Prediction Analysis of Noise Component Using Median-Based Filters Cascaded with Evolutionary Algorithms

Ramya, A.; Rajesh, Sudha; Karthick, G. S.

doi:10.1201/9781003126898-3

Cited by 1 publication

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“…The denoising audio signal tests are performed in Matlab, and the filter's performance is assessed using SNR and RMSE, as shown by equations ( 6) and (7), respectively. SNR: The signal-to-noise ratio (SNR) measures the relationship between the necessary output signal strength and the noise power that distorts the quality of the input signal.…”

Section: Performance Analysis and Resultsmentioning

confidence: 99%

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Anaudio Denoising Approach Using Hybrid Modified Fast Wavelet Transform Method

Senthilkumar¹,

2Asha.V²,

Ramesh³

et al. 2022

IJTRET

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Noise includes all unwelcome ambient sounds. If a sound is perceived as delightful music or annoying noise, it will be perceived as having the same decibel level. The fundamental drawback of noise in an audio signal is that it degrades the signal's quality during transmission over the communication system. Real-time audio signals are gathered for the present study using a microphone. The additive white Gaussian noise of AWGN is blended with a genuine audio source. The Median, Finite Impulse Response filter with Wavelet Transform approach is a hybrid filter for denoising audio signals that incorporates the Median Filter, FIR Filter, and Wavelet Transform techniques (MFWT). In this study Peak Signal to Noise Ratio and Mean Square Error (MSE) are used to assess MFWT performance(PSNR). In terms of SNR (82.04) and RMSE score, MFWT performs better than the median filter, FIR filter, and Wavelet transform (0.055).

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Section: Performance Analysis and Resultsmentioning

confidence: 99%

“…Low pass filters are used in transform domain filtering to remove noises by using a cut-off frequency and a frequency domain filter [6]. If the improper threshold is selected while using Wavelet-based calculations to reduce picture noise, the original image may become blurry [7].…”

Section: Introductionmentioning

confidence: 99%