SDALF_desc_CVPR10

How to implement Itreativ Learning Control(ILC) on a refrigerator.

菲涅尔区聚焦多波束天线空间谱估计性能分析(Fresnel zone focusing spectrum estimation performance of multi-beam antenna spatial analysis)

说明：  实验5_数字滤波器的应用 应用matlab设计数字滤波器 实现IIR和FIR的设计(Application of experimental 5_ application matlab digital filter design IIR and FIR digital filter design to achieve)

说明：  灰色理论预测的MATLAB与VC混编实现(Gray theoretical predictions of the MATLAB and VC achieved mixed)

Bloom效果(附代码), 很酷的一个效果，效率不算高。互相交流一下。看看吧！(Bloom effect (with code), a cool effect, efficiency is not high. Exchange about. Let' s see it!)

In parallel, the success of turbo codes has inspired new potentially ... Interference Cancellation (MMSE-IC) joint decoding receivers or turbo ... equalizer .... are stored on a hard drive and then processed using Matlab.

Matlab code for PSO for the testing of Unconstraints Optimization problem

径向基函数插值使用一系列基函数，它们在每个采样点对称且居中。径向基函数是一类特殊的函数，其主要特征是它们的响应与中心点的距离单调地减小（或增加）。中心、距离刻度和精确的形状是模型的参数。(Radial Basis Function interpolation with biharmonic, multiquadric, inverse multiquadric, thin plate spline, and Gaussian basis functions for Matlab/Octave. RBF interpolation uses a series of basis functions that are symmetric and centered at each sampling point. Radial basis functions are a special class of functions with their main feature being that their response decreases (or increases) monotonically with distance from a central point. The center, the distance scale, and the precise shape are parameters of the model.)

说明：  内含capon算法、求根music、谱估计music算法的简单举例。m文件格式，可直接运行，无错。(Capon includes algorithms, roots music, spectrum estimation of a simple algorithm, for example music. m file format, can be directly run, no mistakes.)

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. */