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xinhao
离散信号的时域分析，输出各种离散信号的波形图，有利于各初学者理解揣摩(Time domain analysis of discrete signals, the output waveform of various discrete signals, try to figure out is conducive to the beginner to understand)
- 2010-07-09 11:05:23下载
- 积分：1
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sw
说明： 这是关于matlab图行处理方面的源代码，说明matlab有强大的图形处理功能(This is a matlab figure on the source code line treatment, indicating that matlab has powerful graphics capabilities)
- 2010-12-14 20:38:36下载
- 积分：1
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grayMat
用于计算图像纹理特征的灰度共现矩阵。可计算水平，竖直，45，135度方向的共现矩阵。(Used to calculate the image texture gray co-occurrence matrix. Calculate the horizontal, vertical, 45,135 degrees direction co-occurrence matrices.)
- 2013-08-18 08:10:28下载
- 积分：1
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2
说明： 混沌系统仿真软件，用于混沌系统的仿真；通过分析系统的参数和初始状态来观测混沌系统的运行轨迹。(Chaotic system simulation software for simulation of chaotic systems，Through the analysis of the parameters and the initial state of system to measure the trajectories of chaotic systems.
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- 2013-08-26 17:09:43下载
- 积分：1
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progressbar
Useful for checking execution completion
- 2015-03-29 12:30:07下载
- 积分：1
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rgb2hsi
RGB2HSI Converts an RGB image to HSI.
- 2011-01-08 17:16:38下载
- 积分：1
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SAR_RCMC
SAR成像的距离徙动校正代码参考,包含了RCMC，以及绘图语句，供参考。(RCMC of RD )
- 2011-05-29 08:51:51下载
- 积分：1
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MATLAB
包括语音的录制程序，加噪程序，以及标准的噪声库，还有用谱减法实现带噪语言信号的增强等程序(ncluding voice recording program, noise procedures, and standards of noise library, as well as achieve the noisy speech signal enhancement using spectral subtraction procedure)
- 2015-04-16 13:24:45下载
- 积分：1
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对HDF5遥感数据的读写 calculate-H2O
实现对HDF5遥感数据的读写,包括数据格式的查看，数据读取，输出图像，图例等(HDF5 remote sensing data read and write, including data format to view, data is read, the output image, legends, etc.)
- 2015-12-14 16:31:36下载
- 积分：1
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knn1
K最邻近密度估计技术是一种分类方法，不是聚类方法。
不是最优方法，实践中比较流行。
通俗但不一定易懂的规则是：
1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。
2.选出最小的前K数据个距离，这里用到选择排序法。
3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method.
It is not the best method, but it is popular in practice.
Popular but not necessarily understandable rule is:
1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov).
2. select the minimum distance from the previous K data, where the choice sorting method is used.
3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)
- 2017-08-09 21:06:38下载
- 积分：1
