kmeansaa

orthogonal variable spreading factor (OVSF) is an implementation of Code division multiple access (CDMA) where before each signal is transmitted, the spectrum is spread through the use of a user s code. User s codes are carefully chosen to be mutually orthogonal to each other. These codes are derived from an OVSF code tree, and each user is given a different, unique code. An OVSF code tree is a complete binary tree that reflects the construction of Hadamard matrices.

车牌识别，识别准确率不高，但是可用，适合初学者探索matlab之用。(License plate recognition, recognition accuracy is not high, but is available for beginners to explore the use of matlab.)

贝叶斯程序。。。。。。。。。。。。。贝叶斯程序贝叶斯程序(NaiveBayes1.m)

Operations research: an introduction By: Hamdy A. Taha

Queues simulation in SimEvents

光束合成相干仿真器，模拟两个光束在空气中传播并相干，可进行参数设定。(Coherent beam combiner simulator to simulate the propagation and the two coherent light beams in the air, the parameters can be set.)

This is a introduction of the convergence analysis of the particle filter.

擅 蔓：以人脸的表情识别为实验背景， 分析了在对人脸表情的识别过程中，单个独立分薰对识别率的影响，由此进一步总结了在表情识 别中如何更有效地选取独立子空间，以实现在不影响识别率的前提下，减少用于构成独立子空问所需的独立分量的个数。 独立成分分析；表情识别；独立子空间 (Good man: Face to face identification for the experimental background, the analysis of facial expressions in the identification process, a single smoked separate the impact of the recognition rate, thus further summarized in the expression recognition of how to more effectively select the independent sub-space in order to achieve the recognition rate does not affect the premise, for constituting a separate sub-reducing space required for the number of independent component. Independent component analysis expression recognition independent subspace)

国外蜂群算法（Artificial Bee Colony Algorithm ,ABC）源码，已通过测试。 (Foreign colony algorithm (Artificial Bee Colony Algoriithm, ABC) source complete source code, has been tested. )

第一步是计算输人信号单边功率谱密度（ESD）。使用快 ％速傅里叶（FFr）算法将信号从时域转换到频域。因为FFr算法的输出是离散谱，而这 ％里我们需要的是连续谱，因此需要引人不同的比例因子来实现从离散谱到连续谱的转换。 ％在第二步中，我们利用迭代算法计算出相对于特定阂值的ESD的最高和最低频率，从而 ％估算出被检测信号所占用的带宽。这种算法同时适用于基带信号和已调制信号。最后， ％在第三步中，我们给出了输出图形的原代码。(The first step is calculating the input signal unilateral power spectral density (ESD). The use of fast Fourier speed (FFr) algorithm for the signal conversion from time domain to frequency domain. FFR algorithm because the output is a discrete spectrum, which we need is a continuous spectrum, so the need for food of different scale factor to achieve from the discrete spectrum to continuous spectrum conversion. In the second step, we use iterative algorithm to calculate a specific threshold in relation to the ESD of the highest and lowest frequency, thus estimated to be occupied by the signal detection bandwidth. This algorithm applies to both baseband signal and modulation signals. Finally, in the third step, we give the graphical output of the original code.)