Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 225,287,328 papers from all fields of science
Search
Sign In
Create Free Account
Noiselet
Known as:
Noiselets
Noiselets are a family of functions which are related to wavelets, analogously to the way that the Fourier basis is related to a time domain signal…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
6 relations
Basis function
Compressed sensing
Curvelet
Shearlet
Expand
Broader (1)
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Noiselet Measurement Matrix Usage in CS Framework
H. Markarian
,
Alireza Mohammad Zaki
,
S. Ghofrani
2017
Corpus ID: 55153613
Theory of compressive sensing (CS) is an alternative to Shannon/Nyquist sampling theorem which explained the number of samples…
Expand
2016
2016
On de-cluttering and de-noising ultrasound images with Time-domain Compressive Beamforming
G. David
,
J. Robert
,
Bo Zhang
,
A. Laine
IUS
2016
Corpus ID: 7502195
Time-domain Compressive Beamforming (t-CBF) uses a beamforming matrix in conjunction with regularization techniques to improve…
Expand
2015
2015
Compressive sensing based image reconstruction for synthetic aperture radar using discrete cosine transform and noiselets
Tae Hee Kim
,
R. Narayanan
International Conference on Telecommunications…
2015
Corpus ID: 10766495
Synthetic Aperture Radar (SAR) has the ability to obtain high resolution 2D imagery from distributed targets, such as landscapes…
Expand
2015
2015
Block Based Compressive Sensing for SAR Images by using Noiselet and Haar Wavelet
Markarian Haybert
,
Ghofrani Sedigheh
2015
Corpus ID: 35929074
:هلاقم هصلاخ -Compressive sensing (CS) is a new method for image sampling in contrast with well known Nyquist sampling theorem…
Expand
2013
2013
Single Pixel Compressive Imaging of Laboratory and Natural Light Scenes
S. J. Olivas
,
Y. Rachlin
,
+4 authors
J. Ford
2013
Corpus ID: 123652039
We evaluate the performance of a compressive imager using multiple basis sets on monochromatic, color and infrared natural light…
Expand
2013
2013
Noiselet encoded compressive sensing parallel MRI
K. Pawar
,
Arjun Arunachalam
,
G. Egan
,
Jingxin Zhang
BioMed
2013
Corpus ID: 55095675
Compressed sensing (CS) reconstruction relies on the sparsity of the signal in the transform domain and on the incoherence…
Expand
2012
2012
Compressive measurements with integrated sensing, compression and data processing — Initial study
A. Przelaskowski
,
R. Jóźwiak
Picture Coding Symposium
2012
Corpus ID: 44486203
In this work, modifications to the paradigm of compression using the concept of compressive sensing was proposed. Procedure of…
Expand
2012
2012
Video compressive sensing with 3-D Wavelet and 3-D Noiselet
D. Lam
,
D. Wunsch
19th IEEE International Conference on Image…
2012
Corpus ID: 16406406
A new compressive video sampling method is investigated. As opposed to other video sampling methods for which processing is…
Expand
2010
2010
Image Compression Using the DCT and Noiselets: A New Algorithm and Its Rate Distortion Performance
Zhuoyuan Chen
,
Jiangtao Wen
,
Shiqiang Yang
,
Yuxing Han
,
J. Villasenor
Data Compression Conference
2010
Corpus ID: 12262318
We describe an image coding algorithm combining the DCT and noiselet information. The algorithm first transmits DCT information…
Expand
2010
2010
FPGA implementation of compressive sampling for sensor network applications
Yan Wang
,
A. Bermak
,
F. Boussaid
Asia Symposium on Quality Electronic Design
2010
Corpus ID: 5892082
This paper examines the implementation considerations of Compressive Sampling (CS) in Field Programmable Gate Array (FPGA) and…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE