multiobjective-optimization-problem

在simulink基础上搭建的OFDM系统的仿真框图，可以设置具体参数(Based on the built in simulink OFDM system simulation block diagram, you can set specific parameters)

OFDM正交频分复用程序...对于初学者很有帮助 (OFDM Orthogonal Frequency Division Multiplexing procedures for beginners helpful ...)

another file simulation in simulink

自用KEAMS，简单，代码清晰,基本满足要求(self-use keams code,simple)

Plays piano music in matlab

comp_snr.m总体和节段SNR，comp_wss.m加权频谱斜率度量，omp_llr.m似然比测量，comp_is.m板仓斋藤措施，comp_cep.m倒谱距离测量，addnoise_asl.m 基于活动语音水平以指定的SNR将噪声添加到干净的信号 (comp_snr.m Overall and segmental SNR，comp_wss.m Weighted-spectral slope metric，comp_llr.m Likelihood-ratio measure ，comp_is.m Itakura-Saito measure，comp_cep.m Cepstral distance measure，addnoise_asl.m Adds noise to the clean signal at specified SNR based on active speech level. )

暴强Dijkstra算法求任意两点间最短路径(matlab程序)，一种求最大流的程序(Floyd shortest path algorithm MATLAB program, graph theory algorithms very practical)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

本程序设计了一个最佳升余弦滚降系统，包括输入输出信号的波形、功率谱、眼图和系统误码率曲线(This procedure is designed or one of the best cosine roll-off system, including input and output signal waveform, power spectrum, eye diagram and BER curves)

MIMO OFDM based codings for their resource allocation.