DANMUMATLAB

振动信号预处理。去噪、去趋势项等。滑动平均法消除趋势项。(Vibration signal preprocessing. De-noising, the trend term.)

KLT跟踪算法，附有程序，并附有两个例子，可以完美运行(KLT tracking algorithm, with the program, along with two examples of the perfect run)

介绍了不同非线性模型在随机共振中的应用，像饱和非线性，阈值非线性等(Describes the different nonlinear model of stochastic resonance in the application, such as nonlinear saturation threshold nonlinearity. . . .)

说明：  matlab实现图像灰度变换，感受各种不同的灰度变换方法对最终图像效果的影响。(Matlab Gray Image Transform, different feelings Gray transform the ultimate effect of images.)

使用camshift方法进行运动目标跟踪，（修改了网上原有的camshift算法里的一些bug）(moving object tracking by camshift method,(modification edition of the original code on the web))

数学地角度来看，信号与图像处理可以统一看作是信号处理（图像可以看作是二维信号），在小波分析地许多分析的许多应用中，都可以归结为信号处理问题。对于其性质随时间是稳定不变的信号，处理的理想工具仍然是傅立叶分析。但是在实际应用中的绝大多数信号是非稳定的，而特别适用于非稳定信号的工具就是小波分析。(Mathematically, signal and image processing can be regarded as signal processing (image can be regarded as two-dimensional signal). In many applications of wavelet analysis, they can be reduced to signal processing. For signals whose properties are stable over time, the ideal tool for processing is still Fourier analysis. However, most of the signals in practical applications are unstable, and the tool especially suitable for unstable signals is wavelet analysis.)

利用饼型图分析产品市场占有率 实例 附源码

亚像素边缘检测，基于zernike 灰度矩，实现精度可达0.05个pixel(sub-pixel edge detect)

实现了图像的加水印，去噪，加噪声等功能，部分实现了追踪测速迭代松弛算法，独立成分分析算法降低原始数据噪声。( Realize image watermarking, de-noising, plus noise and other functions, Partially achieved tracking speed iterative relaxation algorithm, Independent component analysis algorithm reduces the raw data noise.)

用基于稀疏表示和KSVD字典学习去噪方法在对数域对SAR图像抑斑，本方法相对于一些经典的SAR图像抑斑方法，抑斑效果大大提高。(Based on the sparse representation and KSVD dictionary learning denoising method in the logarithmic domain，we despeckle SAR image, compared with some of the classic SAR image speckle suppression method, this method is much more effective.)