cnv_encd

异步电机矢量控制仿真模型，比较基本，已通过测试，完全好用。(Vector control induction motor simulation models, more basic, has been tested to be fully useful.)

QPSK调制与解调在matlab平台上的实现。能以图形的方式显示其工作过程以及计算相应的误码性能。(QPSK modulation and demodulation in Matlab platform is realized. In a graphic display of their work process and the corresponding calculation of the error rate performance.)

用matlab实现非相干信号music算法的DOA估计(Using matlab to achieve non-coherent signal music algorithm for DOA estimation)

这是基于观测器的DMC算法，可以和GPC算法进行比较，控制效果不输GPC算法(This is the DMC algorithm based on observer , and it can be compared with GPC algorithm ,it s control effect is better than GPC algorithm)

Practical Experiment for Discharging a capacitor in MAtlab

Vehicular Networks From Theory to Practice .. It is a full book for STEPHAN OLARIU and MICHELE C. WEIGLE .. 2009 .. CRC Press

认知无线电中的重要技术的仿真应用 放大数据仿真值 AM FM(failed to translate)

lisu misu fisu analysis

Cubic interpolate on a track (such as a typhoon track), accounting for a possible crossing of the antemeridion (180 deg longitude).

Ant Colony Optimization (ACO) is a paradigm for designing metaheuristic algorithms for combinatorial optimization problems. The first algorithm which can be classified within this framework was presented in 1991 [21, 13] and, since then, many diverse variants of the basic principle have been reported in the literature. The essential trait of ACO algorithms is the combination of a priori information about the structure of a promising solution with a posteriori information about the structure of previously obtained good solutions.