L-M-neural-network

QAM调制仿真程序，在AWGN和瑞利衰落信道下仿真，适用于初学者。(QAM modulation simulation program, in the AWGN and Rayleigh fading channel simulation, applicable to beginners.)

MATLAB HELP FUNDENMENTAL IN YOUR CODE 2

This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting multiple minimizers are described. Moreover, results on the ability of the PSO in tackling Multiobjective, Minimax, Integer Programming and
1 errors-in-variables problems, as well as problems in noisy and continuously changing environments, are reported. Finally, a Composite PSO, in which the heuristic parameters of PSO are controlled by a Differential Evolution algorithm during the optimization, is described, and results for many well-known and widely used test functions are given.

matlab实现lpc编解码的程序，很好，很不错，值得看看。。。(matlab 。。。。。lpc。。。。。。。。。。。。。。。。。。。。。。。)

用平面波展开法计算的二维光子晶体空气孔结构，TM和TE模式的能带图，matlab程序源代码(With the plane wave expansion method to calculate the two-dimensional photonic crystal structure of air holes, TM and TE modes of the energy band diagram, matlab source code)

利用VC和Matlab混合编程,基于Matcom，Release文件夹下可直接运行，绘出震荡曲线(Using VC and Matlab to program, based on Matcom, Release folder can be run directly and shock curve can be plotted.)

画雷达信号的模糊函数，包括单脉冲信号、线性调频信号。(The painting of the ambiguity function of radar signals, including the single-pulse signal, linear frequency modulation signal.)

此函数是进行串并变化的功能函数，包含两个文件，一个进行提取基数为一个提取偶数位，从而达到串并变换的目的。这是在做需要多路进行数字调制所需要的步骤(This function is built to transform a sequence to serial and parallel sequence)

(2). 采用汉明窗，分段长度L=32，用修正的周期图法进行谱估计，并分析数据长度N，分段长度M对谱估计结果的影响。((2) using Hamming window, segment length L = 32, the modified periodogram method of spectral estimation and analysis of data length N, the length M of the sub-spectrum estimation results.)

另外一个OFDM频偏估计的代码，以该代码为基础的文章被EI检索收录，具有很高的参考价值。(Offset Estimation code to the code of the article was based on the EI retrieval recorded. have a very high reference value.)