Dang Le Khoa

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Fetal heart rate extraction from the abdominal ECG is of great importance due to the information that carries in assessing appropriately the fetus well-being during pregnancy. In this paper, we describe a method to suppress the maternal signal and noise contamination to discover the fetal signal in a single-lead fetal ECG recordings. We use a locally linear(More)
Recently, Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM) has been seen as a potential candidate for long haul optical transmission. It is due to OFDM technique that was proved as an effective solution for mitigating chromatic dispersion (CD) effects in optical communication systems. However, a very basic drawback of OFDM technique is(More)
Optical wireless systems have attracted much attention, because they allow high speed transmission without electromagnetic interference. Orthogonal frequency division multiplexing (OFDM) can send multiple high speed signals by using orthogonal carrier frequencies. Recently, studies have focused on the optimal OFDM technique for optical wireless systems.(More)
The optimal preceding design to maximize capacity of spatially correlated dual-hop non-regenerative multiple-input multiple-output (MIMO) relaying systems is proposed in this paper. The correlated systems generally have additive colored Gaussian noise (ACGN) at receive terminals and correlated data symbols at the source. By designing the optimal precoder in(More)
Optical Wireless Communication (OWC) is superior to radio wireless communication in several technical applications. In order to study the characteristics of Optical Multiple Input Multiple Output (OMIMO) channels, first, this paper presents the simulation of the optical wireless channel to analyze effects of dispersion multipath. We use ray tracing method(More)
Chaos and fractals are novel fields of physics and mathematics showing up a new way of universe viewpoint and creating many ideas to solve several present problems. In this paper, a novel algorithm based on the chaotic sequence generator with the highest ability to adapt and reach the global optima is proposed. The adaptive ability of proposal algorithm is(More)
Outlier detection is a process to identify rare or abnormal observations in the data. Distance based techniques can find only global outliers whereas density based techniques can capture local outliers based on their neighborhood densities. We present a method to find outliers using ‘commute time distance’ which is computed from a random walk of a weighted(More)
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