TY  - JOUR
T1  - W-STFRFT: Wiener Filtering in Short-Time Fractional Fourier
Domain for Chirp Signal Enhancement
AU - Jaisi Praba, P. AU - Sathianathan, Vinsley 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 23
SP  - 4744
EP  - 4757
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.4744.4757
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.4744.4757
KW  - Short-time fractional fourier transform
KW  -chirp signal
KW  -wiener filter
KW  -SNR
KW  -MSE
AB  - The major target of our research is to design and develop wiener filtering based on Short Time
Fractional Fourier Transform for chirp signal enhancement. One of the efficient methods to analyze the chirp
signal is fractional Fourier Transform (FRFT). Still, it fails in locating the Fractional Fourier Domain (FRFD)
frequency contents which is required in some applications. For that reason in our research, we introduce the
Short-Time Fractional Fourier Transform (STFRFT) for chirp signal enhancement. Using the advantage of
STFRFT, we plan to design the wiener filtering based on STFRFT. In this study, at first the input signal is split
in to two signals such as clean chirp signal and the noisy chirp signal based on the size of the hamming
window. After that, multiplying the hamming window function with the frame of the signal is then multiplied
with the Fractional Fourier Transform (FRFT). Finally, we apply the wiener filter to remove the noise from
the signal. In experimental evaluation, we generate the mono signal model to compare the results of our
proposed method.We compare our proposed technique with the wiener filter based on STFT, FFT and FRFT.
Here, we obtain the maximum SNR of 30.79 db which is high compare to existing approach.
ER  -