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基于Matlab的LDPC码的研究，讲的很好，可以下载看看那(MATLAB ldpc )

kmeans均值聚类算法:一种改进的基于半监督聚类的入侵检测算法ASCID（Active-learning Semi-supervised Clustering Intrusion Detection），(kmeans clustering algorithm Algorithm was simulated by KDD 99 datasets， which the experimental results demonstrate that ASCID algorithm can improve the detection rates and low the false positive rates of the algorithm, and confirm the feasibility and validity of the algorithm.)

使用MATLAB软件将三维图转化为二维图形实现。(Using the MATLAB software to three-dimensional images into two-dimensional graphics to achieve.)

说明：  ADF单位根检验engel-granger test用MATLAB做的(ADF unit root test engel-granger test done using MATLAB)

This is a simple sample of crypto

画运动矢量的好例子。用matlab实现 画运动矢量的好例子。用matlab实现(Painting a good example of motion vector. Using matlab to achieve a good example of motion vector drawing. Achieved using matlab)

本程序运用一阶扰动理论自适应特征值方法的跟踪信号子空间，然后运用ESPRIT算法 跟踪信源的时变DOA(this matlab code(program) apply the First-Order Perturbations trak the signal subspace and eigenvalues,and then perform the time-variant or time-invariant DOA through the subspace tracked via the First-Order Perturbations with ESPRIT algrithm.)

这是一个关于公交调度的源程序代码，原题是2001年的b题公交调度问题。(Bus Dispatch)

basic ofdm with interlever: The transmitter section converts digital data to be transmitted, into a mapping of subcarrier amplitude and phase. It then transforms this spectral representation of the data into the time domain using an Inverse Discrete Fourier Transform (IDFT). The Inverse Fast Fourier Transform (IFFT) performs the same operations as an IDFT, except that it is much more computational efficiency, and there is used in all practical systems. In order to transmit the OFDM signal the calculated time domain signal is then mixed up to the required frequency.

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. */