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现代通信系统使用matlab文档+程序，可以对matlab中的通信模块有一定的认识。( the documentation and program Of modern communication systems with matlab, you can understand the communication module in matlab.)

matlab source of alpha stable distribution s pdf,cdf, parameter estimation (alpha stable distribution s pdf,cdf, parameter estimation )

g.722 code for speech compression

This script can be used to control motors connected to Roboteq motor controller

该算法在原有的算法基础上提出的TDOA泰勒算法，可以用在传感器定位和蜂窝网定位。且该算法的定位精度比较高。(The algorithm is based on the original algorithm proposed TDOA Taylor algorithm can be used in sensor positioning and cellular location. And the algorithm is relatively high positioning accuracy.)

这是一个LDA主题模型的matlab代码，可进行中文模糊聚类分析，内涵说明，可直接使用。(This is a topic LDA model matlab code, can be Chinese fuzzy clustering analysis, meaning that can be used directly.)

OFDM频偏估计优化算法代码，次代码文章是2007年硕士毕业优秀论文，具有很高的参考价值。(OFDM Offset Estimation Algorithm optimization code, sub-article code is 2007 graduate Master of excellent essays, have a very high reference value.)

通過改變調製指數SDM和DDM的可以改變和測試通常使用在ILS (Instrument Landing 系統內)可以隨著改變SDM和DDM來看出它的種種特性 (Program to find SDM (Sum Depth of modulation)and DDM (Difference depth of modulation)Used in ILS (Instrument Landing System) Created by:Ashwini Deshpande, )

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

检测心电. 输入为ECG的时域的数字离散化序列,输出检测到的R波数量,绘制.(detection of ECG.)