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bpskd
bpsk modulation in matlab
- 2009-07-10 15:57:20下载
- 积分:1
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dav-sgp4-Matlab
由david vallado更新的轨道确定的程序代码,本程序融合sgp4和sdp4,包含193个文档(this procedure is the sgp4 prediction model from space command. this is an updated and combined version of sgp4 and sdp4)
- 2010-03-12 16:12:19下载
- 积分:1
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min
说明: 本文提出一种平面度误差评定的最小条件快速精确算法。用此法可在不加任何人工判断的条件下,在计算机上求得最小条件平面度误差值(This paper presents a flatness error evaluation of the minimum conditions for fast and precise algorithm. Method can be judged without any artificial conditions, on the computer to achieve the minimum conditions for flatness error)
- 2008-11-05 20:22:35下载
- 积分:1
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NSGA2detail
NSGA2 解决多目标优化问题,在MATLAB下编程实现,包含注释(A multi-objective optimization)
- 2013-09-20 16:17:17下载
- 积分:1
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[MATLAB].David.McMahon
之前保留的一本关于matlab的学习资料,对于初学者也许有用,不算太难(Keep a book about learning matlab data before, maybe useful for novices, not too hard)
- 2013-03-28 19:24:27下载
- 积分:1
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OTSU
大津法确定图像二值化阈值,为MATLAB语言编写的M文件, 可直接使用(Otsu method to determine the threshold image binarization)
- 2013-03-09 16:29:30下载
- 积分:1
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ABC2dq
program simulink of park s transform ,transforming 2 to 3 axes
- 2014-11-17 19:27:21下载
- 积分:1
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PMSM-Drive-Simulation-Files
drive of pmsm with vector control
- 2014-11-21 18:37:52下载
- 积分:1
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hill-climbing-in-MPPT-for-DFIG
变步长爬山法在双馈风力发电系统最大风能跟踪控制中的应用(Application of variable-step hill climbing searching in maximum power point tracking for DFIG wind
power generation system)
- 2020-11-09 09:59:47下载
- 积分:1
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IterativeClosestPointMethod
ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model - matrix with model points,
data - matrix with data points,
OUTPUT:
R - rotation matrix and
T - translation vector accordingly
so
newdata = R*data + T .
newdata are transformed data points to fit model
see help icp for more information
(ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model- matrix with model points,
data- matrix with data points,
OUTPUT:
R- rotation matrix and
T- translation vector accordingly
so
newdata = R*data+ T .
newdata are transformed data points to fit model
see help icp for more information
)
- 2007-09-09 16:06:34下载
- 积分:1