MATLAB_programe

svm分类回归工具箱 适合初学者学习用()

simulation for PN codes for CDMA

说明：  数字波束形成算法 lms 最小均方误差 非常好(DBF digital beamforming least square LMS)

说明：  matlab下的kalman实现，内附详细的解释，有助于初学者学习，望高手免进(matlab kalman under implementation, containing a detailed explanation to help beginners learn to avoid looking into the master)

MATLAB gui新手必备的，常用的一些控件回调函数程序段。(The MATLAB gui novice must, commonly used control callback function block.)

matlab 调度分析模型(Matlab scheduling model)

扩展kalman滤波,目标在y轴上运动，传感器平台沿y轴方向运动，初学kalman不错。 ( Extended kalman filtering, target y-axis motion sensor platform along the y-axis motion)

Fuzzy logic is a form of many-valued logic or probabilistic logic it deals with reasoning that is approximate rather than fixed and exact. Compared to traditional binary sets (where variables may take on true or false values) fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false.[1] Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.

DMI WITH N EQUAL TO 4,8,20

说明：  Modify the Matlab Gauss Elimination routine given in lectures so that it (a) performs implicit complete pivoting, and (b) handles m right hand sides at once by performing an LU decomposition of the matrix A first and then doing forward substitution and back substitution (hence not modifying the right hand side as the elimination is perfomed). Test your program and then run it on the system AX = B(Modify the Matlab Gauss Elimination routine given in lectures so that it (a) performs implicit complete pivoting, and (b) handles m right hand sides at once by performing an LU decomposition of the matrix A first and then doing forward substitution and back substitution ( hence not modifying the right hand side as the elimination is perfomed). Test your program and then run it on the system AX = B)