In the proposed work, a novel application of a numerical and functional analysis based on the discrete wavelet transform is discussed. The mathematics of improving signals and removing noises are described. Results obtained show that the method used in a variety of gamma spectra is superior to other techniques
Signals acquired from an industrial environment with many sources of electromagnetic interferences m...
A comparative study of the Fourier (FT) and the wavelet transforms (WT) for instrumental signal deno...
Wavelet theory is a relatively new tool for signal analysis. Although the rst wavelet was derived by...
In the present paper, we propose a wavelet analysis technique to evaluate the noise filtering charac...
A method to optimize the parameters used in signal denoising in the wavelet domain is presented. The...
Conference PaperA new nonlinear noise reduction method is presented that uses the discrete wavelet t...
In the field of signal processing, one of the underlying enemies in obtaining a good quality signal ...
During the process of signal testing, often exposed to interference and influence of all kinds of no...
Instrumental data always present some noise. The analytical data information and instrumental noise ...
In this work new methods are proposed to reduce noise in signals. These methods are based on the di...
Instrumental data always present some noise. The analytical data information and instrumental noise ...
The capacity of the data channels is often reduced due to noise and distortion of the transmitted si...
Traditional techniques for reducing ultrasonic signal noise are based on the optimum frequency of an...
In this paper, we propose an effective noise reduction method for photon counting imaging using a di...
Conference PaperA novel approach for noise reduction is presented. Similar to Donoho, we employ thre...
Signals acquired from an industrial environment with many sources of electromagnetic interferences m...
A comparative study of the Fourier (FT) and the wavelet transforms (WT) for instrumental signal deno...
Wavelet theory is a relatively new tool for signal analysis. Although the rst wavelet was derived by...
In the present paper, we propose a wavelet analysis technique to evaluate the noise filtering charac...
A method to optimize the parameters used in signal denoising in the wavelet domain is presented. The...
Conference PaperA new nonlinear noise reduction method is presented that uses the discrete wavelet t...
In the field of signal processing, one of the underlying enemies in obtaining a good quality signal ...
During the process of signal testing, often exposed to interference and influence of all kinds of no...
Instrumental data always present some noise. The analytical data information and instrumental noise ...
In this work new methods are proposed to reduce noise in signals. These methods are based on the di...
Instrumental data always present some noise. The analytical data information and instrumental noise ...
The capacity of the data channels is often reduced due to noise and distortion of the transmitted si...
Traditional techniques for reducing ultrasonic signal noise are based on the optimum frequency of an...
In this paper, we propose an effective noise reduction method for photon counting imaging using a di...
Conference PaperA novel approach for noise reduction is presented. Similar to Donoho, we employ thre...
Signals acquired from an industrial environment with many sources of electromagnetic interferences m...
A comparative study of the Fourier (FT) and the wavelet transforms (WT) for instrumental signal deno...
Wavelet theory is a relatively new tool for signal analysis. Although the rst wavelet was derived by...