Results 241 to 250 of about 799,916 (290)

PhyDCT-UIUNet: A Dual-Branch Interference Network with Physical Constraints for Super-Resolution Imaging in Sparse Data Tunable Semiconductor Laser Absorption Tomography. [PDF]

ACS Omega
Wei H, Jia R, Mo B, Ma J, Feng S, Pei P, Dong Y, Hou Y, Hao X.   +8 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Reconstruction of Repetitive Signals

Methods of Information in Medicine, 1994
Abstract:A technique is presented for the reconstruction of signals that suffered sampling-frequency decimation. Two assumptions are made: the original signal has to be repetitive, and no anti-aliasing filter has been used before frequency decimation.
R J, Schijvenaars, J A, Kors, J H, van Bemmel   +2 more
openaire   +2 more sources

Large-Scale Signaling Network Reconstruction

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012
Reconstructing the topology of a signaling network by means of RNA interference (RNAi) technology is an underdetermined problem especially when a single gene in the network is knocked down or observed. In addition, the exponential search space limits the existing methods to small signaling networks of size 10-15 genes.
Hashemikhabir S, Ayaz ES, Kavurucu Y, Can T, Kahveci T   +4 more
openaire   +2 more sources

Adaptive signal reconstruction

Fourth Symposium on Adaptive Processes, 1965
An adaptive filter which reconstructs a continuous signal from its samples is described. This filter is based on the minimum mean-square-error reconstruction filter, assuming an all-pole model for the sampled spectral density of the input signal. The use of this model leads to two important simplifications.
S. Tretter, K. Steiglitz
openaire   +1 more source

Reconstructing Signal Transduction Pathways

Annals of the New York Academy of Sciences, 2007
Abstract:  In this chapter, we will review how signal transduction pathways have been assembled in the past, bringing us to our present understanding of this area of research. The methods employed have relied heavily upon the genetics of yeast, worms, flies, mice, and humans. The use of second site suppressors and epistasis has permitted the detection
Arnold J, Levine, Wenwei, Hu, Zhaohui, Feng, German, Gil   +3 more
openaire   +2 more sources

Robust signal-structure reconstruction

52nd IEEE Conference on Decision and Control, 2013
This paper focuses on the reconstruction of the signal structure of a system in the presence of noise and nonlinearities. Previous results on polynomial time reconstruction in this area were restricted to systems where target specificity was part of the inherent structure, [5]. This work extends these results to all reconstructible systems and proposes
V. Chetty, D. Hayden, J. Goncalves, S. Warnick   +3 more
openaire   +1 more source

Phase-only signal reconstruction

ICASSP '80. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
In this paper, we develop a set of conditions under which a sequence is uniquely specified by the phase or samples of the phase of its Fourier transform. These conditions are applicable to mixed-phase one-dimensional and multi-dimensional sequences. Under the specified conditions, we also present several algorithms which may be used to reconstruct a ...
M. Hayes, null Jae Lim, A. Oppenheim
openaire   +1 more source

Modular signal reconstruction

[1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems, 2002
It is pointed out that modular signal reconstruction (MSR) allows for very simple and compact VLSI implementations. The idea is to process the derivative (or successive difference) of the signal using modular arithmetic and reconstruct the answer by integrating.
openaire   +1 more source