convex-optimization

this source code is eacpower matlab

Beginning a source photograph, this demo will create an image with a hand-painted appearance. It can do this in three distinct styles, Impressionist , Expressionist and Pointillist .

second-order Engquist-Majda ABC in an FDTD program for 2D-TMz.

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. */

在matlab环境下应用支持向量机做回归的使用实例(In the matlab environment support vector machine regression using examples do)

说明：  JPDA航迹关联算法，Matlab代码，方便初学者学习(JPDA track association algorithm, matlab code, easy for beginners to learn)

integrated photonics ebook

说明：  ml detection mimo good

preprocessing of ECG signal for wave detection

The demand of high data rate services has been increasing very rapidly and there is no slowdown in sight. We know that the data transmission includes both wired and wireless medium. Often, these services require very reliable data transmission over very harsh environment. Most of these transmission systems experience much degradation such as large attenuation, noise, multipath, interference, time variance, nonlinearities and must meet the finite constraints like power limitation and cost factor. One physical layer technique that has gained a lot of popularities due to its robustness in dealing with these impairments is multi-carrier modulation technique. In multi-carrier modulation, the most commonly used technique is Orthogonal Frequency Division Multiplexing (OFDM)