Relevant bibliographies by topics / NON-LINEAR SIGNAL PROCESSING

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  1. Journal articles

Academic literature on the topic 'NON-LINEAR SIGNAL PROCESSING'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "NON-LINEAR SIGNAL PROCESSING"

1

Pagès-Zamora, Alba, and Miguel A. Lagunas. "Fourier models for non-linear signal processing." Signal Processing 76, no. 1 (1999): 1–16. http://dx.doi.org/10.1016/s0165-1684(98)00243-6.

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Qu, Yanhuai, Shuai Zhang, and Qingkai Han. "Comparison of Non-linear Signals Analysis Methods." MATEC Web of Conferences 232 (2018): 01014. http://dx.doi.org/10.1051/matecconf/201823201014.

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In modern engineering, linear is relative, while non-linear and non-stationary is absolute. There are many methods in non-linear signals processing. How to select a most suitable analysis method quickly for the nonlinear signal is particularly important, which can improve the signal processing efficiently. In this paper, three common analysis methods for nonlinear signals, Wavelet spectrum, Hilbert spectral analysis (HSA) and Poincaré mapping are researched and analyzed by some typical nonlinear signals from the complex electromechanical model test system. The effectiveness and application sco
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3

Lunner, Thomas, Johan Hellgren, Stig Arlinger, and Claus Elberling. "Non-Linear Signal Processing in Digital Hearing Aids." Scandinavian Audiology 27, no. 4 (1998): 40–49. http://dx.doi.org/10.1080/010503998420649.

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4

Bhateja, Vikrant, Rishendra Verma, Rini Mehrotra, and Shabana Urooj. "A Non-Linear Approach to ECG Signal Processing using Morphological Filters." International Journal of Measurement Technologies and Instrumentation Engineering 3, no. 3 (2013): 46–59. http://dx.doi.org/10.4018/ijmtie.2013070104.

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Analysis of the Electrocardiogram (ECG) signals is the pre-requisite for the clinical diagnosis of cardiovascular diseases. ECG signal is degraded by artifacts such as baseline drift and noises which appear during the acquisition phase. The effect of impulse and Gaussian noises is randomly distributed whereas baseline drift generally affects the baseline of the ECG signal; these artifacts induce interference in the diagnosis of cardio diseases. The influence of these artifacts on the ECG signals needs to be removed by suitable ECG signal processing scheme. This paper proposes combination of no
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5

Adithya valli, N., and Dr D. Elizabath Rani. "Modified PWNLFM Signal for Side-Lobe Reduction." International Journal of Engineering & Technology 7, no. 4.20 (2018): 4. http://dx.doi.org/10.14419/ijet.v7i4.20.22110.

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Many applications in radar systems require low range side-lobe performance which is achieved by pulse compression processing. Most used chirp signal for this processing is linear frequency modulation (LFM) signal but with a presence of first high side-lobe level. Suppression of this side-lobe requires weighting function causing the reduction in signal to noise ratio at the receiver owing to mismatch loss. Non-linear chirp signals are introduced as a solution and became most practiced signals aimed at reducing side-lobes. In this paper, an overall piece wise non-linear frequency modulation chir
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6

BILLINGS, S. A., and Q. H. TAO. "Model validity tests for non-linear signal processing applications." International Journal of Control 54, no. 1 (1991): 157–94. http://dx.doi.org/10.1080/00207179108934155.

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7

Liu, H., and T. Vinh. "Multi-dimensional signal processing for non-linear structural dynamics." Mechanical Systems and Signal Processing 5, no. 1 (1991): 61–80. http://dx.doi.org/10.1016/0888-3270(91)90015-w.

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8

Smolarik, Lukas, Dusan Mudroncik, and Lubos Ondriga. "ECG Signal Processing." Advanced Materials Research 749 (August 2013): 394–400. http://dx.doi.org/10.4028/www.scientific.net/amr.749.394.

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Electrocardiography (ECG) is a diagnostic method that allows sensing and record the electric activity of heart [. The measurement of electrical activity is used as a standard twelve-point system. At each of these leads to measure the useful signal and interference was measured. The intensity of interference depends on the artefacts (electrical lines, brum, motion artefacts, muscle, interference from the environment, etc.). For correct evaluation of measured signal there is a need to processing the measured signal to suitable form. At present, the use of electrocardiograms with sensors with con
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9

Bilgehan, Bülent. "Efficient approximation for linear and non‐linear signal representation." IET Signal Processing 9, no. 3 (2015): 260–66. http://dx.doi.org/10.1049/iet-spr.2014.0070.

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10

Kumar, R. Suresh, and P. Manimegalai. "Detection and Separation of Eeg Artifacts Using Wavelet Transform." International Journal of Informatics and Communication Technology (IJ-ICT) 7, no. 3 (2018): 149. http://dx.doi.org/10.11591/ijict.v7i3.pp149-156.

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Bio-medical signal processing is one of the most important techniques of multichannel sensor network and it has a substantial concentration in medical application. However, the real-time and recorded signals in multisensory instruments contains different and huge amount of noise, and great work has been completed in developing most favorable structures for estimating the signal source from the noisy signal in multichannel observations. Methods have been developed to obtain the optimal linear estimation of the output signal through the Wide-Sense-Stationary (WSS) process with the help of time-i
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