A high-resolution algorithm for complex spectrum search

1998 ◽  
Vol 104 (1) ◽  
pp. 288-299 ◽  
Author(s):  
I-Tai Lu ◽  
Robert C. Qiu ◽  
Jaeyoung Kwak
Keyword(s):  
High Resolution ◽  
Complex Spectrum ◽  
Resolution Algorithm

High-resolution algorithm for fan beam-CT system

1986 ◽  
Vol 17 (7) ◽  
pp. 19-29
Author(s):  
Isao Horiba ◽  
Shigenobu Yanaka ◽  
Akira Iwata ◽  
Nobuo Suzumura
Keyword(s):  
High Resolution ◽  
Resolution Algorithm ◽  
Ct System

Extension of least squares spectral resolution algorithm to high-resolution lipidomics data

2016 ◽  
Vol 914 ◽  
pp. 35-46 ◽  
Author(s):  
Ying-Xu Zeng ◽  
Svein Are Mjøs ◽  
Fabrice P.A. David ◽  
Adrien W. Schmid
Keyword(s):  
High Resolution ◽  
Least Squares ◽  
Spectral Resolution ◽  
Resolution Algorithm

scholarly journals High-Resolution Algorithm for Image Segmentation in the Presence of Correlated Noise

2010 ◽  
Vol 2010 ◽  
pp. 1-6
Author(s):  
Haiping Jiang ◽  
Salah Bourennane ◽  
Caroline Fossati
Keyword(s):  
Image Processing ◽  
High Resolution ◽  
Order Statistics ◽  
Second Order ◽  
Contour Detection ◽  
Correlated Noise ◽  
Second Order Statistics ◽  
Multiple Line ◽  
Noise Simulation ◽  
Resolution Algorithm

Multiple line characterization is a most common issue in image processing. A specific formalism turns the contour detection issue of image processing into a source localization issue of array processing. However, the existing methods do not address correlated noise. As a result, the detection performance is degraded. In this paper, we propose to improve the subspace-based high-resolution methods by computing the fourth-order slice cumulant matrix of the received signals instead of second-order statistics, and we estimate contour parameters out of images impaired with correlated Gaussian noise. Simulation results are presented and show that the proposed methods improve line characterization performance compared to second-order statistics.

STEP SIZE IN ACTIVATED RABBIT SARCOMERES IS INDEPENDENT OF FILAMENT OVERLAP

2004 ◽  
Vol 04 (04) ◽  
pp. 485-498 ◽  
Author(s):  
EKATERINA M. NAGORNYAK ◽  
GERALD H. POLLACK ◽  
FELIX A. BLYAKHMAN
Keyword(s):  
Molecular Structure ◽  
High Resolution ◽  
Molecular Mechanism ◽  
Thin Filament ◽  
Sarcomere Length ◽  
Psoas Muscle ◽  
Length Change ◽  
Step Size ◽  
Resolution Algorithm ◽  
Parallel Measurements

Investigations carried out on single cardiac and bumblebee myofibrils have shown stepwise sarcomere-length change of ~2.7 nm.1 We have carried out parallel measurements on single myofibrils from rabbit psoas muscle. Activated specimens were released or stretched using a motor-imposed ramp. With a high-resolution algorithm, we found that step sizes were always integer multiples of 2.7 nm, whether the length change was positive or negative, and independent of ramp velocity. Also, the influence of initial sarcomere length was studied, and found to be negligible. The value 2.7 nm, seen consistently, is equal to the linear repeat of actin monomers along the thin filament, a result that ties dynamical events to molecular structure, and places narrow constraints on any proposed molecular mechanism.

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