BPnet

studty the chaotyic system

IEEE802.11n系统级仿真完整程序，引入了MIMO OFDM等技术，实现更高的吞吐率。(IEEE802.11n complete system-level simulation program, the introduction of MIMO OFDM technology to achieve higher throughput.)

适当选择辅助变量，使之满足相应条件，参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当，但辨识效果却比最小二乘法好的多。尤其当噪声是有色的，而噪声的模型结构又不好确定时，增广最小二乘法和广义最小二乘法一般都不好直接应用，因为他们需要选用特定的模型结构，而辅助变量法不需要确定噪声的模型结构，因此辅助变量法就显得更为灵活，但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)

basic dsge model in dynare

This code was used for making the practical measurements in section 2.3 of my thesis. This Matlab code allows an OFDM signal to be generated based on an input data file. The data can be random data, a grey scale image, a wave file, or any type of file. The generated OFDM signal is stored as a windows wave file, allowing it to be viewed, listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data. This code was developed for the experiments that I performed in my honours thesis, and thus has not been fully debugged. This is the original code developed for the thesis and so has several problems with it. The BER performance given by the simulations is infact Symbol Error Rate. (This code was used for making the practical measurements in section 2.3 of my thesis. This M atlab code allows an OFDM signal to be generated based on an input data file. The data can be rando m data, a gray scale image, a wave file, or any type of file. The OFDM signal is generated stored as a windows wave file, allowing it to be viewed. listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data . This code was developed for the experiments th at I performed in my honors thesis, and thus has not been fully debugged. This is the original code developed for the thesis and so ha 's several problems with it. The BER performance given by the simulations is infact Symbol Error Rate.)

配对交易和算法交易模拟交易示例，matlab环境下相应的M文件(Pairs trading and algorithmic trading simulated trading example, the M-file in the Matlab environment)

说明：  智能微电网中利用粒子群算法实现微电网多目标优化(Multi-objective optimization of microgrid based on Particle Swarm Optimization in smart microgrid)

说明：  ofdm降低分均比的仿真，不吝指教，可能程序有疏漏之处，见谅

image watermarking using adaptif methode at RGB image using matlab...

升cosine窗加权的波束方向图：N=11(Raised cosine weighting function)