An ultradeep submillimetre map: beneath the SCUBA confusion limit with lensing and robust source extraction

In this work, we studied the effect of different factors such as anthocyanin source, extraction technique, and extracting solvent on the sensitivity and optical visibility of anthocyanin-based paper sensors.

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General formulation of the source extraction problem

The Journal of the Acoustical Society of America ◽

10.1121/1.381468 ◽

1977 ◽

Vol 61 (6) ◽

pp. 1550-1556 ◽

Cited By ~ 1

Author(s):

David P. Vasholz

Keyword(s):

Source Extraction

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Research on Key Technologies of Component-Based Postpone Telemetry Pre-Processing

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.846-847.1176 ◽

2013 ◽

Vol 846-847 ◽

pp. 1176-1179

Author(s):

Zhi Guo Zhang ◽

Lei Gong

Keyword(s):

System Development ◽

Data Extraction ◽

Processing Method ◽

Frame Structure ◽

Telemetry Data ◽

Data Frame ◽

Source Data ◽

Processing Module ◽

Processing Software ◽

Source Extraction

Telemetry data frame structure is complicated and changeable, so telemetry pre-processing software cannot be universal. To solve this problem, a component method was proposed in this paper, which can effectively compensate for the deficiencies of the traditional method. XML files were employed to configure telemetry parameters, including the information of appropriate processing method for data processing. Based-on memory-mapped telemetry source data extraction can greatly improve source extraction speed, and data integrity is guaranteed by sub-frame data fusion. Subsequent telemetry software developing shows that the method can improve the reusability of pre-processing module and shorten the system development time.

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Research on Blind Signal Extraction Based on Normalized Kurtosis

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.989-994.3609 ◽

2014 ◽

Vol 989-994 ◽

pp. 3609-3612

Author(s):

Yong Jian Zhao

Keyword(s):

Biomedical Applications ◽

Prior Information ◽

Signal Extraction ◽

Promising Technique ◽

Blind Source Extraction ◽

Blind Signal ◽

Source Signal ◽

Blind Signal Extraction ◽

Source Signals ◽

Source Extraction

Blind source extraction (BSE) is a promising technique to solve signal mixture problems while only one or a few source signals are desired. In biomedical applications, one often knows certain prior information about a desired source signal in advance. In this paper, we explore specific prior information as a constrained condition so as to develop a flexible BSE algorithm. One can extract a desired source signal while its normalized kurtosis range is known in advance. Computer simulations on biomedical signals confirm the validity of the proposed algorithm.

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A Method for Extracting Signals with Specific Normalized Kurtosis Range

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.756-759.3845 ◽

2013 ◽

Vol 756-759 ◽

pp. 3845-3848

Author(s):

Yong Jian Zhao ◽

Mei Xia Qu ◽

Hai Ning Jiang

Keyword(s):

A Priori ◽

Signal Separation ◽

Blind Signal Separation ◽

Validity And Reliability ◽

Original Source ◽

Blind Source Extraction ◽

Blind Signal ◽

Extraction Algorithm ◽

Fastica Algorithm ◽

Source Extraction

The famous FastICA algorithm has been widely used for blind signal separation. For every process, it only converges to an original source which has the maximum negentropy of the underlying signals. To ensure the first output is the desired signal, we incorporate a priori knowledge as a constraint into the FastICA algorithm to construct a robust blind source extraction algorithm. One can extract the desired signal if its normalized kurtosis is known to lie in a specific range, whereas other unwanted signals do not belong to this range. Experimental results on biomedical signals illustrate the validity and reliability of the proposed method.

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