matlabKalman

说明：  多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。(Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard problems, this paper, hybrid particle swarm algorithm to solve multi-objective problem loading cargo. Hybrid Particle Swarm Algorithm in elementary particle swarm optimization based on genetic algorithm through the introduction of crossover and mutation of the strategy to avoid a fall into local optimum, global optimum to achieve accelerated convergence. In addition, this paper, the weight factor used to balance the various objectives so that the objectives can be achieved relatively better results.)

这是Mann－kendall趋势检验和sen斜率估计的matlab实现的源代码，与大家共享！(This is the Mann-kendall trend test and the estimated slope sen achieved Matlab source code and share!)

说明：  禁忌（Tabu Search）算法是一种亚启发式(meta-heuristic)随机搜索算法，它从一个初始可行解出发，选择一系列的特定搜索方向（移动）作为试探，选择实现让特定的目标函数值变化最多的移动。为了避免陷入局部最优解，TS搜索中采用了一种灵活的“记忆”技术，对已经进行的优化过程进行记录和选择，指导下一步的搜索方向，这就是Tabu表的建立。(Tabu Search algorithm is a meta-heuristic random search algorithm. It starts from an initial feasible solution, chooses a series of specific search directions (movement) as a trial, and chooses to achieve the movement that makes the most changes in the value of a specific objective function. To avoid falling into local optimum, TS search uses a flexible "memory" technology to record and select the optimization process that has been carried out, and to guide the next search direction, which is the establishment of Tabu table.)

基于四级四阶龙格库塔算法的MEMS IMU数据的捷联姿态解算(SINS solve)

MIMO符号速率变化设定仿真，主要针对OFDM调制(MIMO symbol rate change settings)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

Code Barcode , with component

matlab的课件。非常不错。总共分为7部分 ()

BFGS optimization algorithm

DS_CDMA通信系统matlab源程序，需要的下吧(DS_CDMA communications systems Matlab source, it needs under)