Fisher

MATLAB程序设计之行遍性经典教程MATLAB programming trip times of classic tutorials(MATLAB programming trip times of the classic tutorial MATLAB programming trip times of classic tutorials)

num=[2 1.4 -0.9 -0.158 0.4104 0.0294 -0.0668] den=[1] figure(1) zplane(num,den) num1=[1 2.7 -12.61 -24.757 66.301 62.072 -126.786] den1=[1] figure(2) zplane(num1,den1) num2=[0.2 -0.26 1.934 10.413 1.934 -0.26 0.2] den2=[1] figure(3) zplane(num2,den2) num3=[1.25 0.5 -2.1 -2.1 0.5 1.25] den3=[1] figure(4) zplane(num3,den3) num4=[1.1 3.12 -2.5 0.6 0.5 0.006 1] den4=[1] figure(5) zplane(num4,den4) (good)

matlab coding for image segmentation of a video file

功率谱分析的几种方法。经典的,周期图等谱分析方法，直接RUN(Power spectral analysis of several methods. Classic)

计算回转支承的应力分布,使得每个滚珠应力都很清楚(calculation of pressure distribution of slewing bearings)

关于 MATLAB 图像加密的讲解 和 图像处理 的内容 很详细(On the MATLAB image encryption and image processing to explain in great detail the contents of the)

说明：  6. 在三条径的瑞利信道中，对于OFDM： (1) 请设计一种具体的导引辅助的信道估计方法，用Simulink进行仿真，测量BPSK调制时的误码率性能。画出比特信噪比与信道估计均方误差的关系曲线，画出比特信噪比与误码率的关系曲线。 (6. In the three path Rayleigh channel, for OFDM: (1) Please design a specific guide-assisted channel estimation method, the Simulink simulation, BPSK modulation measuring the bit error rate performance. Draw-bit signal to noise ratio and channel estimation mean square error of the curve, draw-bit signal to noise ratio and bit error rate curve.)

PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model imposing stability restrictions using Gibbs sampling y = b0 + y(t-1) b1 + y(t-2) b2 +,...,y(t-k) bk + E, E = N(0,sige*V), sige = gamma(nu,d0), b = N(c,T), V = diag(v1,v2,...vn), r/vi = ID chi(r)/r, r = Gamma(m,k)( PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model imposing stability restrictions using Gibbs sampling y = b0+ y(t-1) b1+ y(t-2) b2+,...,y(t-k) bk+ E, E = N(0,sige*V), sige = gamma(nu,d0), b = N(c,T), V = diag(v1,v2,...vn), r/vi = ID chi(r)/r, r = Gamma(m,k))

matlab学习书籍，很有用的，大家可以根据这个自学！(matlab learning books, very useful, we can according to the self-study!)

通过改变想要处理的帧，和预测器阶数，对原始语音帧和预测语音帧作一个比较，并作出短时谱和lpc谱，最后作倒谱比较。(By changing the processing of the desired frame, and the predictor order, the original speech frame and the predicted speech frame to make a comparison and to make short-term spectrum and the lpc spectrum, cepstrum last for comparison.)