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In this paper, a new objective measure is proposed to assess the amount of the wide-band musical noise in an acoustic signal. The measure uses time and frequency characteristics of the musical noise to determine the musicalness of the residual noise. The proposed measure uses noise masking thresholds to measure how much audible the musical noise components are. Furthermore, a harmonicity measure is...
This paper proposes a method of monitoring and analyzing interharmonics in power system based on wavelet transform and AR model. First, utilizes wavelet denoising method of sqtwolog soft threshold to eliminate the high-frequency noise of sampled signals containing interharmonics signal. Then, the parameters of interharmonics are identified by using the Burg arithmetic of AR model, and the wavelet...
We propose a four-dimensional reconstruction method for noise reduction in gated cardiac SPECT images. Aiming to exploit the periodic nature of cardiac motion, we use a Fourier harmonic representation to model the image activities along the gated temporal dimension. We develop a penalized least-squares approach to reconstruct the different harmonics in the representation model, which also takes into...
Due to the weak energy and nonstationarity, incipient fault characteristic signals are usually submerged by vibration signals of rotary machine and noise. Based on the multi-resolution feature and time-frequency localization feature of Wavelet Transform, a method to extract fault characteristic signals by decomposing them into corresponding time-frequency segmentations is presented. The noise is attenuated,...
In this paper we performed assessment of both wavelet and SVD based techniques and proposed a hybrid method by combining wavelet and SVD for the filtering of noise in harmonics. In the first step of the algorithm, wavelet denoising is applied to the noisy signal as pre-processing (gross filtering) step. Singular value decomposition is then applied to a data matrix formed from the denoised signal....
A two stage speech enhancement technique is presented in this paper. We show that overall denoising efficiency can be further improved by incorporating a residual processing technique with a conventional speech denoising method. The reminiscent speech components extracted from the residual using a harmonic model in the voiced frames and a simple yet effective time-domain thresholding technique in...
In this paper, we are interested in bi-channel speech denoising by exploiting the ldquosimilarityrdquo between the observations expressed in term of spectral coherence function. Periodic/aperiodic decomposition, a powerful tool for speech analysis is used to improve speech denoising. More precisely, instead of applying coherence based filter to the couple of observations, we refine noisy observations...
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