libsvm-mat-2.89-3

改程序是由于降低papr的包括信道的产生，接收机的设计以及图形的打印(PAPR)

说明：  倒立摆模型建立，基于变结构和最优控制的一阶倒立摆起摆和稳摆控制，matlab实现。(Inverted pendulum model, based on the variable structure and optimal control of first-order inverted pendulum swing-up and steady pendulum control, matlab achieve.)

基于matlab的ofdm系统仿真源程序 qpsk调制与qam调制(matlab ofdm)

卷积计算、、 、、 MIT(convolution calculation ,,,,,,,, MIT )

函数形式kpca算法，可以直接使用，内含详细说明(Functional form kpca algorithm can be used directly, containing detailed instructions)

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)

有限元数值计算的源程序，matlab实现的(FEM calculation of the source, the realization of Matlab)

用随机森林RF方法分类IRIS数据集，用一百个数据做训练集，五十个作为测试集，并统计出错误率，可直接运行(Classification method with random forests RF IRIS data set, using one hundred data to do training set, and fifty as a test set, and the statistical error rate, can be directly run)

matlab.resource介绍了有关matlab的程序设计及应用(matlab.resource briefed on the Matlab design and application procedures)

i want source code for image segmentation