Simulinkabc

提供了三个NLMS算法程序，结果良好，供大家参考(provide 3 NLMS algorithm program with good results. Please refer to it.)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

ofdm modulation in matlab

使用matlab实现最小二乘法拟合，首先要先确定拟合函数的形式(Least squares fit using matlab implementation, the first should determine the form of fitting function)

倒立摆的源代码希望对你有用，分享一下看看，希望对你有用(The source code for inverted pendulum useful to you want to share it and see, you want to be useful)

用MOM方法数值计算二维导体柱散射问题，值得下载(MOM method using two-dimensional conducting numerical scattering problem, it is worth downloading)

各种随机信号的自相关函数和功率谱密度函数、画图(Autocorrelation function and power spectral density function of a variety of random signals, drawing)

发送装置：随机信号产生、脉冲成型（上采样可调，滚降可调）； 发送：AWGN信道（信噪比范围可调） 接收设备：QPSK调制解调 ，匹配滤波，判决 画出接收信号的眼图、星座图；计算误码率并与理论值比较。 (Transmitting device: random signal generator, pulse shaping (the sampling adjustable, adjustable roll-off) Send: AWGN channel (SNR range is adjustable) Receiving equipment: QPSK modulation and demodulation, matched filtering, judgment   BER is calculated and compared with the theoretical value draw the received signal eye diagram, constellation.)

对图像进行逐点计算，并且取最大值和最小值的差值作为该点新的灰度值。 在区别边缘点和非边缘点时，首先确定一个阈值T，若图像中像素点的新 值大于该门限值，则可以初步确定为边缘点，小于T的新值被判断为非边缘点.(Image point by point basis, and taking the maximum and minimum points of difference as the new gray value. Edge in the difference between point and non-edge point, first determine a threshold T, if the image of the new pixel value is greater than the threshold, you can initially identified as the edge point, the new value is less than T have been judged as non-edge point.)

用matlab求解天线输入阻抗求解，非常准确，基本上没有误差，用的是矩量法(Matlab solve the antenna input impedance by solving, very accurate, with virtually no errors, using a moment method)