Results 21 to 30 of about 1,060,009 (254)

SPECTRUM SENSING OF WIDE BAND SIGNALS BASED ON ENERGY DETECTION WITH COMPRESSIVE SENSING

Journal of Engineering and Sustainable Development, 2020
Compressive sensing (CS) technique is used to solve the problem of high sampling rate with wide band signal spectrum sensing where high speed analogue to digital converter is needed to do that. This leads to difficult hardware implementation, large time
Ali Mohammad A. AL-Hussain, Maher K. Mahmood   +1 more
doaj   +3 more sources

Convolutional compressed sensing using deterministic sequences [PDF]

, 2012
This is the author's accepted manuscript (with working title "Semi-universal convolutional compressed sensing using (nearly) perfect sequences"). The final published article is available from the link below. Copyright @ 2012 IEEE.
Cong Ling, Li, K, Gan, L, Kezhi Li, Ling, C   +4 more
core   +1 more source

Image Watermarking pada Citra Medis menggunakan Compressive Sensing berbasis Stationary Wavelet Transform

Jurnal Elkomika, 2020
ABSTRAK Watermarking pada citra medis dilakukan untuk melindungi hak kepemilikan dan keaslian sebuah citra medis. Proses embedding dan extraction dirancang menggunakan metode Stationary Wavelet Transform (SWT) dan Statistical Mean Manipulation (SMM ...
YASQI HAFIZHANA, IRMA SAFITRI, LEDYA NOVAMIZANTI, NUR IBRAHIM   +3 more
doaj   +1 more source

A software companion for compressively sensed time–frequency processing of sparse nonstationary signals

SoftwareX, 2018
Compressive sensing is a computational framework for acquisition and processing of sparse signals at sampling rates below the rates mandated by the Nyquist sampling theorem.
Ervin Sejdić, Irena Orović, Srdjan Stanković   +2 more
doaj   +1 more source

Multi-signal Compressed Sensing For Polarimetric SAR Tomography [PDF]

, 2011
In recent years, three-dimensional imaging by means of SAR tomography has become a field of intensive research. In SAR tomography, the vertical reflectivity function for every azimuth-range pixel is usually recovered by processing data collected using a ...
Aguilera, Esteban Pedro, Nannini, Matteo, M. Nannini, Aguilera, Esteban, Reigber, Andreas, E. Aguilera, A. Reigber   +6 more
core   +1 more source

Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas [PDF]

, 2012
Synthetic aperture radar (SAR) tomography is a 3-D imaging modality that is commonly tackled by spectral estimation techniques. Thus, the backscattered power along the cross-range direction can be readily obtained by computing the Fourier spectrum of a ...
Nannini, Matteo, Aguilera, Esteban, Reigber, Andreas   +2 more
core   +1 more source

Efficient Lossy Compression for Compressive Sensing Acquisition of Images in Compressive Sensing Imaging Systems

Sensors, 2014
Compressive Sensing Imaging (CSI) is a new framework for image acquisition, which enables the simultaneous acquisition and compression of a scene. Since the characteristics of Compressive Sensing (CS) acquisition are very different from traditional image
Xiangwei Li, Xuguang Lan, Meng Yang, Jianru Xue, Nanning Zheng   +4 more
doaj   +1 more source

Compressed sensing of monostatic and multistatic SAR [PDF]

, 2013
In this letter, we study the impact of compressed data collections from a synthetic aperture radar (SAR) sensor on the reconstruction quality of a scene of interest.
Çetin, Müjdat, W. Clem Karlb, Mujdat Cetinc, Stojanovic, Ivana, Karl, W. Clem, Ivana Stojanovica   +5 more
core   +1 more source

Synthetic aperture sonar imaging using compressive sensing and an ultrasound transducer array [PDF]

, 2013
Includes bibliographical references.Compressive sensing (CS) also known as compressive sampling is a technique used to reconstruct or recover the full-length of a signal with only a few non-adaptive measurements.
Jideani, Josiah Chimnanu
core   +1 more source

A New Method for EEG Compressive Sensing

Advances in Electrical and Computer Engineering, 2012
The paper investigates the possibility of using compressive sensing techniques for the acquisition and reconstruction of EEG signals containing the evoked potential P300. A method of EEG compressive sensing based on the physiological correlation of EEG
FIRA, M., GORAS, L.
doaj   +1 more source