi

Cascaded multi-level inverter