matlab

sift的matlab实现代码，经典(sift the Matlab codes, classic!)

vc和matlab的混合编程，很好很全的(vc and matlab programming mix, full of very good)

是蛋白质二级结构优化（基于2维度非晶格模型）的优化代码，可直接运行，算法书写简单，高中生都能看懂。唯独一点，必须引用我们的两篇论文，否则算侵犯版权。( description : A self-organized matlab m file for protein structure optimization using 2D off-lattice model and ABC algorithm. Users MUST cite the following two articles if the codes are implemented in their studies (1) Li, B., Li, Y., & Gong, L. (2014). Protein secondary structure optimization using an improved artificial bee colony algorithm based on AB off-lattice model. Engineering Applications of Artificial Intelligence, 27, 70-79. (2) Li, B., Gong, L., & Yao, Y. (2013, October). On the performance of internal feedback artificial bee colony algorithm (IF-ABC) for protein secondary structure prediction. In Advanced Computational Intelligence (ICACI), 2013 Sixth International Conference on (pp. 33-38). IEEE.)

为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)

盲源分离EASI算法，一种简单的盲源分离算法，容易实现(Blind source separation of EASI)

trust region method optiomizatiom method

ADC的fft测试，包括几个小的MATLAB程序(Fft simulation of the ADC)

基于MATLAB的信号处理，经过脉冲压缩时加窗与不加窗对比以及分析。(MATLAB-based signal processing, after pulse compression and non-add window add contrast as well as the analysis window.)

BUCK的simulink开环程序，有兴趣的可以看一下 (buck open loop perform)

％ PURPOSE : Demonstrate the differences between the following ％ filters on a simple DBN. ％ ％ 3) Particle Filter (PF) ％ 4) PF with Rao Blackwellisation (RBPF)( PURPOSE: Demonstrate the differences between the following filters on a simple DBN. 3) Particle Filter (PF) 4) PF with Rao Blackwellisation (RBPF))