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The performance of wearable biosensors is highly influenced by motion artifact. In this paper, a model is proposed for analysis of motion artifact in wearable photoplethysmography (PPG) sensors. Using this model, we proposed a robust real-time technique to estimate fundamental frequency and generate a noise reference signal. A Least Mean Square (LMS) adaptive noise canceler is then designed and validated...
An important application of Active Noise Control (ANC) is to reduce noise produced by machinery in modern living places. We present an ANC system that is designed to cancel narrowband noise generated from the compressor of an HVAC (Heating, Ventilation, and Air-Conditioning) system in real time. To achieve cost effectiveness of the system, we propose a single-channel Feedback ANC implementation, which...
An important application of active noise control (ANC) system is to eliminate the acoustic (sound) noise pollution in modern living environments. In this paper, we present an ANC method and its implementation for reducing the acoustic noise generated mainly by the compressor of an actual HVAC (Heating, Ventilation, and Air-conditioning) system used in a commercial or residential environment. To achieve...
We discuss implementation of the unbiased finite impulse response (FIR) filters. The transfer function and general block-diagram are presented for the l-degree polynomial FIR filter along with its fundamental properties in the z-transform domain. As a special results, we show a fundamental identity that is uniquely featured to such filters and can serve as an indicator of unbiasedness in filter design...
Non-minimum phase secondary path has a direct effect on achieving a desired noise attenuation level in active noise control (ANC) systems. The adaptive noise canceling filter is often a causal FIR filter which may not be able to sufficiently equalize the effect of a non-minimum phase secondary path, since in theory only a non-causal filter can equalize it. However a non-causal stable filter can be...
Magnetic resonance field map images are normally used in characterizing the magnetic field inhomogeneity for distortion correction in Echo-Planar Imaging (EPI) and accurate localization in functional MRI (fMRI). In this paper, the computation and applications of an average field map image template is investigated based on real field maps. The introduced methodology and the obtained field map image...
Accurate segmentation of different brain tissues is of much importance in magnetic resonance imaging. This paper presents a comparison of the existing segmentation algorithms that are deployed in the neuroimaging community as part of two widely used software packages. The results obtained in this comparison can be used to select the appropriate segmentation algorithm for the neuroimaging application...
We present application of adaptive LMS-based method using two different sub-band filtering techniques for active reduction of 3T-fMRI acoustic noise. Analysis and design of the sub-band filters are discussed based on the characteristics of the noise. Using the fMRI-brain scanner acoustic noise, performance of the methods are analyzed and compared for different number of sub-band filters
We present application of adaptive LMS-based method using two different sub-band filtering techniques for active reduction of 3T-fMRI acoustic noise. Analysis and design of the sub-band filters are discussed based on the characteristics of the noise. Using the fMRI-Brain scanner acoustic noise, performance of the methods are analyzed and compared for different number of sub-band filters.
Optical lattice filter structures including gains are introduced and analyzed. The photonic realization of the active, adaptive lattice filter is described. The algorithms which map between gains space and filter coefficients space are presented and studied. The sensitivities of filter parameters with respect to gains are derived and calculated. An example which is relevant to adaptive signal processing...
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