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Method for Autoregression Modeling of a Speech Signal Using the Envelope of the Schuster Periodogram as a Reference Spectral Sample
AbstractThe problem of autoregressive modeling of a speech signal based on the data of the discrete Fourier transform in the mode of a sliding window...
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Fundamental Frequency and its Harmonics Model: A Robust Method of Estimation
In this paper we have proposed a novel robust method of estimation of the unknown parameters of a fundamental frequency and its harmonics model....
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Determination of Some Elastic Constants of Materials Using Impact Analysis
Materials with increased stiffness and lesser weight are widely used in aerospace, automotive and other manufacturing industries. Nondestructive...
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Unequally Spaced Sampling
In this chapter we describe the Lomb–Scargle periodogram algorithm [1][2] used for unequally spaced sampling, when certain samples of the input data...
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Towards a Low-Cost Electroencephalogram for a Brain-Machine Interface-Based Functional Electrical Stimulation
This work presents the development of a single electroencephalogram (EEG) channel, which will be integrated in a brain-machine interface based on...
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An Experimental Investigation on the Emotion Recognition Using Power Spectrum Density and Machine Learning Algorithms in EEG Signals
Emotion recognition is a technique for identifying and classifying human emotions by combining biosensing, face recognition, speech and voice...
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Periodogram estimation based on LSSVR-CCPSO compensation for forecasting ship motion
A ship motion time series (SMTS) exhibits obvious periodicity under the effects of periodic wave and strong nonlinearity owing to wind, ocean...
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Estimation of parameters of two-dimensional random amplitude chirp signal in additive noise
In this paper, we consider a two-dimensional random amplitude chirp signal model. It is assumed that the additive error is independent and...
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A noise PSD estimation algorithm using derivative-based high-pass filter in non-stationary noise conditions
The minimum mean-square error (MMSE)-based noise PSD estimators have been used widely for speech enhancement. However, the MMSE noise PSD estimators...
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AR model-based crosstalk cancellation method for operational transfer path analysis
To reduce the crosstalk effects between the signals at reference points in operational transfer path analysis (OTPA) and improve the reliability of...
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Introduction to Spectral and Correlation Analysis: Basic Measurements and Methods
Spectral analysis is one of the most important tools used in experimental structural dynamics. This can be partly explained by the fact that the...
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Analysis of PQ Disturbances in Renewable Grid Integration System Using Non-parametric Spectral Estimation Approach
This paper presents non-parametric spectral estimation of power quality disturbances occurring in photovoltaic and wind-integrated systems. The...
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Detection of Winding (Shorted-Turn) Fault in Induction Machine at Incipient Stage Using DC-Centered Periodogram
The problem of detecting shorted turns faults in stator windings has been difficult. The risk of the failure or the breaking down of this machine can...
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Analysis and Classification of EEG Signals from Passive Mobilization in ICU Sedated Patients and Non-sedated Volunteers
Electroencephalography (EEG) has been the focus of research and advances for many years, yet there are several tasks to be explore and methods to be...
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Comparison of Methods for Parameter Estimating of Superimposed Sinusoids
The task of parameter estimation of signal components from a finite number of noisy discrete measurements is an active area of research. Different...
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Estimation and Estimator Properties
Mathematical modeling is an important part of many fields of engineering and science. Mathematical models are used to simulate physical systems and...
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Impact of Traffic Sampling on LRD Estimation
Network traffic sampling is an effective method for understanding the behavior and dynamics of a network, being essential to assist network planning...
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An Analysis of Periodogram Based on a Discrete Cosine Transform for Spectrum Sensing
One of the complex problems nowadays in communication systems is the lack of frequency spectrum. To solve this problem, cognitive radio is considered...
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Operational Modal Testing of Large Wind Turbine Blades
The demand for global electricity is expected to increase steeply in the coming years. In the worldwide quest for more renewable energy sources, the...
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Quantile-Frequency Analysis and Deep Learning for Signal Classification
This paper proposes a new method for signal classification based on a combination of deep-learning (DL) image classifiers and recently introduced...
