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[
2D Graphic
]
DNFESR_1_0
DL : 0
Damping Noise-Folding and Enhanced Support Recovery in Compressed Sensing一文的MATLAB源码-This software accompanies the paper "Damping Noise Folding and Enhanced Support Identification in Compressed Sensing”. We warmly recommend to read the paper before using the software. By means of the present code all numerical computations of the mentioned work were performed. The intention of this software package is to open our results to everybody who is interested in testing and performing similar numerical experiments. Notice, that this software is only for academical purpose, thus we neither assure that it runs on every system nor that it is bug-free. Due to this reason, we also did not include a sophisticated exception handling, warning system, or parameter checking.
Date
: 2026-01-03
Size
: 16kb
User
:
王东方
[
2D Graphic
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xiangjibaiodinghaha
DL : 0
The technique hinges upon the use of a set of numbered controls that 1) appear in the structure from motion point cloud model and 2) are mapped by a survey instrument (high accuracy GPS or accurately coordinated total station). Using the Helmert transformation, the arbitrary coordinates of the modeled targets are transformed into the real world coordinate system of the mapped reference targets. With the exception of Microsoft Excel (which could probably be replaced by OpenOffice), the entire work flow employs free software.
Date
: 2026-01-03
Size
: 3.79mb
User
:
朱永丰
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