OPTIMIZED SNR FOR INTER SYMBOL INTERFERENCE REDUCTION OVER MODIFIED DFZF EQUALIZER FOR PACKET ERASURE NETWORK (20150386)
Authors :
ARJUN GHULE
, DR. PRABHU BENAKOP
Abstracts : A novel technique presented in this paper is
used to find an optimal signal to noise ratio (SNR) for
maximizing overall data throughput and system
performance for Automatic speech Recognition
(ASR) applications. In speech data transmission over
communication channels inter symbol Interference
(ISI) will occur. In this paper the major problem
faced while implementation is loss of data due to
inter symbol Interference. By changing multiplying
factor at feedback filter coefficients & Optimizing the
signal to noise ratio, receiver errors can be
minimized. DFZFE is used to combat ISI in wireless
channels. In literature, purpose of designing the
feed forward equalizer in the channel is treated
linear. .A drawback of this method is error
propagation due to the feedback.[15]. Feedback
angle is found to maximize the output signal-to-noise
ratio (SNR) [17]. Algorithm that achieves the same
equalization performances at a reduced complexity
are used [18]. Inter symbol Interference problem is
faced in many applications such as cognitive radio,
robotics, and sensor networks [19]
Pages : 13-15
Downloads : 141
Publication Date : 2017-07-25
Modified Date : 2018-01-17
Cite/Export
ARJUN GHULE ,
DR. PRABHU BENAKOP ,
"OPTIMIZED SNR FOR INTER SYMBOL INTERFERENCE REDUCTION OVER MODIFIED DFZF EQUALIZER FOR PACKET ERASURE NETWORK", JournalNX - A Multidisciplinary Peer Reviewed Journal, Volume 3, Issue 7, ISSN : 2581-4230, Page No. 13-15