SLM

The simulink model of Back propagation Algorithm using an Adaptative Filter.

首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。(First, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives. And then the characteristics of long training word, the correlation operation for the FFT window starting position of an OFDM symbol estimate. The estimated position of the FFT window, the first small frequency offset in the time domain estimation, the two long training word small frequency offset compensation, the FFT operation, the FFT result of the operation for integer frequency offset estimate. These parameter estimation is completed, the data can be demodulated on. The first portion of the data for a complete frequency offset compensation, and based on the estimated FFT window position of the FFT operation to obtain frequency domain data, demodulated. Then corresponding to the position of the pilot subcarriers are extracted on pilot inform)

Finding roots with the secant methods

Epitomic analysis of appearance and shape

308*440关于边缘检测的Matlab源代码，需要的可以(308* 440 on the edge detection of Matlab source code, and we need to see it)

leach分簇算法仿真2(基于matlab leach分簇算法仿真2(基于matlab(leach clustering algorithm simulation (based on matlab leach clustering algorithm simulation (based on matlab)

调制与解调用于随机共振的微弱周期信号检测,随机共振经典论文(failed to translate)

关于输电线路电流差动保护的编程实现，使用了simulink的方式进行建模分析(Transmission line current differential protection)

digital band-pass filter with a bandwidth of 100 Hz, mean frequency 250 Hz, 0.1 db

DSP编程,c语言和matlab常用算法 (DSP programming, c language and Matlab algorithms)