GLCM-method-to-extract-features

详细功能图像处理的实施、包含内容说明 原理例子 图像说明(The implementation of the detailed functions of image processing, including the content description schematic example of image description)

基于MATLAB的图像区域分割和合并算法，包含3个m程序。(Image segmentation method based on regional division of merger)

说明：  S变换的MATLAB程序，可用于地震勘探去噪中，性能优于小波变换(S transform MATLAB program can be used for seismic exploration in the de-noising performance is better than wavelet transform)

matlab program to find prime numbers

DTM dor digital terrain model for gis

就通信系统而言，涉及到有线信道及非卫星无线信道的问题时，信道不再可以看成为恒参信道，信号往往是通过未知信道传播，通常把这样的信道称为盲信道。 本源代码对盲信道的参数进行估计，利用matlab仿真，对做盲信道的工程人员有一定的借鉴价值。(On communications systems, related to non-cable channels and the issue of satellite radio channel, channel no longer can be seen as a channel Constant reference signal is often spread through unknown channels, usually channel such as the blind channel. Source code for the blind channel estimation of the parameters, the use of matlab simulation, on the blind channel to do the engineering staff from a certain value.)

LMS算法是一种很有用且很简单的估计梯度的方法。这种算法60年代初得出以后很快得到应用，它的突出优点是计算量小易于实现，且不要求脱线计算。只要自适应线性组合器每交迭代运算时都知道输入信号台和参考响应，那么，选用LMS算法是很合适的。(LMS algorithm is a very useful and very simple estimate of the gradient method. The algorithm reached 60 soon after the early applied, it is to calculate the amount of the outstanding advantages of a small easy to implement, and does not require off-line calculation. As long as the adaptive linear combiner time per each iteration all know that Taiwan and the reference input signal response, then the selection of LMS algorithm is very appropriate.)

i want to find the code for the project

该资料是一个matlab仿真程序。实现对噪声中正弦信号相位的估计。利用matlab仿真得到的PDF估计 对不同的信噪比（SNR）情况进行Monte Carlo仿真(This information is a matlab simulation program. Realize sine signal phase noise estimation. Obtained by simulation using matlab PDF estimates different signal to noise ratio (SNR) conducted Monte Carlo simulation.)

说明：  波达角检测中的基于矩阵分解的高分辨测向算法(Angle of arrival detection based on matrix decomposition algorithm for high-resolution direction finding)