Classification of oils by ECOC based multi-class SVM using spectral analysis of acoustic signals

M Khan, MQ Reza, A kumar Salhan, SP Sirdeshmukh - Applied Acoustics, 2021 - Elsevier
Acoustic signals passing through a material gather a great deal of analytical information.
Such information act as a signature for classification of the materials. Therefore, the paper …

Hardware implementation of autoregressive model estimation using Burg's method for low-energy spectral analysis

K Kajihara, S Izumi, S Yoshida, Y Yano… - … Workshop on Signal …, 2018 - ieeexplore.ieee.org
We present a hardware implementation of Burg's method, which is used for autoregressive
(AR) model estimation. The AR model is a linear predictive modeling technique. It assumes …

Brain computer interfacing: A spectrum estimation based neurophysiological signal interpretation

D Seth, D Chakraborty, P Ghosal… - 2017 4th International …, 2017 - ieeexplore.ieee.org
Non-invasive process like Electroencephalogram or Electromyogram are much preferred
among various Brain-Computer Interfaces techniques. Parametric method for spectral …

Radar signal separation and recognition based on semantic segmentation

H Changbo, H Lijie, L Guowei… - 2020 7th International …, 2020 - ieeexplore.ieee.org
Signal recognition is a key technology in the current information and communication field,
and it plays an important role in the civilian and military fields. With the diversification of …

Wideband spectrum sensing method based on channels clustering and hidden markov model prediction

H Wang, B Wu, Y Yao, M Qin - Information, 2019 - mdpi.com
Spectrum sensing is the necessary premise for implementing cognitive radio technology.
The conventional wideband spectrum sensing methods mainly work with sweeping …

Detection of Range-spread target in spatially correlated Weibull clutter based on AR spectral estimation

J Bai, L Ma - IEICE Transactions on Fundamentals of Electronics …, 2021 - search.ieice.org
In high range resolution radar systems, the detection of range-spread target under
correlated non-Gaussian clutter faces many problems. In this paper, a novel detector …

A Comparative Study of Parametric Spectrum Estimation Techniques for Cognitive Radio Using Testbed Prototyping

D Chakraborty, SK Sanyal - … , Circuits and Systems: Proceedings of 3rd …, 2021 - Springer
Cognitive radio (CR) has become an emerging field to rescue wireless communication
applications from the spectrum scarcity problem. Spectrum estimation (SE) has been a key …