1-s2.0-S014206151500099X-main

对混沌时间学列但不预测及多步预测的输入信号信号归一化处理(Studies of chaotic time series prediction and multi-step, but not predictable input signal signal normalized)

说明：  本论文介绍了“平均相关”方法和“块累加”方法，可以用于弱信号的捕获。(This thesis proposes the methods of "Averaging correlation"and "Block addition"for weak signal acquisition.)

不规则光照下自适应阈值的前景背景分离算法(Irregular light of the prospects for adaptive threshold background separation algorithm)

matlab中wash码的仿真及相关性分析(wash)

说明：  卡尔曼滤波，分别用UKF、EKF用于非线性飞行器系统，飞行器模型分别采用CA/CV/Jerk/sin模型(Kalman filter, UKF, EKF for nonlinear aircraft systems, respectively, aircraft model using CA / CV / Jerk / sin model)

此函数完成自适应波束形成的加权算法，在给定的期望方向给输入信号进行滤波加权(Achieve this function the weighted adaptive beamforming algorithm, the expectations in a given direction to the input signal for filtering the weighted)

LMS: Least Mean Square the source code for state space environment.

this book contains information obtained from authehtic and highly regarded source

removal of noise by using robust techniques

也是最优路径问题，编译后会得到一个最短的路径(Is the optimal path problem, the compiler will get a shortest path)