bus_test

12.1 图像点的运算 12.1.1 线性点运算 12.1.2 非线性点运算 12.2 图像的算术运算 12.2.1 加法运算 12.2.2 减 法运算 12.2.3 乘法 运算 12.2.4 除法 运算 12.2.5 其它运算 12.3 图像的位逻辑运算 12.4 图像的几何运算 12.4.1 图像插值 12.4.2 图像缩放 12.4.3 图像旋转 12.4.4 图像剪切 12.5 空间变换 12.5.1 仿射变换（ affine transformation ） 12.5.2 透视变换 (Perspective Transformation) 12.5.3 空间变换的 MATLAB 函数 12.5.4 空间变换实例 12.6 图像融合 12.7 邻域与块操作 12.7.1 邻域操作 12.7.2 图像块操作 12.8 区域处理 12.8.1 区域选择 12.8.2 区域滤波 12.8.3 区域填充(12.1 image point arithmetic 12.1.1 computing linear point 12.1.2 nonlinear point operations 12.2 image adder computing 12.2.1 Arithmetic 12.2.2 subtraction multiplication 12.2.3 computing division 12.2.4 computing 12.2.5 other computing 12.3 Image 12.4 Image-bit logic operations geometric computing 12.4.1 Image Interpolation 12.4.2 image scaling 12.4.3 image rotation 12.4.4 Shear Image 12.5 Space Conversion 12.5.1 affine transformation (affine transformation) 12.5.2 Perspective Transform (Perspective Transformation) 12.5.3 space transform space transform MATLAB function 12.5.4 Examples 12.6 Image Fusion 12.7 Neighborhood and Block Operation 12.7.1 Operation 12.7.2 neighborhood image processing block operation 12.8 Regional 12.8 area selection 12.8.1. 2 regional filtering area filling 12.8.3)

说明：  适合初学者ransac算法的基本原理，较为详细全面的介绍了ransac算法(Ransac algorithm suitable for beginners the basic principles of a more detailed and comprehensive introduction to the ransac algorithm)

matlab实现的推荐系统，融合机器学习的方法，出自斯坦福大学吴恩达(matlab implementation of recommendation system, the integration of machine learning methods, from Stanford University, Wu Enda)

forecasting time series-matlab

用非分离重复过采样正交变换对图像进行去模糊，去噪声，超解像实验。(Repeat with the non separation of the image to blur, noise sampling orthogonal transform, super resolution experiment. )

接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法可参考算法说明文档。这里对程序的流程进行说明。 首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。 (The receiving end uses the algorithm and the program flow and the frame structure of the OFDM symbol transmitted by the sending end. Specific frame structure, and timing estimation, frequency offset estimation, residual error tracking algorithm can refer to the documentation. Here to illustrate the process of the program. First, according to the characteristics of the short training word correlation operation, the signal reaches the detection, when the correlation value is greater than the threshold of a certain number of times, that there is a signal to reach. Then, according to the characteristics of the long training word, the correlation operation is carried out, and the initial position of the OFDM symbol FFT is estimated. The estimated position of the FFT window, first in the time domain for small frequency offset estimation, two long training word for small frequency offset compensation, the FFT operation. According to the result of FFT for integer frequency bias estimation. Af)

说明：  小波包分解重构后，求节点能量，matlab中运行很好(After the wavelet packet decomposition and reconstruction, the node energy is calculated, which runs well in matlab.)

直方图均衡化的另一种解法，不是用累加的方法得到的，是用分配灰度值空间的办法。(Histogram equalization another solution, instead of using the cumulative method is the use of the distribution of gray value space approach.)

说明：  利用matlab实现移位 卷积 相加 等等(Using matlab convolution sum, and so achieve the shift)

matlab数字图像处理中RGB转换HSI(digital image processing matlab HSI conversion RGB)