Conference Papers

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    Threshold setting model for the set partitioning in hierarchical trees (SPIHT) for audio
    (2011) Sondur, S.V.
    This paper describes applying the Set Partitioning in Hierarchical Trees (SPIHT) algorithm using a devised model to compress audio signals. It allows choosing the amount of compression based upon bit rate requirements. A threshold setting model, based on energy and frequency patterns of the signal is used to assist the SPIHT encoder set efficient threshold values, based upon the nature of the audio. It is thus adaptable to the nature of the audio as well as the bit rate requirement. The implementation can be used for storage as well as progressive transmission. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
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    Blast vibration signal analysis using S-transform
    (Institute of Electrical and Electronics Engineers Inc., 2016) Teja, V.V.S.A.; Chaitanya, S.V.; Akula, U.; Srihari, P.; Sastry, V.R.
    Rock blasting in mines and quarries is an important operation meant for fragmenting and displacing the hard rock mass / strata. The unavoidable environmental effect is the ground vibration, resulting from the wastage of explosive energy. Ground vibrations travelling to far off distances may have effect on the structures. Signal processing techniques play a vital role in analyzing the velocity of ground vibration signals in rock blasting. So far, time-frequency domain is being used for analyzing the ground vibration signals. However, usage of S-Transform, we get frequency dependent resolution of time-frequency domain. It is possible to simultaneously analyze the signal using time, frequency and amplitude values obtained by applying S-transform. A case study is presented in this paper, wherein the S-Transform is applied to the ground vibration velocity signals, which helps in better understanding and analysis of the signal compared to Fourier transform and Wavelet transform techniques. © 2016 IEEE.