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李指数计算，该函数用来计算时间序列的最大Lyapunov 指数--Wolf 方法(Lee index calculation, the function is used to calculate the time series of the largest Lyapunov exponent- Wolf method)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

一种实现TDOA定位的算法源代码，chan算法。matlab程序，希望采纳。(An implementation TDOA location algorithm source code, chan algorithm. matlab program, hope to adopt.)

随机演化博弈的案例代码，文档有具体的方程，代码直接运行，简单易懂(Random evolution game case code, the document has a specific equation, the code runs directly, easy to understand)

说明：  matlab作业练习，大家研究下，初学者会受益的(matlab operating practice, we study, the beginner will benefit)

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. )

这个程序是用matlab绘画三角阵位置和三角阵列接收信号数据的功率密度函数(This program is a triangular matrix using matlab painting has been in matlab run)

多目标环境下 统一数据恒虚警 五种方法 仿真图(Multi-target environment unified data CFAR five methods simulation map)

说明：  数据分析(Python language learning data analysis)

说明：  这是衰减子程序，用来进行信号的衰减的自程序(This is the attenuation subroutine, used to signal attenuation from the procedures)