base-paper

说明：  ：Mean—shift算法是一种非参数密度估计算法，可以实现快速的最优匹配，在目标的实时跟踪领域起着非常 重要的作用。为了有效的将Mean—shift算法应用到灰度图像中，采用了以方向直方图建立目标模型的策略，提出了在灰 度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明，该算法具有不受光照条件影响的优点，在低对比度的情 况下仍能实现稳定、实时的跟踪目标。(: Mean-shift algorithm is a nonparametric density estimation algorithm, the optimal matching can be fast, real-time tracking fields in the target plays an important role. In order to effectively Mean-shift algorithm will be applied to the gray image, the histogram used to establish the direction of the strategy target model is proposed in the gray image to Mean-shift tracking algorithm as the core. Experimental results show that the algorithm has the advantage of not lighting conditions, in the case of low contrast can still achieve stability, real-time tracking of targets.)

这个matlab程序能够实现裁剪图像感兴趣区域，适合初学的。(The matlab program to achieve crop the image regions of interest for beginners.)

有限自动机问题。给你的模型。让你判断是否通过。。(Finite automata problem. To your model. Allows you to determine whether the pass. .)

This program print out all the number of partition of a Set, according to the input which indicates the number of objects in the set.

线性调频脉冲压缩的Matlab程序,用于建立主成分分析模型，最终的权值矩阵就是滤波器的系数，包括脚本文件和函数文件形式，与理论分析结果相比，可以动态调节运行环境的参数，可以得到很精确的幅值、频率、相位估计。( LFM pulse compression of the Matlab program, Principal component analysis model for establishing, The final weight matrix is ??the filter coefficient, Including script files and function files in the form, Compared with the results of theoretical analysis, Can dynamically adjust the parameters of the operating environment, You can get a very accurate amplitude, frequency, phase estimation.)

MATLAB排队模型，事实证明这是可行的时有一定的科学依据的(MATLAB query model)

本文为Stephen J.Chapman《MATLAB 编程（第二版）》英文影印版的中文译本，这本 书对初学者很好的入门教材。(The the Stephen J.Chapman MATLAB Programming (second edition) " The Chinese translation of the English photocopy edition, this book is good for beginners introductory textbook.)

说明：  uwb基础源码，包括uwb信号产生、各种调制方法、信号功率谱密度频谱特性、以及信道仿真等。(uwb basis of source, including uwb signal generator, various modulation methods, the signal power spectral density spectrum, and channel simulation.)

说明：  TFBSS是一种基于短时傅里叶时频分析的盲源分离算法，算法基于卷积混合。处理非平稳源信号。(TFBSS performs Blind Source Separation of (over)determined multiplicative mixtures of non-stationary real valued sources. TFBSS is based on the joint-diagonalization of whitened and noise-compensated Spatial Time-Frequency Distribution (STFD) matrices of the observations, corresponding to single auto-terms positions, as described in: C. Févotte and C. Doncarli. "Two contributions to blind source separation using time-frequency distributions", IEEE Signal Processing Letters, 2004. IEEE Signal Processing Letters, vol. 11, no. 3, Mar. 2004. pdf and A. Holobar, C. Févotte, C. Doncarli, and D. Zazula. "Single autoterms selection for blind source separation in time-frequency plane". In Proc. 11th EUSIPCO, Toulouse, France, 2002 (Special Session on Source Separation). pdf )

说明：  Bayesian Actor-Critic matlab example