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最优化实验，用的是MATLAB，题目不是很难主要是练习用，学会对实际问题进行数学抽象。 掌握常用的最优化算法。 运用相关数学软件设计程序进行求解。 (optimization experiments, using the MATLAB, the main topic is not difficult to practice with. learn to practical issues abstract mathematics. Master of the most commonly used optimization algorithm. Related to the use of mathematical software for the design process.)

用matlab对信号进行WVD变换和伪wvd变换(Using matlab for signal conversion and pseudo-WVD transform wvd)

fundamental of wireless communication pdf

The document contains instructions to learn matlab better. People utilizing matlab as a tool for simulation,will get benefit from it.

hurst指数计算宏,计算简单,效率较高(Hurst index macros, computing simple, efficient)

matlab中用打靶法求解常微分方程组的两点边值问题(shooting method for bvps)

Bayesian Vector Autoregression using Bayesian estimation method

基于MATLAB的锅炉液位控制系统，采用模糊控制(MATLAB-based boiler level control system using fuzzy control)

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. */

Subcarrier Allocation in a Multiuser MIMO Channel Using Line(Subcarrier Allocation in a Multiuser MIMO Channel Using the Line)