| Paper: | SPTM-P6.6 | ||
| Session: | Non-Stationary Signal Analysis and Modeling | ||
| Time: | Thursday, May 20, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Non-stationary Signals & Time-Frequency Analysis | ||
| Title: | NOVEL APPROACH TO AM-FM DECOMPOSITION WITH APPLICATIONS TO SPEECH AND MUSIC ANALYSIS | ||
| Authors: | Seelamantula Chandra Sekhar; Indian Institute of Science | ||
| Thippur V. Sreenivas; Indian Institute of Science | |||
| Abstract: | We present a new zero-crossing based algorithm for decomposing abandpass signal into the AM and FM components. In this sequentialalgorithm, the FM component is first estimated using zero-crossinginstant information in a k-Nearest Neighbour (k-NN) framework. TheAM component is estimated by coherent demodulation using a time-varying lowpass filter that uses the estimated instantaneous frequency.Simulation results show that the proposed algorithm gives more accurateenvelope and frequency estimates compared to the Discrete-Energy SeparationAlgorithm (DESA) which uses the Teager energy operator. Using the proposed approach on bandpass filtered speech and music, we can extractthe fine structured modulations that occur on a micro-time scale, withinan analysis frame. | ||
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