Approach for fast time-frequency analysis

作者：Cheng Chun Hing^*; Pradhan Pyari Mohan; Mitchell Joseph Ross

来源：IET Signal Processing, 2014, 8(4): 360-372.

DOI：10.1049/iet-spr.2013.0157

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.

• 出版日期2014-6