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基于MATLAB Simulink通信系统建模与仿真 程序源代码和模型(Modeling and Simulation of Communication System Based on MATLAB Simulink Program source code and model)

说明：  用于特征降维，特征融合，相关分析等多元数据分析的广义典型相关分析（GCCA）Matlab代码实现。(For feature reduction, feature fusion, correlation analysis, multivariate data analysis using generalized canonical correlation analysis (GCCA) Matlab code implementation.)

包含了MATLAB编写的关于自适应算法在不同步长下收敛速度的仿真源码，运行正确(Written in MATLAB includes adaptive algorithm is not synchronized on a long simulation source code under the convergence speed, running right)

说明：  四阶龙格库塔法解内弹道方程，具有很好的精度，程序通俗易懂(Fourth-order Runge-Kutta method solution trajectory equation for interior_ballstic,)

用MATLAB实现最速下降法_牛顿法和共轭梯度法求解实例(Using MATLAB steepest descent method _ Newton method and conjugate gradient method for solving examples)

小波提升算法的实现，欢迎大家交流指正，希望对您有帮助。(Wavelet Lifting Algorithm, welcome to the exchange correction, and they hope to help you.)

Direct torque control using fuzzy logic controller

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

使用CMakeList重新组织的SBA，即稀疏矩阵光束法平差算法，希望对大家有用(Use CMakeList reorganize the SBA, namely sparse matrix bundle adjustment algorithm, we hope to useful)

Abstract—In this article we provide a thorough stability analysis of two well known adaptive algorithms for equalization based on a novel least squares reference model that allows to treat the equalizer problem equivalently as system identification problem.