NeuralNetwork_Backpropagation_Regression

本程序完成地震信号的提取检测。以往都是利用地震信号的能量比，此处创新选择地震信号的过零点作为边缘提取的判断。新方法效果不错。(The process is complete extraction of seismic signal detection. Past, the energy ratio of seismic signal, where innovation and choice as the seismic signal zero-crossing edge detection judgments. The new approach is very effective.)

Numerical Methods in MATLAB Numerical Methods in MATLAB

project report about DTMF method using goertzel algorithm. Also, it analysis the difference between Goertzel and FFT

数学建模实验报告 报告内容包括数学建模中十分经典的是个问题 使用matlab编写(Mathematical modeling of experimental report in the report, including mathematical modeling is very classic is a problem to use matlab to prepare)

matlab使用垂直Sobel算子，自动选择阈值 [VSFAT Threshold]=edge(f, sobel , vertical ) 边缘探测 figure,imshow(f),title( 原始图像 ), 显示原始图像 figure,imshow(VSFAT),title( 垂直图像边缘检测 ) 显示边缘探测图像 使用水平和垂直Sobel算子，自动选择阈值 SFST=edge(f, sobel ,2) figure,imshow(SFST),title( 水平和垂直图像边缘检测 ) 显示边缘探测图像 使用指定45度角 Sobel算子滤波器，指定阈值 s45=[-2 -1 0 -1 0 1 0 1 2] SFST45=imfilter(f,s45, replicate ) SFST45=SFST45>=2 figure,imshow(SFST45),title( 45度角图像边缘检测 ) 显示边缘探测图像 (matlab I=rgb2gray(I0) J0=double(I) [VSFAT Threshold]=edge(f, sobel , vertical ) figure,imshow(f),title figure,imshow(VSFAT),title)

matlab gauss 三点gauss 算法(matlab gauss 3:00 gauss algorithm)

计算机控制二阶最小拍有纹波阶跃输入信号matlab程序(Computer-controlled stage least beat ripple step input signal matlab program)

以短时傅里叶变换为基础，进行信号的时频分析，可以在做出三维瀑布图。(In short time Fourier transform as the foundation, carries on the signal of time-frequency analysis, we can make 3 d waterfall diagram )

brightness scroll image

数字图像修复算法的评价标准也是从两个方面进行评价的，一个是修 复算法的效率，一个是修复后图像质量。修复算法的效率主要就是看修复 图像所用的时间，可以用时间就行量化。而图像质量很难从量上唯一的进 行评价，目前图像修复质量还没有统一的评价标准，从实际应用出发，修 复后图像质量的好坏大多数是从以下两个方面就行评价，修复后图像给人 主观上的“满意度”和客观上图像的cnr、enl、epi、psnr、snr来评判。(The evaluation criteria of digital image restoration algorithms are also evaluated from two aspects, one is repair. One of the efficiency of complex algorithm is the image quality after restoration. The efficiency of the repair algorithm depends mainly on the repair. The time spent on the image can be quantified in terms of time. But image quality is difficult to improve quantitatively only. At present, there is no uniform evaluation criterion for image restoration quality. Starting from practical application, repair The quality of restored images is mostly evaluated from the following two aspects, and the restored images are given to people. Subjective "satisfaction" and objective image cnr, enl, epi, psnr, SNR to judge.)