smart-antenas

通信系统中基于MATLAB的关于非线性滤波器的仿真程序(MATLAB-based communication system on the non-linear filter simulation program)

matlab programming..........................

Photonic crystals are attractive optical materials for controlling and manipulating the flow of light. One dimensional photonic crystals are already in widespread use in the form of thin-film optics with applications ranging from low and high reflection coatings on lenses and mirrors to colour changing paints and inks. Higher dimensional photonic crystals are of great interest for both fundamental and applied research, and the two dimensional ones are beginning to find commercial applications. The first commercial products involving two-dimensionally periodic photonic crystals are already available in the form of photonic-crystal fibers, which use a microscale structure to confine light with radically different characteristics compared to conventional optical fiber for applications in nonlinear devices and guiding exotic wavelengths. The three-dimensional counterparts are still far from commercialization but may offer additional features such as optical nonlinearity require

euler algorithm with matlab

根据二阶矩原理计算给定图像的二阶矩，也就是图像的中轴线(According to principles calculation of second moment second moment given image, that is the image of the central axis)

用窗函数设计FIR 并用lattice实现滤波~！！！(fir)

非常有名的捕食者算法Matlab+C 可进行目标定位(Very well-known predator algorithms Matlab+C)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

James H. Stapleton - Models for Probability and Statistical Inference - Theory and Applications

this program will help you to perform spectral estimation using different algorithms such as spectogram