A New Class of Asynchronous A/D Converters Based on Time Quantization
ASYNC '03 Proceedings of the 9th International Symposium on Asynchronous Circuits and Systems
A Level-Crossing Flash Asynchronous Analog-to-Digital Converter
ASYNC '06 Proceedings of the 12th IEEE International Symposium on Asynchronous Circuits and Systems
Adaptive window zero-crossing-based instantaneous frequency estimation
EURASIP Journal on Applied Signal Processing
Improved instantaneous frequency estimation using an adaptiveshort-time Fourier transform
IEEE Transactions on Signal Processing
Adaptive rate sampling and filtering based on level crossing sampling
EURASIP Journal on Advances in Signal Processing
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The short-time Fourier transform (STFT) is a classical tool, used for characterizing the time varying signals. 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 characteristics. Therefore, it provides an adaptive resolution time-frequency representation of the input signal. 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.