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matlab入门经典教程--百看不厌,希望对大家有用(Getting Started tutorial matlab Classic- never lost their appeal and hope for all of us)

一个QAM的通信系统仿真，带时域均衡，误码率统计(a communications system simulation, with time domain equalization, error rate statistics)

tabe liapanuf linearing

包含matlab初学的一部分资料，适合入手时作为辅助资料使用(resource for news)

多址接入协议仿真——都可以运行仿真出图！(Multiple access protocol simulation)

simulation in matlab simulink of a pv array for solar energy conversion

说明：  matlab中值滤波函数，有效去除噪声干扰(Matlab median filter function, effectively remove noise interference)

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.

FSK调制与解调都有的详尽过程，并取点对误码率进行分析(FSK modulation and demodulation processes are detailed and take point on the bit error rate analysis)

以实际所测随机中子脉冲数据的自相关函数为研究对象，借助仿真实验，开展Elman神经网络对不同浓度核材料进行识别的研究。在实测数据的基础上，通过叠加随机噪声，模拟产生了不同浓度核材料的相关函数样本用于神经网络的训练与测试，实验结果表明，(Calculating the stochastic neutron pulse autocorrelation function with the actually measured data as the research object, we carry out different simulate experiments in concentration identification of varied nuclear materials using Elman neural network. Superimposing random noise on the measured data, we get correlation function samples simulating the different concentrations of nuclear material for training and testing the neural network.)