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Designing high-resolution time–frequency and time–scale distributions for the analysis and classification of non-stationary signals: a tutorial review with a comparison of features performance
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Elsevier Inc.
, 2018 , Article)
This paper deals with the problem of extracting information from non-stationary signals in the form of features that can be used for effective decision-making in both data analysis and machine learning for automatic ...
Robust multisensor time–frequency signal processing: A tutorial review with illustrations of performance enhancement in selected application areas
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Elsevier Inc.
, 2018 , Article)
This paper presents high-resolution multisensor time–frequency distributions (MTFDs) and their applications to the analysis of multichannel non-stationary signals. The approach combines high-resolution time–frequency ...
An improved time–frequency noise reduction method using a psycho-acoustic Mel model
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Elsevier Inc.
, 2018 , Article)
This paper addresses the problem of noise reduction in non-stationary signals. The paper first describes a human physiology based time?frequency (TF) representation (HPTF) using Mel filterbanks. It is then used to improve ...
Effects of environmental and climatic conditions on PV efficiency in qatar
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European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ)
, 2013 , Article)
The sensitivity of various solar photovoltaic technologies towards dust, temperature and relative humidity is investigated for Qatar’s environment. Results obtained show that dust accumulation has the great effect on ...
1-D Convolutional Neural Networks for Signal Processing Applications
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific ECG classification, structural health monitoring, anomaly ...
A novel DSTATCOM with 5-level CHB architecture and selective harmonic mitigation algorithm
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Elsevier Ltd
, 2016 , Article)
This paper proposes a five level cascaded converter for Distribution Static Compensator (DSTATCOM) implementing a novel modulation algorithm with harmonic mitigation and a PI controller with phase shift modulation for ...
Vehicle-to-grid technology for cost reduction and uncertainty management integrated with solar power
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Elsevier Ltd
, 2019 , Article)
This paper optimizes the operation of electric vehicles in small charging stations deployed in electrical distribution networks. The grid is equipped with small-scale charging stations rather than one large-scale charging ...
A bidirectional non-isolated hybrid modular DC-DC converter with zero-voltage switching
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Elsevier Ltd
, 2019 , Article)
In this paper, a bidirectional non-isolated hybrid modular DC-DC converter for high-voltage (HV) applications is investigated. In this configuration, conventional Half-Bridge Sub-Modules (HB-SMs) are employed. The proposed ...
Fault detection and isolation of a dual spool gas turbine engine using dynamic neural networks and multiple model approach
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Elsevier Inc.
, 2014 , Article)
In this paper, a fault detection and isolation (FDI) scheme for an aircraft jet engine is developed. The proposed FDI system is based on the multiple model approach and utilizes dynamic neural networks (DNNs) to accomplish ...
Optimal correlation of non-renewable and renewable generating systems for producing hydrogen and methane by power to gas process
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Elsevier Ltd
, 2019 , Article)
This paper presents an efficient framework for converting renewable energy to gas and reducing Carbon dioxide (CO 2 ) footprint at the same time. The problem is presented in two levels. The first level is a minimization ...