signal_analyszer

1.设计自适应信号分离器，用以从白噪声中提取周期信号。其中选取正弦信号s=sin(2*pi*t/10)为周期信号，宽带噪声信号为高斯白噪声，设置参考通道延迟为50。 2.宽带信号中的窄带干扰抑制实际上是自适应信号分离的一种应用，借助自适应信号分离器可以方便的实现窄带干扰的对消。(1. Design of adaptive signal separator, used to extract from the white noise periodic signal. The extraction of sinusoidal signals s = sin (2* pi* t/10) for periodic signals, broadband noise signal is Gaussian white noise, set the reference channel delay of 50. 2. Wideband signals in the narrow-band interference suppression is actually an application of adaptive signal separation, using adaptive signal separator can be easily achieved narrowband interference cancellation.)

PCA-L1算法程序，主要用于人脸识别，人工智能(PCA-L1 method)

在ar人脸库上的sparse kernel feature analysis程序，该程序挨个计算kernel空间鉴别向量，最后组成鉴别向量集进行分类(In the ar face database on the sparse kernel feature analysis program, which identified one by one calculation kernel space vector, the final set of vectors to classify the composition of differential)

用MATLAB对瑞利衰落信道进行仿真，并有结果图及分析。(Rayleigh fading channel using MATLAB simulation, and the results of maps and analysis.)

image retri by histogram to matlab

磁流变限界半主动最优控制：采用基于状态反馈线性二次最优控制算法可确定半主动控制中所需的最优控制力(clipped optimal semi-active control algorithm)

calculate the coefficients of the Hermite interpolating polynomial

necessary pdf for wimax

关于MATLAB的GUI界面学习。可以从这个程序中学习GUI界面的编程。(About the MATLAB GUI interface to learn.You can learn from this program GUI interface programming.)

说明：  在研究自主运动规划问题之前，首先需建立相对较为完整的自主运动规划体系，再由该体系作为指导，对自主运动规划的各项具体问题进行深入研究。本节将根据自主机器人的思维方式、运动形式、任务行为等特点，建立与之相适应的自主运动规划体系。并按照机器人的数量与规模，将自主运动规划分为单个机器人的运动规划与多机器人协同运动规划两类规划体系。(Before studying the problem of autonomous motion planning, it is necessary to establish a relatively complete system of autonomous motion planning, and then conduct in-depth study on the specific issues of autonomous motion planning under the guidance of this system. In this section, an adaptive autonomous motion planning system will be established according to the characteristics of autonomous robot's thinking mode, motion form and task behavior. According to the number and scale of robots, the autonomous motion planning system is divided into two types: single robot motion planning and multi robot collaborative motion planning.)