scholarly journals Stick Based Speckle Reduction for Real-Time Processing of OCT Images on an FPGA

10.14311/984 ◽  
2007 ◽  
Vol 47 (4-5) ◽  
Author(s):  
H. Luecken ◽  
G. Tech ◽  
R. Schwann ◽  
G. Kappen
Keyword(s):  
Real Time ◽  
Frame Rate ◽  
Speckle Reduction ◽  
Image Artifacts ◽  
Single Chip ◽  
Throughput Rate ◽  
Real Time Processing ◽  
Time Processing ◽  
Envelope Detection ◽  
Processing Steps

This paper presents an FPGA based real-time implementation of an adaptive speckle reduction algorithm. Applied to the log-compressed image of a high-resolution optical coherence tomography (OCT) system, all related signal processing steps from envelope detection to VGA video signal generation are executed on a single chip. Images from measured OCT data show that the chosen algorithm produces a smooth, detailed image with fewer image artifacts than comparable approaches. An estimation of the hardware effort, the possible throughput rate and the resulting image frame rate is given for different window sizes used here in speckle reduction. 

Fast Pedestrian Detection Based on GPU+CPU

2013 ◽  
Vol 718-720 ◽  
pp. 2291-2295
Author(s):  
Heng Li Liu ◽  
Si Yue Zhou ◽  
Zheng Peng Yuan ◽  
Yu Chi Wang
Keyword(s):  
Real Time ◽  
Processing Speed ◽  
Parallel Implementation ◽  
Pedestrian Detection ◽  
Frame Rate ◽  
Real Time Processing ◽  
Time Processing ◽  
Practical Applications ◽  
Security Applications

Accurate pedestrian detection is required for practical applications such as automotive and security applications. However, the implementation does not have enough performance because the present schemes are not sufficient. In this paper, the authors proposed parallel implementation of HOG-based pedestrian detection on GPU to obtain real-time processing results. By the proposed implementation, the total processing speed becomes 60 times faster than that of original one on frame rate and real-time processing is achieved.

GPU Acceleration of Algorithm to Design Directional Volumetric Display for Real-time Processing

2019 ◽  
pp. 989
Author(s):  
Daiki Matsumoto ◽  
Ryuji Hirayama ◽  
Naoto Hoshikawa ◽  
Hirotaka Nakayama ◽  
Tomoyoshi Shimobaba ◽  
...  
Keyword(s):  
Real Time ◽  
Gpu Acceleration ◽  
Real Time Processing ◽  
Time Processing ◽  
Volumetric Display

Putting up barriers

2017 ◽  
Author(s):  
David J. Lobina
Keyword(s):  
Knowledge Base ◽  
Real Time ◽  
Language Processing ◽  
Cognitive Domain ◽  
Linguistic Knowledge ◽  
Levels Of Explanation ◽  
Real Time Processing ◽  
Time Processing ◽  
Neural Underpinnings ◽  
Different Levels

The study of cognitive phenomena is best approached in an orderly manner. It must begin with an analysis of the function in intension at the heart of any cognitive domain (its knowledge base), then proceed to the manner in which such knowledge is put into use in real-time processing, concluding with a domain’s neural underpinnings, its development in ontogeny, etc. Such an approach to the study of cognition involves the adoption of different levels of explanation/description, as prescribed by David Marr and many others, each level requiring its own methodology and supplying its own data to be accounted for. The study of recursion in cognition is badly in need of a systematic and well-ordered approach, and this chapter lays out the blueprint to be followed in the book by focusing on a strict separation between how this notion applies in linguistic knowledge and how it manifests itself in language processing.

scholarly journals Limits on expectation-based processing: Use of grammatical aspect for co-reference in L2

2020 ◽  
pp. 1-25
Author(s):  
Theres Grüter ◽  
Hannah Rohde
Keyword(s):  
Real Time ◽  
Language Processing ◽  
Judgment Task ◽  
Linguistic Knowledge ◽  
Real Time Processing ◽  
Time Processing ◽  
Grammatical Aspect ◽  
Level Information ◽  
Native Speakers Of English ◽  
Reference Processing

Abstract This study examines the use of discourse-level information to create expectations about reference in real-time processing, testing whether patterns previously observed among native speakers of English generalize to nonnative speakers. Findings from a visual-world eye-tracking experiment show that native (L1; N = 53) but not nonnative (L2; N = 52) listeners’ proactive coreference expectations are modulated by grammatical aspect in transfer-of-possession events. Results from an offline judgment task show these L2 participants did not differ from L1 speakers in their interpretation of aspect marking on transfer-of-possession predicates in English, indicating it is not lack of linguistic knowledge but utilization of this knowledge in real-time processing that distinguishes the groups. English proficiency, although varying substantially within the L2 group, did not modulate L2 listeners’ use of grammatical aspect for reference processing. These findings contribute to the broader endeavor of delineating the role of prediction in human language processing in general, and in the processing of discourse-level information among L2 users in particular.

scholarly journals A Real Time Processing system for big data in astronomy: Applications to HERA

2021 ◽  
pp. 100489
Author(s):  
Paul La Plante ◽  
P.K.G. Williams ◽  
M. Kolopanis ◽  
J.S. Dillon ◽  
A.P. Beardsley ◽  
...  
Keyword(s):  
Big Data ◽  
Real Time ◽  
Processing System ◽  
Real Time Processing ◽  
Time Processing

Real-Time Processing of Spaceborne SAR Data With Nonlinear Trajectory Based on Variable PRF

2021 ◽  
pp. 1-12
Author(s):  
Jianlai Chen ◽  
Junchao Zhang ◽  
Yanghao Jin ◽  
Hanwen Yu ◽  
Buge Liang ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Processing ◽  
Time Processing ◽  
Sar Data
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