Sentence examples for spectral restoration from inspiring English sources

The ordinary data with spectral radiation information can be obtained through spectral restoration.

Spectral restoration methods for speech enhancement aim to remove noise components in noisy speech signals by using a gain function in the spectral domain.

For the errors produced by interference device and spectral restoration, HJ-1A hyperspectral data are disturbed with periodical strip at spatial domain, which is difficult to be eliminated by traditional radiance calibration methods [3].

The authors of [26] investigated several popular speech enhancement approaches and found that the maximum likelihood spectral amplitude estimator (MLSA) is the best spectral restoration method for DNNs trained with clean speech and tested on noisy data.

Despite this apparent spectral restoration, a substantial and irreversible decrease in the catalytic activity is observed for the H2O2-reacted CcO.

Bayesian inference is a well-established tool for data analysis [4 7] and has already found its way into the field of image processing, where Bayesian methods are frequently employed for spectral-reflectance recovery and image restoration [2, 8 11].

In other words, the restoration of the information lost in spectral (close-to) zeros works best if these spectral (close-to) zeros are not clustered.

The most prominent examples of waveform processing are the spectral subtraction method [1], spectral or cepstral restoration [2], Wiener filter [3], the Wiener filtering extensions [4, 5], and adaptive filtering type [6].

The cyclic acid-base treatment of the low temperature fractions results in restoration of their polyaniline-like spectral, electrochemical, electric and paramagnetic properties.

Monitoring and evaluating the nutritional status of vegetation under stress from exhausted coal mining sites by hyper-spectral remote sensing is important in future ecological restoration engineering.

Restoration of lung volume with PEEP reverses the spectral changes entirely, suggesting that the spectral power abnormalities depend primarily on the severity of regional gas volume loss in the pulmonary parenchyma and could potentially be used to optimize the level of PEEP.