MATLABExample

说明：  本文通过对目前常用的现代谱估计方法一一最大墒谱估计方法中的谱 峰幅度和谱线分辫率两个基本问题的分析和讨论，和经典的傅立叶谱估计方法作比 较，指出在最大墒谱估计方法的应用中应注意的几个问题。 (Based on the currently used modern spectral estimation method 11 method of maximum entropy spectral estimation of the spectral peak amplitude and spectral resolving power are two basic problems of analysis and discussion, and the classical Fourier spectrum estimation methods for comparison, that the maximum Application of entropy spectral estimation method should pay attention to several issues.)

基于matlab 的ofdm 通信系统的建模仿真。包括 为有效传输所需的各种技术的实现！(Based on the matlab ofdm communication system modeling and simulation. Including the effective transfer of technologies needed to achieve!)

用于混合整数的非线性规划，非线性规划的几个程序，用于混合整数的计算(A formal nonlinear programming for mixed formal nonlinear programming is used for mixed formal nonlinear programming)

利用MATLAB绘制等温线，以湖南省为例，绘制了省界，97县的位置以及等温线。(plot temperature contour through MATLAB.)

this code accurately detects the images

鉴于网上合成孔径雷达的资料比较少，上传一些老师给的文献资料，希望对大家有帮助(Given the online synthetic aperture radar data is relatively small, upload some literature teacher, I hope to help everyone)

matlab经典算法，包括各种方程的例子(matlab classic algorithms, including various examples of equations)

this is the function of the the differential of equation that program the modeling

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

matlab6.5的源代码，包含了所有实例的源代码，请多多支持！！(matlab6.5 source code, contains all instances of the source code, a lot of support! !)