radio

A radial basis function network is an artificial neural network that uses radial basis functions as activation functions. It is a linear combination of radial basis functions. They are used in function approximation, time series prediction, and control.

简单的遗传算法解决优化问题的汇编代码，包括单变量无约束优化、单变量有约束优化及多变量优化问题，并配以实例进行说明(Genetic Algorithms)

Median and mean filter in Matlab

说明：  matlab开发的RBF、BP PID算法，已经过测试(matlab development of RBF, BP PID algorithm has been tested)

网络编码三节点模型的代码 SRD模型，传送两个信号，最简单的了。(network coding of three nodes in matlab simulation)

运动控制里椭圆的轨迹规划问题，应用matlab编程，等弦差方法(Motion Control in elliptical trajectory planning problem, apply the matlab programming, and other chordal deviation method)

说明：  matlab在图像处理中的重要代码！很详细的过程(matlab important in image processing code!)

实现qpsk调制，通过瑞丽信道和高斯信道 然后计算其误码率 并进行比较(Qpsk modulation to achieve, by Rui Lixin Road and Gaussian channel and then calculate the error rate and compare)

MATLAB小程序，实现模糊仿人只能的仿真，和PID进行了对比(MATLAB applet, fuzzy imitation only simulation, and PID were compared)

注水算法是根据某种准则，并根据信道状况对发送功率进行自适应分配，通常是信道状况好的时刻，多分配功率，信道差的时候，少分配功率，从而最大化传输速率。本文运用matlab通过对注水算法在mino系统中的三种不同的情况下进行了仿真，比较出在小信噪比时，相同信噪比下利用CSI的功率注水算法获得容量优于未知CSI的平均功率分配算法；相同容量下已知CSI信噪比比未知CSI时的信噪比小3dB.当信噪比增大到一定程度时，功率注水算法所获得的信道容量将收敛到平均功率分配的信道容量。(Water flooding algorithm is based on certain standards, and according to the channel condition to adaptive allocation of sending power, usually is a good moment, channel situation more distribution power, channel is poor, less power distribution, so as to maximize the transmission rate. This paper USES matlab based on water flooding algorithm in Austin system of three different cases are simulated and compared in small SNR, under the same SNR use CSI power allocation algorithm for capacity is superior to the average power allocation algorithm of unknown CSI Same capacity known CSI signal-to-noise ratio than the unknown CSI small signal-to-noise ratio of 3 db. When the signal-to-noise ratio increases to a certain degree, the power allocation algorithm for channel capacity will converge to the average power distribution channel capacity. )