adaptivehuffman.m.tar

给出了利用OFDM实现uwb的源代码及实例(Using OFDM to achieve given the source code and examples uwb)

2011年美国大学生数学建模二等奖获得者B题参考程序(2011 American Mathematical Modeling Award winner Problem B reference program)

说明：  本程序验证了通信原理中的自然抽样定理，包含源码与结果(The communication principle is verified in the natural sampling theorem, including source code and results)

这是目标作机动时,卡尔曼滤波模型采用singer模型的matlab 程序.(This is the goal for mobility, Kalman filtering model using the Matlab model singer procedures.)

各种数据拟合的程序，对初学者很有用。可以做各种图(A variety of data fitting procedure, useful for beginners.)

AHP层次分析法源代码，最大程度简化您的计算量(AHP Analytic Hierarchy Process source code, the maximum extent simplify your calculations the amount of)

Economic dispatch is the short-term determination of the optimal output of a number of electricity generation facilities, to meet the system load, at the lowest possible cost, subject to transmission and operational constraints. The Economic Dispatch Problem is solved by specialised computer software which should honour the operational and system constraints of the available resources and corresponding transmission capabilities. In the US Energy Policy Act of 2005 the term is defined as the operation of generation facilities to produce energy at the lowest cost to reliably serve consumers, recognising any operational limits of generation and transmission facilities.

群机器人精确定位，使用航位推测法及WSN进行定位，卡尔曼滤波进行数据融合，最终获得精确的定位结果。(precise localization of swarm robots)

Support vector machine is a machine learning method that is widely used for data analyzing and pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to helping understand the concept of support vector machine and how to build a simple support vector machine using Matlab

用impz()函数求冲激响应：用filter()函数求冲激响应 用filter()函数求余弦输入响应：用conv()函数求余弦响应：(With impz () Function Impulse Response: The filter () function used for impulse response filter () Function Cosine input response: The conv () Function Cosine response:)