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Pattern
波束形成的一些程序
极坐标下的
有圆阵和线阵(Beamforming polar coordinates some of the procedures under the circular array and have linear array)
- 2008-05-08 19:12:20下载
- 积分:1
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Compute
An Antenna is a transducer, which converts electrical power into electromagnetic waves and vice versa.
- 2020-06-24 23:31:07下载
- 积分:1
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vad
说明: 利用短时能量和短时过零率的语音端点检测算法(Short-term energy and zero crossing rate of the voice activity detection algorithm)
- 2010-04-13 15:38:55下载
- 积分:1
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Polynomial
说明: 多项式插值的matlab程序 多项式插值的震荡现象(Polynomial interpolation matlab program)
- 2010-04-19 12:21:35下载
- 积分:1
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boost_introduction
《Boost程序库探秘:深度解析C++准标准库》深入探讨了其中的许多重要组件,包括迭代器、函数对象、容器、流处理、序列化以及C++语言中最复杂最具威力的模板元编程。(" Boost library Quest: C++ quasi-depth analysis of the standard library" deeply explored many of the important components, including iterators, function objects, containers, stream processing, sequencing, as well as the most complex language C++ most powerful template meta-programming.)
- 2014-12-09 16:26:52下载
- 积分:1
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拉丁超立方代码
说明: 拉丁超立方采样包括还有约束和没有约束的两种。(Latin hypercube sampling includes both constrained and unconstrained sampling.)
- 2021-04-27 09:48:44下载
- 积分:1
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PIDsim26012018
说明: machine arm PID Iterative learning control(machine arm PID Iterative learning control)
- 2020-06-19 14:14:38下载
- 积分:1
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NSGA-II
说明: 通用NSGA2程序,里面有详细的注释,亲测可用(General NSGA2 program, which has detailed notes, pro test available)
- 2021-01-29 16:27:14下载
- 积分:1
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Algorithm_of_Karge_Thompson
Karge Thompson算法的MATLAB源程序。(The algorithm of Karge Thompson is a heuristic algorithm that allows to obtain, given a specific group of jobs to be produced, the best sequence in terms of time
setup.
)
- 2009-11-16 22:32:52下载
- 积分:1
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LMS
最小均方(LMS)自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的,依据输入信号在迭代过程中估计梯度矢量,并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法,其显著的特点是它的简单性。这算法不需要计算相应的相关函数,也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)
- 2008-05-26 12:05:15下载
- 积分:1