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We propose a method for detecting seizure origin in epileptic electroencephalographic (EEG) data based on a novel multi-scale topological technique called persistent homology (PH). Among several PH descriptors, persistence landscape (PL) possesses many desirable properties for rigorous statistical inference. By building PLs on EEG epilepsy signals smoothed by a weighted Fourier series (WFS) expansion,...
Existing non-invasive lung cancer diagnostic equipment has difficulty in detecting early stage lung cancer as abnormal tissue is smaller than 0.5cm in size. According to studies showing that volatile organic compounds (VOCs) from human breath gas can provide biomarkers for human disease, especially for lung cancer [1], a non-invasive method was developed to measure the exhaled air from cancer patients...
This paper addresses the impacts of biasing and clipping on free-space optical (FSO) communications system over weak turbulence channel employing direct current biased optical orthogonal frequency division multiplexing (DCO-OFDM). With atmospheric attenuation, turbulence and pointing errors, we present a statistical model for the optical intensity fluctuation at the receiver. The average bit error...
This paper is motivated by sensing and wireless communication, where data compression or dimension reduction may be used to reduce the required communication bandwidth. High-dimensional measurements are converted into low-dimensional representations through linear compression. Our aim is to compress a noisy sensor measurement, allowing for the fact that the compressed measurement will then be transmitted...
For a support vector algorithm, the problem of sensitivity to noise points is considered as one of the major problems that may affect the accuracy of the results. In this paper, a weighted method based on rough neighborhood approximation is proposed to reduce the influence of noise points for support vector data description algorithm, which is an important branch of support vector model. Based on...
An automatic video object segmentation algorithm based on background reconstruction is proposed in this paper. First, HOS (Higher Order Statistics) is used to automatically separate the moving areas from background. The initial object mask is extracted, and the corresponding initial background is also derived. Second, the background is reconstructed using forecasting theory. Finally, the video object...
In this paper, several techniques which relax circuit requirements of building blocks are presented to effectively realize wideband high-resolution cascade sigma-delta modulator. Three cascade structures have been proposed in this paper. First, a MASH 2-2 with feed-forward topology in both stages has been explained to obtain low-distortion property and remove subtraction Second, a flexible SMASH 2-2...
In this paper, a high-resolution medium-frequency single-loop fourth-order 1-bit sigma-delta modulator is implemented in 0.18 ??m CMOS technology. The modulator has been presented with an oversampling ratio of 50, clock frequency of 31.25 MHz, 312.5 kHz bandwidth, and achieves a peak SNR of 101.7 dB, which is 16.6-bit resolution, 103 dB dynamic range. The whole circuits consume 58.55-mW from a single...
Dynamic circuit is suitable for high-speed application, but often suffers from noise related reliability problems which become increasingly prominent as the technology are entering into the scores of nano meter era. This paper presented a new dynamic circuit scheme, which could achieve higher noise margin without sacrificing much power consumption and delay time. This design achieves a higher noise...
The general quaternion Mandelbrot sets (abbreviated as M sets) with the additive and multiplicative dynamic noise perturbations are constructed. The topology structures and the fission evolutions of the M sets are investigated, and the boundaries the stability regions are calculated. Plenty of experiments and analysis indicate that the additive dynamic noise makes M sets displace from the original...
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