2016
DOI: 10.1109/tbc.2015.2505412
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Optimizing Pulse Shaping Filter for DOCSIS Systems

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Cited by 6 publications
(3 citation statements)
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“…The above mentioned Gaussian filter introduces overlapping of the transmitted signal, and this causes the degradation and it is small if the 3 dB bandwidth bit duration product (BT) is greater than 0.5 values (Sadkhan et al, 2014). This ISI occurred by the channel can be controlled by filtering the shaped pulses (Nguyen et al, 2016). Earlier initially, the input data is in the form of NRZ, data and it is given to a pulse shaping filter (Gaussian filter) before feeding them to the LFM modulator.…”
Section: Blind Speed ¼ Wavelength Of the Transmitted Pulse 2ðpulse Rementioning
confidence: 99%
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“…The above mentioned Gaussian filter introduces overlapping of the transmitted signal, and this causes the degradation and it is small if the 3 dB bandwidth bit duration product (BT) is greater than 0.5 values (Sadkhan et al, 2014). This ISI occurred by the channel can be controlled by filtering the shaped pulses (Nguyen et al, 2016). Earlier initially, the input data is in the form of NRZ, data and it is given to a pulse shaping filter (Gaussian filter) before feeding them to the LFM modulator.…”
Section: Blind Speed ¼ Wavelength Of the Transmitted Pulse 2ðpulse Rementioning
confidence: 99%
“…In this paper, the same filter design will also use in the receiver section and is equally proportioned in the form of matched filter. Pulse shaping is an important task performed on the transmitter side and in order to reduce the effective bandwidth during transmission suitable Gaussian low pass filter is used (Nguyen et al, 2016). The choice of bandwidth B and bit-rate T is a compromise between spectrum efficiency and BER performance (Said, El-Henawey, & El-Kouny, 2013).…”
Section: System Descriptionmentioning
confidence: 99%
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