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Full-Text Articles in Electrical and Computer Engineering
Hvdc Systems Fault Analysis Using Various Signal Processing Techniques, Benish Paily
Hvdc Systems Fault Analysis Using Various Signal Processing Techniques, Benish Paily
Doctoral
The detection and fast clearance of faults are important for the safe and optimal operation of HVDC systems. In HVDC systems, various types of AC faults (rectifier & inverter side) and DC faults can occur. It is therefore necessary to detect the faults and classify them for better protection and diagnostics purposes. Various techniques for fault detection and classification in HVDC systems using signal processing techniques are presented and investigated in this research work. In this research work, it is shown that the wavelet transformation can effectively detect abrupt changes in system signals which are indicative of a fault. This …
Digital Signal Processing Foundations, David Dorran
Digital Signal Processing Foundations, David Dorran
Other resources
Signals are all around us and come in a wide variety of shapes and forms. When we speak we create pressure variations in the air which generate audio signals; earthquakes produce large seismic signals; healthcare professionals monitor ECG signals which capture the electrical activity of the heart; radio, internet and telephone signals are being transmitted across the world; the list of signals is endless! (see 2 minute video at pzdsp.com/vid1 for some examples) Digital signal processing (DSP) is primarily about making use of computers to help us analyse and manipulate signals in order to help us with our everyday lives. …
Measuring And Monitoring Speech Quality For Voice Over Ip With Polqa, Visqol And P.563, Andrew Hines, Eoin Gillen, Naomi Harte
Measuring And Monitoring Speech Quality For Voice Over Ip With Polqa, Visqol And P.563, Andrew Hines, Eoin Gillen, Naomi Harte
Conference papers
There are many types of degradation which can occur in Voice over IP (VoIP) calls. Of interest in this work are degradations which occur independently of the codec, hardware or network in use. Specifically, their effect on the subjective and objec- tive quality of the speech is examined. Since no dataset suit- able for this purpose exists, a new dataset (TCD-VoIP) has been created and has been made publicly available. The dataset con- tains speech clips suffering from a range of common call qual- ity degradations, as well as a set of subjective opinion scores on the clips from 24 …