fir_filter

matlab遗传算法几个程序代码，大概有5个左右(Several genetic algorithm matlab code, probably about 5)

GRNN的数据预测-基于广义回归神经网络货运量预测(GRNN data to predict- based on generalized regression neural network volume forecast)

接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法可参考算法说明文档。这里对程序的流程进行说明。 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。 (The receiving end uses the algorithm and the program flow and the frame structure of the OFDM symbol transmitted by the sending end. Specific frame structure, and timing estimation, frequency offset estimation, residual error tracking algorithm can refer to the documentation. Here to illustrate the process of the program. First, according to the characteristics of the short training word correlation operation, the signal reaches the detection, when the correlation value is greater than the threshold of a certain number of times, that there is a signal to reach. Then, according to the characteristics of the long training word, the correlation operation is carried out, and the initial position of the OFDM symbol FFT is estimated. The estimated position of the FFT window, first in the time domain for small frequency offset estimation, two long training word for small frequency offset compensation, the FFT operation. According to the result of FFT for integer frequency bias estimation. Af)

matlab/s函数的应用，有兴趣的读者可以一起交流。(matlab/s function of the application, interested readers can join the exchange.)

This code is to generate FIR filter

mat lab code for image compression technique can be decrease for digital images

一种改进后的绝对关联度模型，属于灰色关联度的一种。(Absolute correlation degree model is a kind of improved absolute correlation degree model, is a kind of grey correlation degree.)

Astatre algorithm for navigation mobile robot. this algorithm is suitable and efficient for tracking path.

Proposed edge detection method based on bee colony algorithm. Utilization Characteristics colony algorithm for image boundary quick search, too To a group of local optima, and then were local minima to start the search, to find the edge of the image points of the object, all the bees to find the boundary point The union is the image edges. Simulation results show that the algorithm is feasible and effective.

杂波环境下单目标跟踪算法，包括概率数据关联和最近邻算法。(Single target tracking methods in clutter environment, including PDA and NN )