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Speech Enhancement Using Spectral Substraction

自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。(Self-organizing maps model (Self-Organizing feature Map), that a neural network to accept outside input mode, will be divided into different regions, the regional input modes have different response characteristics, while the process is done automatically . The connection weights of neurons with a certain distribution. Nearest neurons stimulate each other, while distant neurons are mutually inhibitory, with a further some of the weaker stimulus. Self-organizing feature map method is a clustering method without teachers.)

Heed protocal for ad hoc netork

Distribution system provides a final link between the high voltage transmission system and the consumers.To improve the overall efficiency of power system, the performance of distribution system must be improved. An important method of controlling bus voltage is by shunt capacitor banks at the buses at both transmission and distribution levels along lines or substation and loads

关于交通流量的仿真，利用matlab编写的元胞自动机的仿真程序！很好玩哦！很棒哦！(On the traffic flow simulation, matlab prepared using cellular automata simulation program! Oh is a lot of fun! Oh great!)

利用matlab进行图形的二维傅里叶变换(Using matlab graphical two-dimensional Fourier transform)

关于matlab语言与控制系统设计方面的一些例子(Some examples of the the matlab language with control system design)

说明：  Nakagami-m分布能用来对比瑞利分布条件更苛刻的衰落信道进行建模，最适合于郊区无线多径信道上接受的数据信号，瑞利分布是它 时的特例。(Nakagami-m distribution can be used to model fading channels with more stringent Rayleigh distribution conditions. It is most suitable for data signals received on suburban wireless multipath channels. Rayleigh distribution is its special case.)

计算机组成原理的实验报告，非常完整，一共二十多页，希望对大家有所帮助！(Computer organization lab reports, very complete, a total of more than 20 pages, we want to help!)

matlab要求编写函数，并画出图的matlab习题，供大家参考(prepared Matlab functions, and draws a plan of Matlab Exercise, for your reference! !)