yuandaima-di-2-zhang

图像加减运算，包括图像和常数的加减图像的相乘和一些图像处理的MATLAB代码(Image addition and subtraction operations, including image and constant multiplication and some addition and subtraction images MATLAB image processing code)

无多普勒频移的海底混响单元散射模型卷积法-matlab(the seafloor reverberation unit scattering model convolution method without Doppler frequency shift )

最基础的snake检测轮廓边缘方法的代码，用matlab编写，注释清晰完整。(The snake most basic outline of the edge detection method code, matlab written comments clear and complete.)

A matlab program that illustrates the occurance of aliasing in a digital signal. if the sampling frequency is not sufficient then aliasing occurs.

有关matlab的数值计算求导方法，对以后数值计算的求导很实用。(About matlab numerical calculation method of derivation, for subsequent numerical derivation is very practical.)

关于短时傅里叶变换进行时间-频率分析的代码，用MATLAB编写的代码。(On short-time Fourier transform time- frequency analysis of the code, the code written in MATLAB.)

用于方程组求解的matlab实例源代码（赋使用说明）(Equations for the matlab source code)

the noise deteriorates the interpolation performance in digital images, it is effective to employ denoising prior to the interpolation. In this paper, we propose a novel interpolation framework in which denoising and image sharpening methods are embedded. In the proposed framework, the image is first decomposed using the bilateral filter into the detail and base layers which represent the small and large scale features, respectively. The detail layer is adaptively smoothed to suppress the noise before interpolation and an edge-preserving interpolation method is applied to both layers. Finally, the high resolution image is obtained by combining the base and detail layers. Experimental results show that the proposed algorithm outperforms the conventional methods

说明：  有关BP算法权值修正的过程 用matlab编程 还可以用于神经预测(The BP algorithm weight correction process with the MATLAB programming can also be used for neural prediction )

Zernikz descriptors: the similarity measure based on the descriptor should deliver a similarity ordering that is close to the application driven notion of resemblance.