The Experts below are selected from a list of 89238 Experts worldwide ranked by ideXlab platform
Herman Van Engeland - One of the best experts on this subject based on the ideXlab platform.
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effects of methylphenidate on event related potentials and performance of attention deficit hyperactivity disorder children in auditory and visual selective attention tasks
Biological Psychiatry, 1997Co-Authors: Lisa M Jonkman, Chantal Kemner, Marinus N Verbaten, Harry S Koelega, G Camfferman, Rutger Jan Van Der Gaag, Jan K Buitelaar, Herman Van EngelandAbstract:Attention-deficit hyperactivity disorder (ADHD) children participated in a double-blind placebo-controlled study in which the effects of a dosage of 15 mg methylphenidate (MPH) on auditory and visual selective attention tasks was determined by presenting frequent (90%) and infrequent (10%) stimuli in both relevant and irrelevant input Channels. The subject's task was to respond to the infrequent tones in the relevant input Channel. Processing activity (negativity and positivity) was assessed for both tasks. N1, P2, N2, and P3b peaks were scored in the auditory task and N1, P1, N2, P2, P3(1), and P3b peaks were scored in the visual task. Effects of MPH were more prevalent in the visual than in the auditory condition. In the visual condition MPH enhanced the percentage of hits, caused higher central, parietal, and occipital P3b amplitudes to attended stimuli (both standards and deviants), and also enhanced the frontal Processing negativity (PN). In the auditory task MPH did not influence performance, but it enhanced the frontal PN as well as the parietal and occipital P3b amplitudes to all stimulus types. In ADHD children, MPH ameliorates some, but not all, deficits and also improves Processing where no differences with normal children are present.
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event related potentials and performance of attention deficit hyperactivity disorder children and normal controls in auditory and visual selective attention tasks
Biological Psychiatry, 1997Co-Authors: Lisa M Jonkman, Chantal Kemner, Marinus N Verbaten, Harry S Koelega, G Camfferman, Rutger Jan Van Der Gaag, Jan K Buitelaar, Herman Van EngelandAbstract:Attention-deficit hyperactivity disorder (ADHD) children and normal controls (7–13 yrs old) performed an auditory and visual selective attention task. Subjects were instructed to repond to the infrequent (10%) stimuli in the relevant Channel. Processing negativity (PN) and several other ERP peaks were scored at the midline electrodes. In the auditory task, controls had more correct detections (hits), less false alarms, larger P3b amplitudes to nontarget stimuli (but not to hits), a larger central PN and larger early frontal positivity (100–250 ms) to target stimuli than ADHD subjects. In the visual modality, controls had more correct detections, less false alarms, larger P3b amplitudes to nontarget stimuli (but not to hits), and larger frontal P3(1) amplitudes to infrequent than to frequent stimuli. It was hypothesized that in ADHD children in both the auditory and the visual task, there is a deficit in the activation of the P3b process. Incorrect triggering of the P3b process might be caused by disturbances in other aspects of the attention process, preceding the P3b.
Gong Jiang-tao - One of the best experts on this subject based on the ideXlab platform.
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SDR Channel Processing Based On DSP
Wireless Communication Technology, 2008Co-Authors: Gong Jiang-taoAbstract:The paper mainly studies the Processing technique of different Channels in SDR(Software Defined Radio).The key technique is to design digital filters of different frequency bands to receive the information of different Channels.Based on founding the model of SDR Channel Processing,use MATLAB to realize the design of FIR filters by setting different parameters and transfer the arithmetic to DSP software design.After that,use CCS to simulate the FIR filter.The effect can reach the demand of Channel Processing for SDR.
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Study of SDR Channel Processing Based on FPGA
Journal of Sichuan University of Science & Engineering, 2008Co-Authors: Gong Jiang-taoAbstract:The paper studies the Processing technique of different Channels in SDR (software defined radio). The key technique is to design digital filters of different frequency bands to receive the information of different Channels. The method of SDR Channel process based on FPGA is proposed and compared to traditional DSP method and algorithm. Based on founding the model of SDR Channel Processing, the distributed algorithm for FPGA is stated in detail and the block diagram of the algorithm achievement in FPGA is gotten out. It is believed that the FPGA method is better than DSP on speed and performance in this study.
Hai Chen - One of the best experts on this subject based on the ideXlab platform.
