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Toplam kayıt 29, listelenen: 1-10
A hybrid measure for the discrimination of the acoustic signals: Feature matrix (FMx)
(2019)
We introduce a new feature matrix (FMx) to discriminate the acoustic signals with the help of their hybrid characteristics. The FMx has hybrid domain characteristics consisting of feature values such as distributional area ...
Timing studies of X Persei and the discovery of its transient quasi-periodic oscillation feature
(2014)
We present a timing analysis of X Persei (X Per) using observations made between 1998 and 2010 with the Proportional Counter Array (PCA) onboard the Rossi X-ray Timing Explorer (RXTE) and with the INTEGRAL Soft Gamma-Ray ...
A New Approach for the Acoustic Analysis of the Speech Pathology
(2017)
Voice disorders are a common physical problem that can be encountered today and can cause serious problems in the long term. It is necessary to analyze the voice and extract its characteristics correctly so that it can be ...
A New Portable Device for the Snore/Non-Snore Classification
(2017)
Snoring is widely known as a disease. The aim of this paper is to introduce and validate our newly developed snoring detection device to identify automatically snore and non-snore sounds using a nonlinear analysis technique. ...
A Simple Population Based Hybrid Harmonic Estimation Algorithm
(2016)
This paper presents a new hybrid algorithm for harmonic estimation. The algorithm combines a simple fast population based search algorithm with Least Squares Method. It is based on the structural property of the harmonic ...
A New Approach for Discriminating the Acoustic Signals: Largest Area Parameter (LAP)
(2018)
Feature extraction of sound signals is essential for the performance of applications such as pattern and voice recognition etc. In this study, a method based on a novel feature is proposed to separate pathological human ...
Deep Learning Based Multi Modal Approach for Pathological Sounds Classification
(2020)
Automatic detection of voice disorders is very important because it makes the diagnosis process simpler, cheaper and less time consuming. In the literature, there are many studies available on the analysis of voice disorders ...
An Approach to the Classification of Environmental Sounds by LSTM Based Transfer Learning Method
(2020)
This electronic Effective frequency extraction from acoustic environmental sounds in frequency and time axis increases the importance of voice recognition, sound detection, environmental classification in recently. For ...
Elevator Parking Approach in Nearest Car Method
(2018)
A fundamental factor that determines the system efficiency and the quality of service in elevator group control systems is the used elevator dispatching algorithm. Along with the elevator dispatching algorithm, using an ...