Wavelet denoising for signals in quadrature
Integrated Computer-Aided Engineering
Influence of the antennas on the ultra-wideband transmission
EURASIP Journal on Applied Signal Processing
Signal Processing
The application of the Hilbert spectrum to the analysis of electromyographic signals
Information Sciences: an International Journal
Error Resilient Speech Coding Using Sub-band Hilbert Envelopes
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
Reverberant speech enhancement by temporal and spectral processing
IEEE Transactions on Audio, Speech, and Language Processing
Physical-layer identification of RFID devices
SSYM'09 Proceedings of the 18th conference on USENIX security symposium
Autoregressive models of amplitude modulations in audio compression
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Signal Processing
Enhancement of noisy speech by temporal and spectral processing
Speech Communication
An approach to the 2D hilbert transform for image processing applications
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
On computing with the Hilbert spline transform
Advances in Computational Mathematics
| Hi-index | 35.69 |
Starting with a real-valued N-point discrete-time signal, frequency-domain algorithms are provided for computing (1) the complex-valued standard N-point discrete-time “analytic” signal of the same sample rate; (2) the complex-valued decimated N/2-point discrete-time “analytic” signal of half the original sample rate; and (3) the complex-valued interpolated NM-point discrete-time “analytic” signal of M times the original sample rate. Special adjustment of the transform end points are shown to be necessary in order to generate proper discrete-time “analytic” signals