TY - GEN
T1 - Non-linear down-sampling and signal reconstruction, without folding
AU - Kabir, Hussain Mohammed Dipu
AU - Alam, Syed Bahauddin
AU - Azam, Md Isme
AU - Hussain, Mohammad Arafat
AU - Rafl Sazzad, A. B.M.
AU - Sakib, Md Nazmus
AU - Matin, Md Abdul
PY - 2010
Y1 - 2010
N2 - This paper presents a theory of 1.5 factor nonlinear down-sampling, reconstruction and noise elimination. For linear down sampling of two or three factor, one sample is taken and next one or two samples are not taken/discarded. Here in non-linear down sampling two or three samples are taken and the next one is not taken. The purpose of this nonlinear down sampling is to send less data samples in voice communication. Though one sample is discarded after taking two samples value of this sample can be reconstructed from values of other samples. Here, two samples are at original sampling period, Ts interval and next two samples are at 2Ts interval. High-frequency sharp changes were extracted when sampled at Ts interval. From received signal, discarded sample can be reconstructed from nearby four samples (Previous two and next two). When original signal contains higher frequency some error signal is introduced, after reconstruction. This error signal depends on original signal. Error signal is eliminated using original signal. Down-sampling is performed after sampling and signal reconstruction is performed just before hearing the sound.
AB - This paper presents a theory of 1.5 factor nonlinear down-sampling, reconstruction and noise elimination. For linear down sampling of two or three factor, one sample is taken and next one or two samples are not taken/discarded. Here in non-linear down sampling two or three samples are taken and the next one is not taken. The purpose of this nonlinear down sampling is to send less data samples in voice communication. Though one sample is discarded after taking two samples value of this sample can be reconstructed from values of other samples. Here, two samples are at original sampling period, Ts interval and next two samples are at 2Ts interval. High-frequency sharp changes were extracted when sampled at Ts interval. From received signal, discarded sample can be reconstructed from nearby four samples (Previous two and next two). When original signal contains higher frequency some error signal is introduced, after reconstruction. This error signal depends on original signal. Error signal is eliminated using original signal. Down-sampling is performed after sampling and signal reconstruction is performed just before hearing the sound.
KW - Down-sampling
KW - Frequency folding and noise elimination
KW - Interpolation
KW - LPC
KW - PCM
UR - http://www.scopus.com/inward/record.url?scp=79952165868&partnerID=8YFLogxK
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U2 - 10.1109/EMS.2010.34
DO - 10.1109/EMS.2010.34
M3 - Conference contribution
AN - SCOPUS:79952165868
SN - 9780769543086
T3 - Proceedings - UKSim 4th European Modelling Symposium on Computer Modelling and Simulation, EMS2010
SP - 142
EP - 146
BT - Proceedings - UKSim 4th European Modelling Symposium on Computer Modelling and Simulation, EMS2010
T2 - UKSim 4th European Modelling Symposium on Computer Modelling and Simulation, EMS2010
Y2 - 17 November 2010 through 19 November 2010
ER -