Product of Two Time-Frequency Representations
Each time-frequency representation (TFR) has both its own advantages and disadvantages for nonstationary signal analysis. In this paper, an algorithm, nominated as product method, is proposed, which gains one new TFR by the product of two TFRs and integrates their advantages for some applications, especially keeps Wigner distributions (WDs) auto-term concentration and reduces the crossterms. Potential applications to some TFRs are discussed, such as short time Fourier transform and its spectrogram, Margenau-Hill- spectrogram distribution and WD. Then some instances illustrate that this simple method is valid and practicable, and has much less computational complexity except for the initial TFRs and better visual effect in virtue of auto-term concentration enhancement and cross-term reduction.
time-frequency representation product method auto-term concentration crossterm reduction
Tian Guangming Chen Guangju
College of Automation,University of Electronic Science and Technology of China,Chendu 610054 China;Institute of Systems Engineering,China Academy of Engineering Physics,Mianyang 621900 China
国际会议
西安
英文
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）