Audio Denoising Based on Short Time Fourier Transform

Ashwin, J. S.; Manoharan, N.

doi:10.11591/ijeecs.v9.i1.pp89-92

Cited by 7 publications

(5 citation statements)

References 8 publications

(8 reference statements)

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“…This localization window is then shifted in time to produce the local spectrum for the duration of the existence of x(t). The resulting spectral power is called spectrogram [3]- [5].…”

Section: Methods Of Analysis 21 Short-time Fourier Transformmentioning

confidence: 99%

Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasound Signals

Latfaoui¹,

Reguig²

2018

IJECE

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<p>Ultrasonic Doppler signals are widely used in the detection of cardiovascular pathologies or the evaluation of the degree of stenosis in the femoral arteries. The presence of stenosis can be indicated by disturbing the blood flow in the femoral arteries, causing spectral broadening of the Doppler signal. To analyze these types of signals and determine stenosis index, a number of time-frequency methods have been developed, such as the short-time Fourier transform, the continuous wavelets transform, the wavelet packet transform, and the S-transform.</p>

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“…This localization window is then shifted in time to produce the local spectrum for the duration of the existence of x(t). The resulting spectral power is called spectrogram [3]- [5].…”

Section: Methods Of Analysis 21 Short-time Fourier Transformmentioning

confidence: 99%

Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasound Signals

Latfaoui¹,

Reguig²

2018

IJECE

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show abstract

“…This mechanism was introduced by French mathematician Joseph Fourier. As no information is added or lost during the Fourier transform process, the original time domain signal can be reobtained after performing the necessary analysis on the frequency domain signal using the inverse Fourier transform (Smith, 2008;Ashwin & Manoharan, 2018;Zhang, 2019).…”

Section: Fourier Transformmentioning

confidence: 99%

High-frequency Noise Removal of Vintage Songs in Audio Cassettes using Signal Processing Techniques

Fernando

Kularathne

2023

VJScience

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From 1960 to the early 2000s, the audio cassette was one of the three most used storage devices for prerecorded music, alongside gramophone records (LPs) and compact discs (CDs). A compact cassette consists of two miniature spools, between which a magnetic tape is passed and wound. The tape head in tape recorders and cassette players is used to store and play audio tracks in these magnetic tapes by converting the electric signal to a magnetic fluctuation and vice versa. The sound quality of an audio track recorded on a compact cassette is decent. However, as these cassettes are stored in the Earth’s magnetic field for longer periods, the effect from it influences magnetic particles to change their orientation and distort the recorded audio signal. As a result, high-frequency noise is generated in the audio signal, resulting in a great disturbance when listening to songs and other audio recordings on vintage cassettes. 168Therefore, the removal of such noises while minimizing the impact on the original audio signal will make sure the listener gets to enjoy the original quality of the vintage audio recordings. Fourier transform of a given distorted audio file (in “wav” format) was obtained to identify the high-frequency noise using Wolfram Mathematica 12.3. Then a variable “m” was introduced to the program to identify magnitudes of high-frequency components and remove their effect on the original audio recording. A trial-and-error approach was taken to identify the adequate “m" value for each channel of a given audio signal. Vintage songs were used to evaluate the accuracy of the developed method in this study. It was identified that the suitable “m” value changes for each channel in each song. Therefore, it is impossible to state a constant value for the variable “m”. However, the accuracy of the output also depends on the hearing frequency of the person, and the audio equipment being used. As an application, this technique can be used to conserve vintage songs that were originally stored in compact cassettes and spools, because it allows the user to control the number of high-frequency components removed from the distorted audio signal. Keywords: Signal Processing Techniques, Fourier Transforms, Mathematica, Noise Removing,Audio Cassettes

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“…STFT is a significant tool for indicating a signal in both the frequency and time [84], [92]- [94]. The signal spectral characteristic in time domain can be recognised using the TFR.…”

Section: Short Time Fourier Transformmentioning

confidence: 99%

An analysis of voltage source inverter switches fault classification using short time Fourier transform

Manap

Nikolovski

Skamyin

et al. 2021

IJPEDS

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<p>The dependability of power electronics systems, such as three-phase inverters, is critical in a variety of applications. Different types of failures that occur in an inverter circuit might affect system operation and raise the entire cost of the manufacturing process. As a result, detecting and identifying inverter problems for such devices is critical in industry. This study presents the short-time Fourier transform (STFT) for fault classification and identification in three-phase type, voltage source inverter (VSI) switches. TFR represents the signal analysis of STFT, which includes total harmonic distortion, instantaneous RMS current, RMS fundamental current, total non harmonic distortion, total waveform distortion and average current. The features of the faults are used with a rule-based classifier based on the signal parameters to categorise and detect the switch faults. The suggested method's performance is evaluated using 60 signals containing short and open circuit faults with varying characteristics for each switch in VSI. The classification results demonstrate the proposed technique is good to be implemented for VSI switches faults classification, with an accuracy classification rate of 98.3 percent.</p>

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Audio Denoising Based on Short Time Fourier Transform

Cited by 7 publications

References 8 publications

Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasound Signals

Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasound Signals

High-frequency Noise Removal of Vintage Songs in Audio Cassettes using Signal Processing Techniques

An analysis of voltage source inverter switches fault classification using short time Fourier transform

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