ofdm

图像压缩实例，使用函数wdcbm2()获取信号压缩阀值(the example for image compression using wdcbm2() which is a wavelet function )

该算法为距离-多普勒成像算法，针对场景的多散射点目标录取回波数据，采用匹配滤波的方法实现距离向与方位向的压缩，识别出目标并得到其位置信息。(The algorithm is range Doppler imaging algorithm, aiming at the multi scattering scene target extracting echo data, matched filtering method was used to realize the distance and azimuth compression, identify the target and its location information.)

基于正则化项的最大后验概率重建的一段程序，简单易懂(Based on regularization item maximum a posteriori probability reconstruction of a program, simple and understandable )

C# 给图片添加水印 图片类型转换 例子

这个是INSAR图像处理的matlab工具箱，里面包含了很多有用的函数，对我们非常有帮助。(This is the INSAR image processing toolbox, which contains many useful functions, very helpful to us.)

[MATLAB] 安捷伦示波器波形离线FFT分析谐波含量 在现场用示波器记录波形，保存为CSV文件，可以使用本程序进行离线分析。 直流量，交流量，偏移量，谐波次数都可以完美分析。 内含帮助文件，适合MATLAB2009以上([MATLAB] Agilent oscillograph waveform offline FFT analysis of harmonic content Oscillograph waveform is recorded on the scene and saved as CSV file. This program can be used for off-line analysis. Direct flow, AC quantity, offset and harmonic number can be perfectly analyzed. Contain help files, suitable for more than MATLAB2009)

说明：  计算两个离散变量x和y的联合熵z = H（x，y）。 输入：x，y：两个相同长度的整数向量输出：z：联合熵 可以使用，有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy good for learning purposes)

计算机视觉中得八点算法，采用SVD分解最小二乘解来求基本矩阵，这是模拟仿真实验程序。(Was 8:00 in computer vision algorithms, using SVD decomposition least-squares solution to seek the fundamental matrix, which is simulation, experimental procedure.)

通过用户给定的标签信息，来提取图像中的标记像素点位置，保存为种子点(Through the label information given by the user, the position of the label pixels in the image is extracted and saved as seed points.)

说明：  自己用python复现的NL-mean去噪，备注比较详细，便于理解原理； 之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle. We will try to reproduce more classical papers in the field of image.)