TY - JOUR
T1 - Approach for fast time-frequency analysis
AU - Cheng, Chun Hing
AU - Pradhan, Pyari Mohan
AU - Mitchell, Joseph Ross
N1 - Publisher Copyright:
© 2014 The Institution of Engineering and Technology.
PY - 2014/6/1
Y1 - 2014/6/1
N2 - S-transform (ST) is a time-frequency representation (TFR) that is popularly used in a variety of applications, but prohibitive in both storage and computation for large time series. This study proposes a one-dimensional fast time-frequency transform (FTFT-1D) which generates a highly compressed form of the ST directly, without the need to compute the complete ST matrix initially and compress it subsequently. The compression technique used in the FTFT-1D helps in storage, transmission and visualisation of the ST. The FTFT-1D encodes the TFR information uniformly and finds the local spectrum instantaneously and accurately. It is useful for real-time applications such as monitoring, control and filtering. In addition, the FTFT-1D is memory efficient, robust and adaptive in nature.
AB - S-transform (ST) is a time-frequency representation (TFR) that is popularly used in a variety of applications, but prohibitive in both storage and computation for large time series. This study proposes a one-dimensional fast time-frequency transform (FTFT-1D) which generates a highly compressed form of the ST directly, without the need to compute the complete ST matrix initially and compress it subsequently. The compression technique used in the FTFT-1D helps in storage, transmission and visualisation of the ST. The FTFT-1D encodes the TFR information uniformly and finds the local spectrum instantaneously and accurately. It is useful for real-time applications such as monitoring, control and filtering. In addition, the FTFT-1D is memory efficient, robust and adaptive in nature.
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U2 - 10.1049/iet-spr.2013.0157
DO - 10.1049/iet-spr.2013.0157
M3 - Article
AN - SCOPUS:84920939834
SN - 1751-9675
VL - 8
SP - 360
EP - 372
JO - IET Signal Processing
JF - IET Signal Processing
IS - 4
ER -