Short-time Fourier Transform analysis of EEG signal generated during imagined writing
Short-time Fourier Transform (STFT) analysis is one of the techniques to reveal the
frequency contents of the EEG signals at each time point. This information can be used to …
frequency contents of the EEG signals at each time point. This information can be used to …
Lie detection using extreme learning machine: A concealed information test based on short‐time Fourier transform and binary bat optimization using a novel fitness …
Lie detection is one of the major challenges that is being faced by the forensic sciences.
Identification of lie on the basis of a person's mental behavior is a tedious task. Brain …
Identification of lie on the basis of a person's mental behavior is a tedious task. Brain …
Identification of schizophrenia using LSTM recurrent neural network
CM Sujatha - 2021 seventh international conference on bio …, 2021 - ieeexplore.ieee.org
Schizophrenia is a severe psychiatric illness that greatly affects the quality of life. Early
discovery of psychiatric onset and progression are of great significance for bestowing …
discovery of psychiatric onset and progression are of great significance for bestowing …
Applied and Numerical Harmonic Analysis
JJ Benedetto - (No Title), 2007 - Springer
Frame theory is nowadays a fundamental research area in mathematics, computer science,
and engineering with many exciting applications in a variety of different fields. Introduced in …
and engineering with many exciting applications in a variety of different fields. Introduced in …
Blind Signals Separation in wireless communications based on Compressive Sensing
The algorithm for separation of signals from two different wireless standards (Bluetooth and
IEEE 802.11 b standard), operating within the same frequency band is proposed in this …
IEEE 802.11 b standard), operating within the same frequency band is proposed in this …
FHSS signal characterization based on the crossterms free time-frequency distributions
The application of the Cohen class time-frequency distributions has been considered for the
analysis of signals in wireless communications. Several distributions are considered …
analysis of signals in wireless communications. Several distributions are considered …
Time-frequency based analysis of wireless signals
This paper deals with signal characterization in communication systems. An algorithm for
components separation of highly multicomponent wireless signals has been described …
components separation of highly multicomponent wireless signals has been described …
[PDF][PDF] Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue
A Afram, D Sarab Fard Sabet - 2023 - diva-portal.org
Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times,
which can vary. Various mechanisms can cause muscle fatigue which signifies that the …
which can vary. Various mechanisms can cause muscle fatigue which signifies that the …
Spread-spectrum-modulated signal denoising based on median ambiguity function
The paper proposes an application of the median form ambiguity function in direct sequence
spread spectrum modulated signals denoising. The observed signals are multicomponent …
spread spectrum modulated signals denoising. The observed signals are multicomponent …
S-method based eigenvalue decompositon for analysis of multicomponent communication signals
An application of the eigenvalue decomposition method to the multicomponent
communication signals is considered in this paper. The method is tested on the synthetic …
communication signals is considered in this paper. The method is tested on the synthetic …