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Time Frequency Spectral Representation

By Gashaye, Amare Terefe

Time Frequency Spectral Representation

By Gashaye, Amare Terefe

0 - Default Title
Description
The time-frequency (TF) spectral representation of Auditory Brainstem Response (ABR) signal data provides information about their spectral contents. We apply the Spectrogram, Thomson Multitaper and Peak Matched Multiple Window (PM MW) spectral estimation methods to four different number of clicks per average (i.e., 1313, 300, 100 and 50 number of clicks per average) of a simulated signal data. For the purpose of model selection we simulate sinusoidal signal data which have the same trend as the empirical ABR signal data, and then apply the selected model to ABR data from 17 healthy, normal hearing individual ears as recorded using SD-BERA, SensoDetect-Brainstem Evoked Response Audiometry. The root mean square error (RMSE) is the main tool used to compare the proposed spectral estimation methods. The Spectrogram is found to be an appropriate method of spectral estimation for signals with relatively low disturbance.
Product details
Binding:
Paperback
Number of Pages:
92
Release Date:
2025-11-03
Publication Date:
2025-11-03
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6209189563
ISBN13:
9786209189562
GPSR Manufacturer Reference:
[email protected]
Weight:
155 g
Height:
150 cm
Width:
220 cm
Thickness:
6 cm
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