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SEP算法的MATLAB实现，在无线传感器网络中使用(SEP algorithm MATLAB implementation, in the use of wireless sensor networks)

说明：  本文利用模糊理论中的高斯隶属 度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可 信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获 得的结果比直接结果具有更高的精度和可靠性。(The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition shows that the results obtained have higher accuracy and reliability.)

介绍了simulink 构建BP神经网络模型(Introduced the BP neural network model building simulink)

exemple modeling pmsm simulink

分析比较FSK、MSK、GMSK的误码率性能(Analyse the BER performance of FSK, MSK, GMSK)

谱系聚类发 给定聚类点数可得到聚类中心 很好很强大(Hierarchical clustering distributed clustering fixed points can be obtained very powerful cluster centers)

dopasowanie rozkladu Laplace a

MATLAB实现循环码的编译码，信源为随机产生数，并且计算码间的汉明距离(MATLAB recycling code encryption, the source randomly generated number, and calculates the Hamming distance between the code)

用MATLAB语言实现的卷积码编码，维特比译码(With the MATLAB language implementation of the convolutional coding, Viterbi decoding)

计算BPSK在AWGN下得误码率。其中，设置高斯白噪声的功率为1，也即是归一化功率(calculate the BER of BPSK under AWGN channel)