chap2_12_MIMO_RLS

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

用采取CT模型，利用matlab实现机动目标跟踪，(With the CT model to use matlab to achieve maneuvering target tracking,)

Parallel image filtering test

matlab语言实现非线性最小二乘法的曲线拟合LM算法(Matlab language nonlinear least-squares method of curve fitting algorithm LM)

sensitivity calculus : output variation vs parameter variation

xerrorbar - Just like errorbar, but for uncertainty in x

MATLAB基础与应用实例集粹 模糊逻辑工具箱的使用 Simulink仿真与电路分析应用( Basis and application example highlights MATLAB fuzzy logic toolbox of using Simulink simulation and circuit analysis applications )

matlab code of bisection metjod

STBC-OFDM中Alamouti的仿真实现,包括信道编译码和二进制信源(STBC-OFDM in the simulation implementation Alamouti, including channel encoding and decoding and binary source)

meifilter倒谱系数滤波器,欢迎大家使用(it s melfilter, welcome to download)