Title :
A correlation approach to time-frequency representations
Author_Institution :
Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
Abstract :
A method for analyzing and understanding time-frequency representations is introduced. The method is based on a nonstationary correlation function. Using this function and a specified estimation method, a Wiener-Knitchine-type spectral density for time-varying signals is defined. This spectral density provides many time-frequency representations and allows simple intuitive understanding of their properties
Keywords :
correlation methods; speech analysis and processing; time-frequency analysis; Wiener-Knitchine-type spectral density; correlation approach; estimation method; speech signal processing; time-frequency representations; time-varying signals; Autocorrelation; Energy measurement; Filtering; Kernel; Random processes; Signal processing; Signal resolution; Speech processing; Time frequency analysis; Time measurement;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0805-0
DOI :
10.1109/TFTSA.1992.274191