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3g umts wireless system physical layer baseband Processing hardware implementation perspective
IEEE Communications Magazine, 2006Co-Authors: Y Hawwar, E Farag, S Vanakayala, R Pauls, X Yang, S Subramanian, P Sadhanala, L Yang, B Wang, Hai ChenAbstract:We present a baseband Processing platform that consists of a DSP processor and an ASIC unit introduced in T. Prokop et al. (2004). Based on this platform, we show detailed architecture of the implementation of the NodeB R99 physical layer Channel Processing of the 3GPP UMTS. We then show the ability of this platform to support the implementation of HSDPA Channels introduced in R5 and E-DCH Channels introduced in R6 of the standard by means of innovative DSP solutions
Lisa M Jonkman - One of the best experts on this subject based on the ideXlab platform.
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effects of methylphenidate on event related potentials and performance of attention deficit hyperactivity disorder children in auditory and visual selective attention tasks
Biological Psychiatry, 1997Co-Authors: Lisa M Jonkman, Chantal Kemner, Marinus N Verbaten, Harry S Koelega, G Camfferman, Rutger Jan Van Der Gaag, Jan K Buitelaar, Herman Van EngelandAbstract:Attention-deficit hyperactivity disorder (ADHD) children participated in a double-blind placebo-controlled study in which the effects of a dosage of 15 mg methylphenidate (MPH) on auditory and visual selective attention tasks was determined by presenting frequent (90%) and infrequent (10%) stimuli in both relevant and irrelevant input Channels. The subject's task was to respond to the infrequent tones in the relevant input Channel. Processing activity (negativity and positivity) was assessed for both tasks. N1, P2, N2, and P3b peaks were scored in the auditory task and N1, P1, N2, P2, P3(1), and P3b peaks were scored in the visual task. Effects of MPH were more prevalent in the visual than in the auditory condition. In the visual condition MPH enhanced the percentage of hits, caused higher central, parietal, and occipital P3b amplitudes to attended stimuli (both standards and deviants), and also enhanced the frontal Processing negativity (PN). In the auditory task MPH did not influence performance, but it enhanced the frontal PN as well as the parietal and occipital P3b amplitudes to all stimulus types. In ADHD children, MPH ameliorates some, but not all, deficits and also improves Processing where no differences with normal children are present.
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event related potentials and performance of attention deficit hyperactivity disorder children and normal controls in auditory and visual selective attention tasks
Biological Psychiatry, 1997Co-Authors: Lisa M Jonkman, Chantal Kemner, Marinus N Verbaten, Harry S Koelega, G Camfferman, Rutger Jan Van Der Gaag, Jan K Buitelaar, Herman Van EngelandAbstract:Attention-deficit hyperactivity disorder (ADHD) children and normal controls (7–13 yrs old) performed an auditory and visual selective attention task. Subjects were instructed to repond to the infrequent (10%) stimuli in the relevant Channel. Processing negativity (PN) and several other ERP peaks were scored at the midline electrodes. In the auditory task, controls had more correct detections (hits), less false alarms, larger P3b amplitudes to nontarget stimuli (but not to hits), a larger central PN and larger early frontal positivity (100–250 ms) to target stimuli than ADHD subjects. In the visual modality, controls had more correct detections, less false alarms, larger P3b amplitudes to nontarget stimuli (but not to hits), and larger frontal P3(1) amplitudes to infrequent than to frequent stimuli. It was hypothesized that in ADHD children in both the auditory and the visual task, there is a deficit in the activation of the P3b process. Incorrect triggering of the P3b process might be caused by disturbances in other aspects of the attention process, preceding the P3b.
Ng Wen Zheng Terence - One of the best experts on this subject based on the ideXlab platform.
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ICASSP - A comparative study of multi-Channel Processing methods for noisy automatic speech recognition in urban environments
2016 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2016Co-Authors: Tran Huy Dat, Jonathan J. Dennis, Leng Yi Ren, Ng Wen Zheng TerenceAbstract:For the distant speech recognition, the multi-Channel Processing has been proven to significantly improve the ASR performances compared to the single Channel approaches. However, there is very little work has done to provide a comparative evaluation of the approaches, particularly with the modern Deep Neural Network (DNN) recognizers. In this paper, we address the above problem by evaluating the most recently reported mutti-Channel methods for the distant speech recognition under urban environments using the 3rd CHiME Challenge database. Particularly, we analyse the effects of each stage of Processing of beamforming, adaptive noise cancellation and dereverberation. The back-end Processing components are also investigated. We further describe in details our best performing system which combines a harmonic to subharmonic ratio (SHR) voice activity detection, and correlative beamforming with adaptive Channel selection in the from-end; semi-supervised DNN adaptation and RNN language model rescoring in the back-end. The system achieved impressive 60% and 55% relative WER reductions on the development set, as well as 65% and 60% of the same on the test set, for real and simulated data sets, respectively.