Short-time Fourier analysis via optimal harmonic FIR filters

1997 ◽  
Vol 45 (6) ◽  
pp. 1535-1542 ◽  
Author(s):  
Sang Hwan Park ◽  
Wook Hyun Kwon ◽  
Oh Kyu Kwon ◽  
Myung-Joon Kim
2011 ◽  
Vol 301-303 ◽  
pp. 1560-1567 ◽  
Author(s):  
Man Chen ◽  
Biao Ma

The paper analyzes the failure mechanism of the wet shifting clutch, and puts forward the concept that the deformation of the clutch friction plate leads to the irregular collision between the driving and driven sides of disengaged clutch and accordingly forms the transient pulse signal; the short-time Fourier analysis on the vibration signals of failed clutch obtained via test proves such concept. The transient pulse signal in the relatively strong background signal is clearly extracted through the wavelet decomposition after zero setting, and an efficient wet shifting clutch fault diagnosis method is hereby formed.


2000 ◽  
Vol 21 (2) ◽  
pp. 229-240 ◽  
Author(s):  
Sigrid Elsenbruch ◽  
Zhishun Wang ◽  
William C Orr ◽  
J D Z Chen

2014 ◽  
Author(s):  
Mireia Diez ◽  
Mikel Penagarikano ◽  
German Bordel ◽  
Amparo Varona ◽  
Luis Javier Rodriguez-Fuentes

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1533 ◽  
Author(s):  
Mohammed Bahoura

This paper proposes a simple and efficient FPGA-based architecture of the overlapping/windowing and overlap-add methods for real-time FFT/IFFT-based signal processing algorithms. The analyzed signal is divided into short-time overlapping frames that are windowed before applying Fourier analysis/synthesis. Then, the original signal is reconstructed from the windowed (modified) frames using the overlap-add (OLA) technique. The proposed architecture was implemented on Field Programmable Gate Array (FPGA) using a high-level programming tool in MATLAB/SIMULINK environment. Its performance was evaluated on artificial and actual signals using objective metrics.


1983 ◽  
Vol 5 (2) ◽  
pp. 117-135 ◽  
Author(s):  
M. Fink ◽  
F. Hottier ◽  
J.F. Cardoso

Short-time Fourier analysis is well suited for processing tissue echographic signals which are nonstationary. We have investigated the use of short-time Fourier analysis to provide an estimation of the echographic spectral composition as a function of time. It will be shown that the time dependence of the spectral centroid of this representation allows one to deduce easily the frequency-dependent attenuation. A simple correction of the noninvariant filtering effect due to diffraction is used to unbias the attenuation slope estimation. This new signal processing technique was first tested on simulated echographic data from a 1-D tissue model. Experimental results obtained from echo signals on a tissue-like phantom and on in vivo liver tissue show the influence of diffraction and attenuation respectively.


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