Estimate of the error in measurement of voltage nonsymmetry in an interference background

1989 ◽  
Vol 32 (4) ◽  
pp. 366-370
Author(s):  
O. G. Grib
Keyword(s):  
Interference Background

Research on Data Acquisition Algorithms Based on Image Processing and Artificial Intelligence

2019 ◽  
Vol 34 (06) ◽  
pp. 2054016
Author(s):  
Shuyu Hu
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Data Acquisition ◽  
Bp Neural Network ◽  
Decisive Role ◽  
Recognition Algorithm ◽  
Important Research Topic ◽  
Information Recognition ◽  
Handwritten Signature ◽  
Interference Background

At present, image recognition processing technology has been playing a decisive role in the field of pattern recognition, of which automatic recognition of bank notes is an important research topic. Due to the limitation of the size of bill layout and printing method, many invoice layouts are not clear, skewed or distorted, and even there are irregular handwritten signature contents, which lead to the problem of recognition of digital characters on bill surface. In this regard, this paper proposes a data acquisition and recognition algorithm based on improved BP neural network for ticket number identification, which is based on the theory of image processing and recognition, combined with improved bill information recognition technology. First, in the pre-processing stage of bill image, denoising and graying of bill image are processed. After binarization of bill image, the tilt detection method based on Bresenham integer algorithm is used to correct the tilted bill image. Secondly, character localization and feature extraction are carried out for par characters, and the target background is separated from the interference background in order to extract the desired target characters. Finally, the improved BP neural network-based bill digit data acquisition and recognition algorithm is used to realize the classification and recognition of bill characters. The experimental results show that the improved method has better classification and recognition effect than other data acquisition and recognition algorithms.

Gaussianization for Interference Background

2010 ◽  
pp. 517-522 ◽  
Author(s):  
Wang Pingbo ◽  
Suofu Tang ◽  
Hongkai Wei ◽  
Zhiming Cai
Keyword(s):  
Interference Background

EXPRESS: Lending a Hand to Storytelling: Gesture’s Effects on Narrative Comprehension Moderated by Task Difficulty and Cognitive Ability

2021 ◽  
pp. 174702182110249
Author(s):  
Nicola McKern ◽  
Nicole Dargue ◽  
Naomi Sweller ◽  
Kazuki Sekine ◽  
Elizabeth Austin
Keyword(s):  
Cognitive Ability ◽  
Verbal Memory ◽  
Cognitive Abilities ◽  
Background Noise ◽  
Task Difficulty ◽  
Intellectual Ability ◽  
Narrative Comprehension ◽  
Compelling Evidence ◽  
Iconic Gesture ◽  
Interference Background

Compelling evidence suggests observing iconic gestures benefits learning. While emerging evidence suggests typical iconic gestures benefit comprehension to a greater extent than atypical iconic gestures, it is unclear precisely when and for whom these gestures will be most helpful. The current study investigated factors that may moderate when and for whom gesture benefits narrative comprehension most, including the type of gesture, task difficulty, and individual differences in cognitive ability. Participants were shown a video narrative in which they observed either typical gestures (commonly produced gestures, highly semantically related to accompanying speech), atypical gestures (gestures that are seldom produced), or no gestures. The video narrative was either viewed with interference (background noise to increase task difficulty) or no interference (no background noise). To determine whether the effects of gesture observation and externally imposed task difficulty on narrative comprehension further depend on an individual’s cognitive abilities, participants completed four measures of cognitive abilities (immediate and delayed non-verbal memory, attention, and intellectual ability). Observing typical gestures significantly benefited narrative comprehension compared to atypical and no gestures combined, which did not differ significantly. Participants with below average and average levels of delayed non-verbal memory benefited more from typical gestures than atypical or no gestures compared to those with an above average level of delayed non-verbal memory. However, this interaction was only significant when the task was difficult (i.e., with interference) but not when the task was simple (i.e., no interference). This finding suggests that the type of iconic gesture observed may impact gesture’s beneficial effect on narrative comprehension, and that such gestures may be more beneficial in difficult tasks, but only for certain individuals.

Adaptive Radar Sensitivity Time Control Based on Linear Prediction Sea Clutter

2014 ◽  
Vol 701-702 ◽  
pp. 279-282
Author(s):  
Yun Feng Liu ◽  
Ji Dong Suo ◽  
Xiao Ming Liu ◽  
Bo Li
Keyword(s):  
Linear Prediction ◽  
Dynamic Range ◽  
Temporal Correlation ◽  
Sea Clutter ◽  
Saturation Point ◽  
Time Control ◽  
Adaptive Radar ◽  
Close Range ◽  
Interference Background ◽  
Error Method

Sea clutter is interference background in radar target processing. It is difficult to detect long-range weak target in sea clutter. Sea clutter signal changes complex, with high intensity. For close signal, radar receiver will overload and reach saturation point. We are interested in the most dynamic range for displaying target echo and fast changing component of clutter. By analyzing spatial and temporal correlation of sea clutter, slow changing component can be minus from sea clutter. The innovation of this paper is to propose a linear prediction error method for sea clutter to increase dynamic range of radar receiver. It prevents overloading and reaching saturation point at close range.

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