vedic_Code

matlab编写的动态主成分分析特征提取 实验有效(matlab dynamic principal component analysis prepared by the Feature Extraction effective)

Bacteria foraging algorithm for optimisation of anything...

交流BUCKBOOST拓扑的MATLAB仿真 (AC_BUCK_BOOST )

experimetal code for meshfree exponential integrators

粒子群算法是一种新的模仿鸟类群体行为的智能优化算法，描述了基本粒子群算法和改进粒子群算法的原理。(Particle swarm optimization (pso) algorithm is a kind of new imitate birds swarm behavior of intelligent optimization algorithm, describes the basic principle of particle swarm optimization (pso) algorithm and improved particle swarm algorithm .)

turbo码的matlab仿真程序，可以参考看看，希望对您有用(turbo codes matlab simulation program, you can reference to see the hope that useful to you)

The Seismic Unix Project is partially supported by the CWP Consortium Project. In the past, the Seismic Unix Project has received partial support from the Gas Research Institute (GRI) and the Society of Exploration Geophysicists Foundation.

仿真程序用于实现DS-CDMA通信系统的仿真(Simulation simulation program for implementing the DS-CDMA communication system)

交流位置伺服系统因其存在参数时变、负载扰动以及电机的非线性等缺点， 很难为其建立准确的模型. 模糊（ fuzzy）控制具有无需建立被控对象的数学模型、鲁棒性好等 优点，但稳态精度差. 将模糊控制和PID 控制相结合，设计了Fuzzy-PID 双模控制器. 在论域内 用不同的控制方式分段实现控制，这样就综合了模糊控制和PID 控制的优点，克服了各自的缺 点. 该控制器结构简单、易于实现. 在半闭环交流位置伺服系统上所做的实验表明，采用Fuzzy- PID 双模控制器与采用经典PID 控制器相比，阶跃响应的调整时间减少了33. 7 ，并且无超 调，轨迹跟踪误差减小了47. 2 .(AC servo system because of the presence of parameter variations, load disturbances and non-linear motors and other shortcomings, it is difficult to establish accurate models for fuzzy (fuzzy) control without having to build a mathematical model of controlled object, robustness and good However, steady-state accuracy is poor. fuzzy control and PID control are combined to design a dual-mode Fuzzy-PID controller in the sub-region to achieve control on the different control methods, so that a combination of fuzzy control and PID control advantages to overcome their disadvantages. simply the controller structure, easy to implement. experiments on semi-closed loop AC servo system did show that the Fuzzy-PID controller is compared with the classic dual-mode PID controller, step response The adjustment time is reduced by 33.7 , and no overshoot, tracking error is reduced 47.2 .)

广义Tikhonov正则化及其正则参数的先验选取(Generalized Tikhonov Regularization and Prior Selection of Regular Parameters)