rate_match

computer manual for Matlab in pattern classification

Dynamic_stiff to calculate the dynamic stiffness of beam in space using spectral element.

NSGA2仿真实例，可用于神经网络仿真测试(NSGA is a popular non-domination based genetic algorithm for multi- objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter. A modified version, NSGA- II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori. NSGA-II is discussed in detail in this.)

PPT for an IEEE paper "non-local means with dimensionality reduction and sure-based parameter selection"

说明：  均匀线性阵列 波束形成，Hamming加权/Chebychev加权(Uniform Linear Array beamforming ,Hamming/Chebychev Weighted)

说明：  模拟n束光束的干涉图像。可以是任意多束。偏振方向可以自己选取(Simulation of n-beam-beam interference image. Multi-beam can be arbitrary. Able to select the polarization direction)

随机信号通过4fsk调制经过瑞利衰落信道的误码率仿真(reilaign channel)

Time PID Controllers using FPGA

基于双闭环矢量控制的永磁直驱风电系统的并网模型，输出功率和直流电压波形理想(Grid- connected model of permanent magnet direct drive wind power system based on double closed- loop vector control and Output power and DC voltage waveform are ideal)

全称为Ensemble Empirical Mode Decomposition (集合经验模分解)(Wu and Huang, 2009)，是EMD（经验模分解）(Huang et al. 1998 Huang and Wu, 2008)的改进算法，有效的解决了EMD的混频现象。 (Called the Ensemble Empirical Mode Decomposition (a collection of empirical mode decomposition) (Wu and Huang, 2009), EMD (empirical mode decomposition) (Huang et al 1998 Huang, and Wu, 2008) improved algorithm, the effective solution of EMDmixing phenomenon.)