方波发生器

多极性码的编程及仿真，有详细的说明文件 有仿真波形(multi-polarity of programming code and simulation, a detailed description of a simulation waveforms)

Interacting MIMO without decoupling

一篇带约束条件的基于多播QOS多目标算法的论文。(Constraints QoS Multicast Routing Based on MOEA)

QR二维码精定位，通过探测三个位置探测图形获得三个坐标，定位准确率90%左右。(QR code precise positioning, through the detection of 3 position detection patterns and then get 3 points, the recognition accuracy is about 90%.)

source code that compare the capacity in Equal power and waterfilling scheme of power allocation in iid channel model.

说明：  正交频分复用的调制解调：实现了mb-ofdm的基带超宽带信号调制解调(Orthogonal frequency division multiplexing of the modulation and demodulation: the mb-ofdm of base-band ultra-wideband signal modulation and demodulation)

主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目 (Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables)

this is an matlab code for acoustic echo cansellation

SNE降维算法，应用于多个合成数据集 显示降维效果(SNE dimensionality reduction algorithm is applied to reduce dimensionality in multiple synthetic datasets)

在基于Mean-Shift的目标跟踪算法中，尺度自适应机制是算法研究的一个重要方向。一种典型的方法采 用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2．D矢量压缩为1一D量，未能精细地 刻画目标仿射变换时的尺度变化，从而限制了算法的适用范围。为此，该文将尺度维1．D滤波推广至2一D，构造得 到了相应的垂D尺度空间，并利用窄间维和尺度维的Mean-Shift交替迭代，实现了同时在空间位置和尺度方向对 目标的有效跟踪，提高了算法在目标尺度变化时的自适应性，并扩大了算法的适用范围。 关键(Scale adaptive mechanism in the target tracking algorithm based on Mean-Shift algorithm is an important direction of research. A typical method using Lindeberg' s scale space theory to obtain the target scale. However, the existing algorithms will scale from 2. D vector compression for 1-D volume, not fine to portray the target affine transformation of scale changes, thus limiting the scope of application of the algorithm. To this end, the paper will scale dimension. D filter to the 2-D structure has been the vertical D scale space and the use of narrow inter-dimension and scale dimension of the Mean-Shift alternating iteration, effective tracking of the target position in space and scale direction to improve the self-adaptive algorithm when the target scale changes, and to expand the scope of application of the algorithm. Key)