TMD-ATMD-structure-control

实现最速上升梯度算法的matlab函数，求得目标函数的最大值(Gradient algorithm to achieve the most rapid rise)

中值滤波，直方图均衡化matlab源程序，非matlab自带库函数。matlab图像裁切实现。(Median filtering, histogram equalization matlab source, not just using matlab library function. matlab image cropping. )

说明：  得到了地震波型，放入代码程序中，可以得出反应谱(We get the seismic wave type, put it into the code program, we can get the response spectrum)

说明：  RBF逼近未知函数的滑模控制，用matlab语言编(Sliding mode control of RBF approximating unknown function)

说明：  用于预测地震伤亡人数的MATLAB神经网络程序(Used to predict earthquake casualties MATLAB neural network program)

基于角度和时延联合估计（JADE）算法MATLAB仿真程序(Based on joint angle and delay estimation (JADE) algorithm MATLAB simulation program)

潮汐调和分析，用于海洋专业，分析各分潮潮汐调和常数。(Tidal harmonic analysis for marine professionals to analyze the sub-tidal tidal harmonic constants.)

层次分析法matlab实现，输入判断矩阵，计算权向量并做一致性校验(Level analysis matlab, enter a judgment matrix, and calculate the weight vector and a consistency check)

graph compares pd versus signal noise ratio

DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and transmitted. The JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients, computes the inverse two-dimensional DCT of each block, and then puts the blocks back together into a single image. For typical images, many of the DCT coefficients have values close to zero these coefficients can be discarded without seriously affecting the quality of the reconstructed image. The example code below computes the two-dimensional DCT of 8-by-8 blocks in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients in each block, and then reconstructs the image using the two-dimensional inverse DCT of each block. The transform matrix computation method is used.