cm04

对于单次提取的诱发响应，本程序提供了一种用matlab实现消除诱发响应潜伏期的影响的快捷有效的方法(Eliminate latency of evoked response)

过这个程序，可以更加深入的了解FIR滤波是如何实现的。用AVR单片机 ATMEGA16L实现32阶FIR低通滤波器设计，低通截止频率为200HZ。原始信号经过AD采集后进行FIR运算，处理好的数据通过串口输出。(About this program, a more in-depth understanding of the FIR filter is how to achieve. The 32-order FIR low-pass filter design, low-pass cut-off frequency AVR microcontroller ATMEGA16L 200HZ. The original signal after AD collection, the FIR computation, the output of the processed data through the serial port.)

New image point brightenss convolution of template with image

Clarke模型的提出代表了Rayleigh分布用于平坦小尺度衰落统计模型的开端。虽然因为其实现比较复杂，而更倾向于被认为是一种数学模型而非仿真模型，但所涉及到的Rayleigh衰落信道的概念是其后众多改进模型的基础(The Clarke model put forward on behalf of the beginning of the Rayleigh distribution for flat small-scale fading statistical model. Because its implementation is more complex, and more inclined to think that instead of the simulation model is a mathematical model, but involved in the Rayleigh fading channel concept is the basis of many subsequent improvement model)

该软件利用Matlab的GUI功能,设计了一个人机交互界面,通过输入相应的参数来计算相应数据,在界面上即时显示相应的矩形和圆波导的场分布图,并可以根据需要进行电场和磁场的单独显示.(The software uses Matlab' s GUI functions, designed a human-machine interface, by entering the appropriate parameters to calculate the corresponding data, real-time display in the interface of the rectangular and circular waveguide the corresponding field distribution, and can be electric and magnetic fields as needed a separate display.)

用窗函数法设计FIR带通滤波器。指标：低端通带截止频率wlp=0.35π 低端阻带截止频率wls=0.2π。高端通带截止频率whp=0.65π 高端阻带截止频率whs=0.8π。 (Design of FIR with window function bandpass filter target: low-pass with cutoff frequency wlp = 0.35π low stopband cutoff frequency wls = 0.2π passband cutoff frequency of high-end whp = 0.65π high stopband cut-off frequency whs = 0.8π)

interconnect system parameter variation

matlab编程实例100，非常强大有用的工具例子(matlab programming examples 100, a very powerful example of a useful tool)

MATLAB行情软件MatlabTraderGUI V1.0（Beta版本） (MatlabTraderGUI V1.0 by faruto)

This is firefly algorithm which is implemented in matlab. The algorithm is well-known, and apply in many optimal areas and outperform GA and PSO