because the underlying physiology of pathological tremor in a parkinson's patient is not well understood, the existing physical and drug therapies have not been successful in tremor treatment. different mathematical modeling of such vibration has been introduced to investigate the problem and reduce the existing vibration. most of the models have represented the induced vibration as a sinusoida...

Many structures and algorithms have been developed for linear narrowband active noise control (NANC) systems, which are effective in suppressing sinusoidal noise generated by rotating machines and devices with reciprocating motion. However, the conventional linear NANC systems may seriously suffer from performance degradation due to the nonlinear distortions which, large or small, usually exist...

This paper presents a new single channel noise reduction method for suppressing periodic alarm noise in telephony speech. The presence of background alarm noise can significantly detract from the intelligibility of telephony speech received by emergency services, and in particular, by the fire brigade control rooms. The attraction of the proposed approach is that it targets the alarm noise with...

Images are rich information carriers and (such as medical images) are normally contaminated by additive and substitutive noise which makes the extraction of features (and clinical data analysis) difficult. Hence to enhance the image quality prior to post processing, image pre-processing operations such as de-noising with linear and non-linear filters have been applied traditionally. Recently no...

Images are rich information carriers and (such as medical images) are normally contaminated by additive and substitutive noise which makes the extraction of features (and clinical data analysis) difficult. Hence to enhance the image quality prior to post processing, image pre-processing operations such as de-noising with linear and non-linear filters have been applied traditionally. Recently no...

Images are rich information carriers and (such as medical images) are normally contaminated by additive and substitutive noise which makes the extraction of features (and clinical data analysis) difficult. Hence to enhance the image quality prior to post processing, image pre-processing operations such as de-noising with linear and non-linear filters have been applied traditionally. Recently no...

Images are rich information carriers and (such as medical images) are normally contaminated by additive and substitutive noise which makes the extraction of features (and clinical data analysis) difficult. Hence to enhance the image quality prior to post processing, image pre-processing operations such as de-noising with linear and non-linear filters have been applied traditionally. Recently no...

Images are rich information carriers and (such as medical images) are normally contaminated by additive and substitutive noise which makes the extraction of features (and clinical data analysis) difficult. Hence to enhance the image quality prior to post processing, image pre-processing operations such as de-noising with linear and non-linear filters have been applied traditionally. Recently no...

Speech de-noising algorithms often suffer from introduction of artifacts, either by removal of parts of the speech signal, or imperfect noise reduction causing the remaining noise to sound unnatural and disturbing. This contribution proposes to spatially distribute monaural noisy speech signals based on single-channel source separation, in order to improve the perceived speech quality. Stereo u...

Images are rich information carriers and (such as medical images) are normally contaminated by additive and substitutive noise which makes the extraction of features (and clinical data analysis) difficult. Hence to enhance the image quality prior to post processing, image pre-processing operations such as de-noising with linear and non-linear filters have been applied traditionally. Recently no...