Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Information Transfer Rate"”.
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The Effect of Age on Dark Focus Distance and Visual Information Transfer Rate
… distance and its utility in enhancing the visual information transfer rate, two experiments were conducted under nighttime condition (scotopic vision) in a laboratory setting. A total of forty participants with normal vision or corrected to normal vision were recruited from four different age …
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Improving Brain-Computer Interface Performance: Giving the P300 Speller Some Color.
… Online results (n=21) show that GC has increased information transfer rate over CI. Mean amplitude revealed that GC had earlier positive latency than GW and greater negative amplitude than CI, suggesting a faster perceptual process for GC. Offline performance of individual optimal channels …
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Space -Time Transmit Precoding and Interference Suppression for a Wireless Downlink
… Rayleigh and Rician fading channels. Optimum strategies that maximize the long term information transfer rate are derived under a variety of assumptions regarding this distribution. It is shown that the simple strategy of beamforming is close to optimal in many situations of interest. Finally, …
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Investigation into Stand-alone Brain-computer Interfaces for Musical Applications
… interfaces and realise low communication rates. This project considers these challenges and uses a dry and wireless electroencephalogram (EEG) headset to detect neural activity. It adopts a paradigm called steady state visually evoked potential (SSVEP) to provide the user with control. It …
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Applications of sequential hypothesis testing to the development of non-invasive brain-computer interfaces
… Instead of relying on a fixed window-length strategy—where a pre-specified amount of data is collected before classification is attempted—a sequential probability ratio test is used and data is collected until a confidence threshold is met. This variable window-length strategy was tested using …
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Increasing information transfer rates for brain-computer interfacing
… interdisciplinary cooperation between disparate fields such as neuroscience, since only by combining machine learning and signal processing techniques based on neurophysiological knowledge will the largest progress be made. In this work I particularly deal with my part of this project, which …
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A supervised machine-learning method for detecting steady-state visually evoked potentials for use in brain computer interfaces: A comparative assessment
… assessed by the machine learning scheme and generated parameters which were classifiable by SVM above a random chance of 14% (Reang 9% to 28%). It was also shown that the selection of initial parameters had no distinct effect on the classification accuracy. Traditional classification approaches …
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A distance adaptable brain-computer interface based on steady-state visual evoked potential
… SSVEP based BCI has the advantage of high information transfer rate, high detection rate, less user training time required and commands scalability. Furthermore, SSVEP based BCI is normally operated in the self paced mode which is more intuitive and practical for real world applications. …