Haar-wavelet-image--processing

解析法建立挤压油膜阻尼器稳态数学模型并仿真特性关系(Analytical method SFD to establish steady-state characteristics of the mathematical model and simulation relations)

Matlab编制的利用相位特征完成图像匹配(match image feature points using phase data)

设r是f(x) = 0的根，选取x0作为r初始近似值，过点（x0,f(x0)）做曲线y = f(x)的切线L，L的方程为y = f(x0)+f (x0)(x-x0)，求出L与x轴交点的横坐标 x1 = x0-f(x0)/f (x0)，称x1为r的一次近似值。过点（x1,f(x1)）做曲线y = f(x)的切线，并求该切线与x轴交点的横坐标 x2 = x1-f(x1)/f (x1)，称x2为r的二次近似值。重复以上过程，得r的近似值序列，其中x(n+1)=x(n)－f(x(n))/f (x(n))，称为r的n+1次近似值(Let r is f (x) = 0 root, select the initial approximation x0 as the r, over point (x0, f (x0)) to do the curve y = f (x) the tangent L, L the equation y = f ( x0)+ f ' (x0) (x-x0), find the intersection of L and the x-axis of abscissa x1 = x0-f (x0)/f' (x0), x1 is called an approximation r. Through points (x1, f (x1)) to do the curve y = f (x) the tangent, and find the intersection of the tangent with the x-axis of abscissa x2 = x1-f (x1)/f ' (x1), x2 is called r the second approximation. Repeat the process, get an approximation of the sequence r, where x (n+1) = x (n)-f (x (n))/f ' (x (n)), as an approximation of r n+1 times)

说明：  利用Matlab编程验证用EM算法估计的高斯混合模型的相关参数的性能。(Validate the use of Matlab programming estimated using EM algorithm for Gaussian mixture model parameters related to the performance.)

频谱感知中的能量感知算法，在不同虚警概率的情况下，信噪比和检测概率的变化。(In Cognitive Radio， spectru sensing is important。And energy detection is more. In different false alarm probability, the Pd vary with the SNR.)

这些例子只要直接调入matlab就可以应用，简洁方便。适合初学者(meaningful)

这个是克劳特分解的源代码，上矩阵论课的同学可以参考一下(This is the source code Claut decomposition, the matrix theory lessons students can refer to)

随机共振模型是检测微弱信号，近期流行的算法，效果不错，从事微弱信号检测和提取的可看下(Stochastic resonance model is to detect weak signals, the recent popular algorithms, good effect, engage in weak signal detection and extraction can look)

现代通信系统（第二版）（MATLAB版）实例代码(communication with matlab)

P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理(P0311 : use Butterworth (Butterworth) low-pass filter on the noise in the image smoothing)