movement_detector

matlab一百例，有详细的程序讲解，很有用的资料(matlab one hundred cases, explain the procedures detailed, useful information)

matlab做的可视化界面，实现滤波器的自己设计，功能和自带的fdatool差不多，可是代码更好懂一些。有需要的可以看一下(Matlab do visualization interface to achieve its own filter design, and built-in functions fdatool almost, but to better understand some code. Need to see what)

采用自相关法计算混沌时间序列最小延迟时间的Matlab原程序。(using autocorrelation calculated chaotic time series smallest delay time of the original program Matlab.)

微分先行PID算法，MATLAB语言编写，仿真效果不错。(Differential first PID algorithm, MATLAB language, simulation results are good.)

典型的粒子群算法的matlab程序，附带详细注释(typical PSO algorithm with detailed annotation )

matlab 读取振动信号数据程序 适合了解振动信号结构（头文件）(The MATLAB reads the data of the vibration signal of program suitable for vibration signal structure (header))

OFDM高斯白噪声信道仿真，包括发送端到接收端，误码率分析。()

this code implements a curvelet toolbox

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)

有需要的自己下载查看 内部有图有程序 (There is a need to download the view of its own internal procedures have plans has)