面向MATLAB工具箱的神经网络理论与应用_10206284

多变量频域设计 绘制逆奈奎斯特曲线的函数的改进(multivariate frequence)

说明：  使用快速傅里叶逆变换，分析离散时间信号中频率分辨率和信号的样本数之间的关系，并通过不同的滤波器进行对比。(The relationship between the frequency resolution and the number of samples in the discrete-time signal is analyzed by using the inverse fast Fourier transform, and compared by different filters.)

Matlab 符号运算是通过集成在 Matlab 中的符号数学工具箱（Symbolic Math Toolbox） 来实现的。和别的工具箱有所不同，该工具箱不是基于矩阵的数值分析，而是使用字符串来 进行符号分析与运算。实际上，Matlab 中的符号数学工具箱是建立在 Maple 基础上的，当 进行 Matlab 符号运算时，它就请求 Maple 软件去计算并将结果返回给 Matlab。(Matlab symbolic operation is integrated in the Matlab Symbolic Math Toolbox (Symbolic Math Toolbox) to achieve. And different from other toolbox, the toolbox is not based on numerical analysis matrix, but use a string for symbolic analysis and calculation. In fact, Matlab' s Symbolic Math Toolbox is built based on Maple, Matlab symbolic computation to the time when it requests Maple software to calculate and return results to Matlab.)

Energy Efficient Distributed Kalman Filter for Wireless Sensor Networks

说明：  傅里叶变换能将满足一定条件的某个函数表示成三角函数（正弦和/或余弦函数）或者它们的积分的线性组合。利用傅里叶变换可对语音信号消噪。(ourier transform to meet certain conditions can be expressed as a function of trigonometric functions (sine and/or cosine functions), or their integral linear combination. Fourier transform to denoising the speech signal.)

该软件利用Matlab的GUI功能,设计了一个人机交互界面,通过输入相应的参数来计算相应数据,在界面上即时显示相应的矩形和圆波导的场分布图,并可以根据需要进行电场和磁场的单独显示.(The software uses Matlab' s GUI functions, designed a human-machine interface, by entering the appropriate parameters to calculate the corresponding data, real-time display in the interface of the rectangular and circular waveguide the corresponding field distribution, and can be electric and magnetic fields as needed a separate display.)

Matlab工具箱应用,与很多工具箱的介绍，包括图片的处理。(Matlab toolbox application toolbox with many presentations, including image processing)

doa估计，即波达方向估计中的esprint算法，经过验证可以成功运行(doa estimation, estimation of DOA esprint algorithm can be run successfully, proven)

极大似然估计器用于简单通信系统模拟,估计A1,A2: s1 = x11*A1 + x12*A2 s2 = x21*A1 = x22*A2 r1 = s1 + n1 r2 = s2 + n2(Maximum likelihood estimator for a simple communication system simulation, it is estimated that A1, A2: s1 = x11* A1+ x12* A2 s2 = x21* A1 = x22* A2 r1 = s1+ n1 r2 = s2+ n2)

一些有关数值方法的matlab程序，对于拟合曲线有着一定的帮助(Matlab numerical methods for some of the procedures for the fitting curve with some help)