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LS
OFDM系统中信道估计基于LS改进算法--基于DFT的信道估计算法实现(LS channel estimation in OFDM system based on the improved algorithm based on DFT channel estimation algorithm
)
- 2020-07-05 19:28:58下载
- 积分:1
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kalman
GPS 导航定位系统卡尔曼滤波
假定船舶向某固定方向航行,以港口码头的出发处为坐标原点。
假定船舶在二维平面上运动,初始位置为(-100m,200m),水平运动速度为 2m/s,
垂直方向运动速度为 20m/s,GPS 接收机的扫描周期为 T = 1s,观测噪声的均值
为 1,方差为 100。
采用卡尔曼滤波跟踪船舶航行轨迹。
1、绘出真实轨迹、观测轨迹、滤波后轨迹
2、滤波前误差、滤波后误差(Calman filtering of GPS navigation and positioning system)
- 2020-06-26 16:40:01下载
- 积分:1
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fsk
基于matlab 的fsk传输系统的仿真程序 包括性能分析,误差计算等(The fsk transmission system based on matlab simulation program, including performance analysis, error calculation)
- 2010-06-18 14:56:52下载
- 积分:1
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OFDM
这是我们课程设计时所写的一个OFDM系统仿真程序,OFDM系统仿真.doc是我当时写的设计报告。(This is our curriculum design of a OFDM systems written of the OFDM systems simulation. When I was writing doc design reports.)
- 2009-03-24 17:08:35下载
- 积分:1
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ZJZXEC
在matlab中编程实现的正交多项式最小二乘拟合函数,调用格式:a=zjzxec(x,y,m)(In the matlab programming in the orthogonal polynomial least squares fitting function, call format: a = zjzxec (x, y, m))
- 2020-12-19 22:09:10下载
- 积分:1
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GaussianChirplet
一种改进的方法,自适应的高斯chirplet分解信号,文章很深入的讲解了退到过程。(a fast refinement for adaptive gussian chirplet decoposition)
- 2009-04-08 21:14:23下载
- 积分:1
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event_spike
This code is about designing of synthetics seismic data.
- 2009-11-13 03:33:31下载
- 积分:1
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chengxu-matlab
最小二乘法lsqcurvefit拟合载流子的迁移率(The least squares method lsqcurvefit fitting carrier mobility)
- 2012-04-23 16:29:41下载
- 积分:1
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MATLAB_reveal_add2
matlab揭秘的附件,
带图带源码文件,456章(the matlab Secret Annex, band diagram with source code files, 456)
- 2012-12-01 12:22:42下载
- 积分:1
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NLMS
若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度,那么可用变步长方法来缩短其自适应收敛过程,其中一个主要的方法是归一化LMS算法(NLMS算法),变步长 的更新公式可写成
W(n+1)=w(n)+ e(n)x(n)
=w(n)+ (3.1)
式中, = e(n)x(n)表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的,必须合适的选择变步长 的值,一个可能策略是尽可能多地减少瞬时平方误差,即用瞬时平方误差作为均方误差的MSE简单估计,这也是LMS算法的基本思想。
(Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想.)
- 2021-03-06 12:39:31下载
- 积分:1