@article{(Open Science Index):https://publications.waset.org/pdf/12095,
	  title     = {Computationally Efficient Adaptive Rate Sampling and Adaptive Resolution Analysis},
	  author    = {Saeed Mian Qaisar and  Laurent Fesquet and  Marc Renaudin},
	  country	= {},
	  institution	= {},
	  abstract     = {Mostly the real life signals are time varying in nature. For proper characterization of such signals, time-frequency representation is required. The STFT (short-time Fourier transform) is a classical tool used for this purpose. The limitation of the STFT is its fixed time-frequency resolution. Thus, an enhanced version of the STFT, which is based on the cross-level sampling, is devised. It can adapt the sampling frequency and the window function length by following the input signal local variations. Therefore, it provides an adaptive resolution time-frequency representation of the input. The computational complexity of the proposed STFT is deduced and compared to the classical one. The results show a significant gain of the computational efficiency and hence of the processing power. The processing error of the proposed technique is also discussed.
},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {2},
	  number    = {5},
	  year      = {2008},
	  pages     = {979 - 984},
	  ee        = {https://publications.waset.org/pdf/12095},
	  url   	= {https://publications.waset.org/vol/17},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 17, 2008},
	}