radial_Power_flow

《matlab编程百例》光盘代码21-25("Matlab programming hundred cases" CD-ROM code 21-25)

说明：  讲解berkley套接字的详细知识，并结合有详细的例子对套接字的应用做了充分阐释(Detailed knowledge to explain berkley sockets, combined with detailed examples of the application of the socket to do a full explanation)

介绍LIBSVM的函数，主要是FRUTO的改进版本的LIBSVM(introduce libsvm function)

说明：  基于双耦合Duffing振子的随机相位正弦信号检测 采用双耦合混沌振子阵列实现了随机相位微弱正弦信号的检测，在此基础上，提出了新的检测方法，即利用单个耦合混沌振子，通过临界及周期状态 的变化检测随机相位微弱正弦信号并大致估计信号相位范围，该方法比双耦合混沌振子阵列法简单，更易于实现。(Based on double coupled Duffing oscillators random phase sine signals detected by two coupled chaotic oscillator arrays to achieve a random phase weak sinusoidal signal detection, in this basis, the proposed new detection methods, namely the use of a single coupled chaotic oscillators, through the critical and the cycle random phase state change detection and generally weak sinusoid signal phase estimated the scope of the method than the two-coupled chaotic oscillators array method is simple and more easy to implement.)

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bfsk的调制部分，基于MATLAB平台。(the modulation of bfsk)

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )

本程序介绍了卡尔曼滤波器在雷达跟踪问题上的应用。通过对雷达测得的距离及方位角参数的估计和预测，较好地实现了雷达对目标的跟踪，说明卡尔曼滤波器在自主或协助导航领域中具有重要的现实意义。(This procedure describes the radar tracking Kalman filter in question on the application. Measured by radar distance and azimuth parameter estimation and forecasting, to better achieve the target tracking radar, indicating the Kalman filter in autonomous or assisted navigation has important practical significance.)

joint adaptive modulation and user scheduling scheme

2017年数学建模美赛B题模型，关于处理交通流的元胞自动机问题( 2017 mathematical modeling contest B problem model，Cellular automata for traffic flow )