chaosyihuo

基于支持向量机回归的LS-SVM的matlab源码(Based on Support Vector Machine LS-SVM regression in matlab source)

This file describ the BFSK_rayleigh.

this simulation is based on capacity enhancement using waterfilling

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 .)

自己编的5种调制信号仿真：CPFSK,FM,AM,QPSK,SSB，希望对大家有用(Their series of 5 modulation signal simulation: CPFSK, FM, AM, QPSK, SSB, we hope to be useful)

Run Application =============== Windows: Doubleclick the BicAT_v2.2.jar file Linux: type ./run_linux to start the application. Solaris: type ./run_solaris to start the application. possible problems: ================== Make sure the environment variables are properly set! CLASSPATH (should be ok) LD_LIBRARY_PATH = ./lib/linux ./lib/solaris Sample Data Files ================= dataSample_1.txt - use offsets (1,1) (data are already logarithmized) dataSample_2.txt - use offsets (1,1) (Run Application =============== Windows: Doubleclick the BicAT_v2.2.jar file Linux: type ./run_linux to start the application. Solaris: type ./run_solaris to start the application. possible problems: ================== Make sure the environment variables are properly set! CLASSPATH (should be ok) LD_LIBRARY_PATH = ./lib/linux ./lib/solaris Sample Data Files ================= dataSample_1.txt- use offsets (1,1) (data are already logarithmized) dataSample_2.txt- use offsets (1,1) )

微网的经济运行研究_李乐，智能电网经济运行的多目标调度优化策略_英文_郑漳华，基于Matlab_Simulink的微型燃气轮机动态仿真研究_严志远向文国张士杰(Micro-economic research network run _ Lee, Multi-objective economic operation of smart grid scheduling optimization strategy _ English _ Zheng Zhang Hua, dynamic simulation based Matlab_Simulink microturbine _ Wen Guo Zhang Shijie to)

F16战斗机的飞行模糊控制器，在matlab环境下simulink中进行仿真(FUZZY CONTROL FOR F16 FIGHTER)

基于haar-like训练的人脸识别，在matlab中实现的，希望对大家有用。(Training based on haar-like face recognition, implemented in matlab, we want to be useful.)

根据系统的阶跃响应，计算时域性能指标（比如超调量、峰值、调节时间等）。(According to the step response of the system, calculate the time-domain performance indicators (such as overshoot, peak, adjust the time).)