yuqun

linefitting and curve fitting

the file get_PAT_PMT_PCR_add_NULL.rar can get MPEG2 ,PCR,same_PID_pcaket,PMT,PAT,add NULL packet,the file can help MPEG2(transport stream) user clean understand.(the file c get_PAT_PMT_PCR_add_NULL.rar get an MPEG2, PCR, same_PID_pcaket, PMT, PAT, add NULL packet, the file can help MPEG2 (transport stream) user clean understand.)

目标跟踪程序实现_对雷达采集的数据进行分析，然后得出目标的飞行轨迹，程序采用了卡尔曼滤波加当前统计模型(Target tracking procedures to achieve _ radar data collected for analysis, and then draw the target flight path, the program uses a Kalman filter plus current statistical model)

single phase induction motor with permanent capacitor in dq axis

To combat high PAPR, one intuitive solution is to adopt amplifiers to have larger trade-off range. However, these types of amplifiers are generally expensive and have low efficiency-cost, and therefore are of no practical use. On the other side, certain algorithms were introduced and been proved have a good performance of high PAPR reduction. Hence, in this thesis, some currently promising PAPR reduction methods are studied and compared. The performance of these reduction schemes are evaluated by using simulation software, Matlab. NUMERICAL PERFORMANCE EVALUATION OFPAPR REDUCTION TECHNIQUES IN MIMO OFDM WIRELESS COMMUNICATION SYSTEMS. Nice thesis paper with source code and simulation.

BPSO 二进制粒子群优化算法matlab源代码实现 (Binary particle swarm optimization algorithm)

光纤光栅 布拉格光纤光栅 长周期光纤光栅 相移布拉格光纤光栅 切趾布拉格光纤光栅 取样布拉格光纤光栅(Fiber Bragg Grating FBG long-period fiber grating phase-shift FBG Fiber Bragg Grating apodization sampling Fiber Bragg Gratings)

异步电动机数量控制完整仿真模型，可以根据实际情况写该参数，达到研究者所需要的情形(The number of complete induction motor control simulation model, the parameter can be written according to the actual situation, the researchers needed to achieve the situation)

该代码是求解分数阶线性常微分方程的代码，但是输入有限制(This function solves linear fractional-order differential equation)

卡尔曼滤波算法，通过实例介绍其功能，目的更好地了解此滤波算法(Kalman filter algorithm, introduced through examples of its functions, to better understand the purpose of this filtering algorithm)