PDSCH

双目资料，很好的学习资料，帮助很大，谢谢大家(Binocular information, good learning materials, helpful, thank you)

This set of MATLAB tools consists of some functions that I have found useful for basic image processing and blob analysis. The functions have been tested for MATLAB Version 5.3.0.10183 (R11) on PCWIN. Many of the files must be run as MEX files (MEX files are sometimes much faster than M-files). These must be compiled before use by typing "mex filename.c" at the MATLAB command prompt where filename.c is the relevant filename. Ensure that you are in the correct directory (e.g. cd c:..KFtools) and that the KFtools directory is included in the MATLAB path. The last three letters of all of the functions that are implemented as MEX files are m-e-x e.g. getboundarymex.(MATLAB This set of tools consists of some fu nctions that I have found useful for basic image processing and blob analysis. The functions ha 've been tested for MATLAB version 5.3.0.10183 ( R11) on PCWIN. Many of the files must be run as MEX files (MEX files are sometimes much faster than M-files). These must be compiled before use by t yping "Files filename.c" at the MATLAB command pr filename.c ompt where is the relevant filename . Ensure that you are in the correct directory (e . g. cd c : .. KFtools) and that the directory is KFtools included in the MATLAB path. The last three lett ers of all of the functions that are implemented MEX files are as m-e-x e.g. getboundarymex.)

广义预测控制的matlab源程序，可以很容易的修改成自己的应用(Generalized Predictive Control matlab source, can be easily modified into their own applications)

天线设计原理，适合天线初学者以及工程人员参考的经典资料(Antenna design principle of classical information, suitable for beginners and engineering personnel antenna)

在多分辨率衰落信道中第一类优先级数据的平均BER表达式(Fading channel in a multi-resolution data first priority of the average BER expression)

这是matlab编写的3个常用机器学习分类器代码。其中包括了： 1）PCA 分类其；2）LDA分类器：3）naive贝叶斯分类器。 3个算法的实现参考了《Introduction to Machine Learning》。 除了这3个分类算法的实现外，代码里面还包含了用于测试的main.m 主程序和一个实验的简要报告。实验在著名数据集acoustic_train_data 上进行。(This source code includes the implementation of three famous classifiers in machine learning. They are 1) PCA, 2) LDA and 3) Naive Bayesian. The detail theory behind these classifier can be found text book <<Introduction to Machine Learning>>. Besides the implementation of these 3 algorithms, the main.m for testing and a brief testing report is also included. (The testing is on data set acoustic_train_data) Enjoy:))

DDC的处理,描述从ADC采集数据后信号的下变频处理.主要是信号滤波和抽取(digital handle)

Astrodynamics library file crack

基于Taubin论文方法的最小二乘圆拟合法 (Circle fit by Taubin G. Taubin, "Estimation Of Planar Curves, Surfaces And Nonplanar Space Curves Defined By Implicit Equations, With Applications To Edge And Range Image Segmentation",IEEE Trans. PAMI, Vol. 13, pages 1115-1138, (1991))

经典的HOG特征的求法，在matlab下面运行(HOG features the classic method for finding run in matlab the following)