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使用MATLAB软件编写程序，然后进行仿真，最后生成图像(Programming using MATLAB software, and then simulated to generate the final image)

通过建立运动模糊数学模型, 进行了消除运动模糊的仿真实验, 维纳滤波恢复运动模糊图像效果较 好。在图像恢复技术中, 点扩展函数( PSF) 是影响图像恢复结果的关键因素, 所以常常利用先验知识和后验判 断方法估计PSF函数来恢复图像。实验表明在实际恢复过程中如果运动模糊图像混入了噪声, 必须考虑到信噪 比、噪声的自相关函数和原始图像的自相关函数对恢复后图像的影响。(Through the establishment of mathematical model of motion blur was conducted simulation experiments to eliminate motion blur, Wiener filter to restore motion-blurred image effect is good. In the image restoration technology, the point spread function (PSF) that affect the results of image restoration a key factor, so often used to determine a priori knowledge and a posteriori estimation PSF function to restore the image. Experimental results show that the actual recovery process if the motion-blurred images mixed with the noise, we must take into account the signal to noise ratio, the noise autocorrelation function and the autocorrelation function of the original image of the restored image effects.)

说明：  利用白噪声测量系统动态响应.需要自己建立一个simulink model.(use white noise to measure dynamics of system.)

4阶龙格库塔方程，给出了一个实例，并且写出详细的步骤和过程，看到就能会。(4-order Runge-Kutta equations, given an instance, and write detailed steps and processes that can be.)

有CDF三角函数曲线/三维曲线图，线性调频脉冲压缩的Matlab程序,外文资料里面的源代码。( There CDF trigonometric curve/3D graphs, LFM pulse compression of the Matlab program, Foreign materials inside the source code.)

假定一个线性调频信号，作出线性调频信号的时域和频域波形，并对线性调频信号做脉冲压缩(Assuming a linear FM signal, making a linear FM signal in time domain and frequency domain waveforms, and a linear FM signal with pulse compression)

说明：  语音识别全过程的matlab程序，运行测试能出结果，希望对你们有用，实在没点数才把自己压箱底的东西拿出来,呜呜(The whole process of speech recognition matlab program, run the test to the result, I hope helpful for you, only then it did not point out what their own bottom pressure, the hum)

integrated photonics ebook

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基础及其应用教程，提供给matlab初学者，很好的教材(Matlab and its application tutorial, available to matlab for beginners, good textbooks)