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Electrocardiogram (ECG) conveys numerous clinical information on cardiac ailments. For proper diagnosis of cardiac disorders, high-quality ECG signals are always desired. However, in reality, pathological ECG signals are corrupted with several noises. In this work, empirical mode decomposition (EMD) along with adaptive switching mean filtering (ASMF) based ECG denoising technique has been proposed...
Noise analysis using Monte Carlo method is conducted in this letter to correct the relationship between the frequency resolution, the $Q$ -factor, signal-to-noise ratio, and frequency step in the Brillouin-distributed optical fibre sensors. The quantification of the Brillouin gain spectrum is important in distributed Brillouin sensors in order to improve the Brillouin frequency resolution and the...
In this paper, a novel time reversal imaging (TRI) algorithm for damage detection in concrete is presented. The standard time reversal imaging method typically suffers from performance degradation when the echo signals are interfered by strong noise. The proposed method is developed to address the aforementioned issues. First, the echo signals are time reversed and rebroadcasted from each receiver's...
The dependency of GSM network is quite high in maximum applications of telecommunication standards. However, the presence of noise within the GSM signal highly deteriorates the quality of the signal. At present, there are various noise reduction techniques but study on noise cancellation techniques over GSM signals are quite few to find. The existing usage of Weiner Filter for noise elimination is...
Correct estimation of symbol timing, Carrier Frequency Offset (CFO), and Signal-to-Noise Ratio (SNR) is crucial in Orthogonal Frequency Division Multiplexing (OFDM) communication. Typically, high estimation accuracy is desired, but often comes with increased complexity. Which has a direct repercussion in energy consumption. In this article, an architecture based on Sign-Bit estimation with low complexity,...
Diffusion-weighted imaging (DWI) provides information on brain integrity and connectivity, based on mapping the directional diffusion of water along the brain's neural pathways. The latest stage of the Alzheimer's Disease Neuroimaging Initiative, ADNI-2, added a 9-minute 41-gradient DWI protocol. To study the potential benefits of adjusting the number of diffusion-weighted gradients, here we scanned...
The performances of several signal-to-noise ratio (SNR) estimation techniques reported in the literature are compared to identify the "best" estimator. The SNR estimators are investigated by the computer simulation of quartenary phase-shift keying (QPSK) signals in complex additive white Gaussian noise (AWGN).The mean square error is used as a measure of performance. In addition to comparing...
We have proposed a novel method to calibrate a vector network analyzer (VNA) using only Short-Open-Load (SOL) standards without Thru (T) procedure in a full 2-port calibration, which is especially suitable for reciprocal antenna measurements because of the easiness of its procedure, and have shown that the systematic uncertainty is almost the same as that of the SOLT calibration method. In this paper,...
Discontinuous transmission based on speech/pause detection represents a valid solution to improve the spectral efficiency of new-generation wireless communication systems. One of the modern standards that used in speech processing systems as voice activity detector (VAD) is ITU-T G.729B. In this paper, we try to improve the performance of this standard in low SNRs by minimum changes. This modification...
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