Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Isabella, Reinhold"'
Publikováno v:
JASA express letters. 1(5)
This study evaluates the applicability of scaled reassigned spectrograms (ReSTS) on ultrasound radio frequency data obtained with a clinical linear array ultrasound transducer. The ReSTS's ability to resolve axially closely spaced objects in a phanto
Autor:
Isabella Reinhold, Maria Sandsten
Publikováno v:
Signal Processing. 198:108570
Autor:
Maria Sandsten, Rachele Anderson, Isabella Reinhold, Bo Bernhardsson, Carolina Bergeling, Mikael Johansson
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Autor:
Isabella Reinhold, Maria Sandsten
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Publikováno v:
ICASSP
In this paper, the matched reassigned spectrogram is expanded into a novel matched phase reassignment (MPR) method based on the reassigned cross-spectrogram. It is shown that for two phase synchronized oscillating transient signals, the method gives
Publikováno v:
ICASSP
The reassignment vectors of the matched reassigned spectrogram (MRS) have shown to be sensitive to noise, with resulting degraded precision in the time-frequency localization. In this paper we propose a multitaper reassignment (mtRS) method for estim
Publikováno v:
The Journal of the Acoustical Society of America. 143:2368-2378
An automatic component detection method for overlapping transient pulses in multi-component signals is presented and evaluated. The recently proposed scaled reassignment technique is shown to have the best achievable resolution for closely located Ga
Publikováno v:
Signal Processing. 183:107913
In this paper we present the matched window reassignment method, generalizing the results to complex valued signals in multiple dimensions. For an oscillating transient signal with an envelope shape described by an arbitrary twice differentiable func
Autor:
Isabella Reinhold, Maria Sandsten
Publikováno v:
Signal Processing. 133:250-259
Finding objective methods for assessing the performance of time-frequency distributions (TFD) of measured multi-component signals is not trivial. An optimal TFD should have well resolved signal components (auto-terms) and well suppressed cross-terms.