MatlabStatisticalFunctions

合成孔径雷达成像的matlab仿真 条带SAR 3个点目标(Matlab simulation of synthetic aperture radar imaging bands SAR point target)

一张图片是之前用摄像机采集的，另一张图片是经过离散沃尔什变换再量化编码压缩后又解压所得，能看出区别吗？呵呵。flik.m是原图，newflik.m是新图。 附上所有MATLAB源程序，有兴趣的话，你也可以用这几个程序对自己的照片“加工”一番。以下6个程序分别保存为6的m文件，文件名与下面给出的一致。待“加工”图片应该存放在Matlab的Work目录下。(Before a picture is collected by the camera, another picture is the result of discrete Walsh transform and then re-quantization coding compression decompression income, you can see the difference? Ha ha. flik.m is the image, newflik.m is a new map. MATLAB source code attached to all interested, you can also use these procedures on their own photo processing of something. The following six procedures were saved as 6 m file, the file name is given with the following consensus. To be processing picture should be stored in Matlab s Work directory.)

matlab7简明教程，有电子教案，有源程序，非常适合自学，有心参加数学建模的下载，非常有用。(matlab7 simple tutorial, electronic lesson plans, source code, and is ideal for self-study, wants to join the Download of mathematical modeling, very useful.)

MIMO_indB,CSI未知情况下平均分配功率(-LTE_link_levek simulation)

用随机信号作为SAR的发射信号！体现在距离向的分辨率具有明显优势！(SAR emission signal as a random signal. Reflected in the distance to the resolution has obvious advantages.)

Md5 matlab source code

关于数学实验的几个matlab程序，里面有一个说明的幻灯片(Mathematical Experiments on several matlab program, which has a description of the slide)

目前多通道SAR成像比较热门，这个程序就是实现MIMOSAR成像的程序，供学习！(More popular multi-channel SAR imaging, this program is achieve MIMOSAR imaging procedures for learning!)

FCM算法。使用Matlab编写。可用于数据聚类，图像分割，统计分析等各种机器学习领域。(FCM algorithm. Write with matlab. It can be used in data clustering, image segmentation, statistical analysis and other machine learning fields.)

In his 1960 famous publication (“A new approach to linear filtering and prediction problems”, Trans.ASME J. Basic Engineering., vol 82, March 1960, pp 34-45), Rudolf Kalman based the construction of the state estimation filter on probability theory, and more specifically, on the properties of conditional Gaussian random variables. The criterion he proposed to minimize is the state vector covariance norm, yielding to the classical recursion : the new state estimate is deduced from the previous estimation by addition of a correction term proportional to the prediction error (or the innovation of the measured signal).