12GA08

此代码为三维菲涅耳全息图的再现代码，但是有部分错误还未完全研究明白(This code for the three Wei Feinie ears hologram reproduction code, but some of the error is not fully understood)

matlab 程序 圆锥拟合 使用最小二乘法(matlab cone fitting procedure using the least squares method)

说明：  有关noiselet的相关资料及matlab仿真，整理的很详细，内容比较完整。(some paper and matlab source code about noiselet)

说明：  基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.(Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.)

Example how to use to use FFT to obtain frequency spectrum.

程序计算在声速梯度下水中声线的传播并计算声线的长度(Program calculates the velocity gradient in the water line of acoustic sound propagation and calculate the length of the line)

Prony的matlab工具箱，很详细，使用它可以对信号进行prony变换和分析。(Prony matlab toolbox,the signal can be prony transformation and analysis.)

暗示大家说的教案设计的就撒娇的就撒娇大家(js)

说明：  经典Matlab编程以及教程，适合初学者学习(Matlab program)

说明：  用matlab实现的isomap降维算法，该算法为论文原下载算法。(Use matlab to achieve the isomap reduction)