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Juan-juan Gu

dblp:80/4230 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Algorithms and data structures · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithms and data structures
parallel algorithms		 0.112012
Fast parallel algorithms for discrete Gabor expansion and transform based on multirate filtering · Sci. China Inf. Sci. 2012
Image and video processing › image transform
gabor transform		 0.012012
Fast parallel algorithms for discrete Gabor expansion and transform based on multirate filtering · Sci. China Inf. Sci. 2012

Methods — techniques the papers use, named apart from their topics

multirate filtering · 0.3
YearPublicationVenuePosition
2012 Fast parallel algorithms for discrete Gabor expansion and transform based on multirate filtering
Juan-juan Gu
 Sci. China Inf. Sci.2
2011 Filterbank-based fast parallel algorithms for 2-D DHT-based real-valued discrete Gabor transform
abstract
Novel and fast parallel algorithms for the 2-D DHT-based real-valued discrete Gabor transform (RDGT) and its inverse transform are presented based on 2-D filterbanks. A 2-D analysis filterbank is designed for the 2-D RDGT and a 2-D synthesis filterbank is designed for the 2-D inverse RDGT. The parallel channel in each of the two filterbanks has a unified structure and can apply the 2-D fast DHT (discrete Hartley transform) to reduce its computational load. The computational complexity of each parallel channel is very low and is independent of the oversampling rate. The computational complexity of the proposed parallel algorithms is analyzed and compared with that of the existing fastest parallel algorithms for the 2-D RDGT and its inverse transform. The results indicate that the proposed parallel algorithms are attractive for real tune image processing.
Hon Keung Kwan, Juan-juan Gu
 ISCAS3
2010 Filterbank-based fast parallel algorithms for real-valued discrete gabor expansion and transform
abstract
Novel and fast parallel algorithms for the DHT-based real-valued discrete Gabor expansion (DGE) and discrete Gabor transform (DGT) are presented based on filterbanks. An analysis interbank is designed for the DHT-based real-valued DGT and a synthesis interbank is designed for the DHT-based real-valued DGE. The parallel channel in each of the two filterbanks has a unified structure and can apply the fast DHT (discrete Hartley transform) to reduce its computational load. The computational complexity of each parallel channel is very low and is independent of the oversampling rate. The computational complexity of the proposed parallel algorithms is analyzed and compared with that of the existing major parallel algorithms for the DGT and DGE. The results indicate that the proposed parallel algorithms are attractive for real time signal processing.
Hon Keung Kwan, Juan-juan Gu
 ISCAS3