Digital Noise Reduction

RESUMEN
El arreglo experimental recaba la investigación de la manera en que una imagen es tratada aplicando el filtro de ruido en la imagen Las técnicas de supresión del ruido están estrechamente relacionadas con los algoritmos de suavizado y mejora de la imagen Existen técnicas globales que operan sobre toda la imagen en conjunto, promediado en la adquisición de la imagen, procesamiento en el dominio de la frecuencia. Técnicas locales o espaciales que analizan de forma individualizada el comportamiento de cada punto de la imagen. Contando con filtros lineales y filtros no lineales.
Para ello se requirió programar los métodos en Mathcad 15.0

Palabras clave: visión por computador, inteligencia artificial, ruido digital.

ABSTRACT
The experimental setup collects investigating how an image is treated by applying the noise filter on image The noise suppression techniques are closely related to smoothing algorithms and image enhancement There are global techniques that operate on the entire image as a whole, averaged over the acquisition of the image processing in the frequency domain. Local or spatial techniques that analyze the behavior of each individual point of the image. Counting linear filters and nonlinear filters.

OBJECTIVES:
Two main digital signal processing technologies inside the modern hearing aid to provide the best conditions for hearing aid users are directionality (DIR) and digital noise reduction (DNR) algorithms. There are various possible settings for these algorithms. The present study evaluates the effects of various DIR and DNR conditions (both separately and in combination) on listening comfort among hearing aid users.

METHODS:
In 18 participants who received hearing aid fitting services from the Rehabilitation School of Shahid Beheshti University of Medical Sciences regularly, we applied acceptable noise level (ANL) as our subjective measure of listening comfort. We evaluated both of these under six different hearing aid conditions: omnidirectional-baseline, omnidirectional-broadband DNR, omnidirectional-multichannel DNR, directional, directional-broadband DNR, and directional-multichannel DNR.

RESULTS:
The ANL results ranged from -3 dB to 14 dB in all conditions. The results show, among all conditions, both the omnidirectional-baseline condition and the omnidirectional-broadband DNR condition are the worst conditions for listening in noise. The DIR always reduces the amount of noise that patients received during testing. The DNR algorithm does not improve listening in noise significantly when compared with the DIR algorithms. Although both DNR and DIR algorithms yielded a lower ANL, the DIR algorithm was more effective than the DNR.

CONCLUSION:
The DIR and DNR technologies provide listening comfort in the presence of noise. Thus, user benefit depends on how the digital signal processing settings inside the hearing aid are adjusted.

Coherent optical links enable high-density constellations and, consequently, a higher throughput. However, the phase noise associated with the transmitter and the receiver lasers is a challenging issue in coherent lightwave systems. The authors present an approach that relies on using digital signal processing techniques to compensate for the laser phase-noise effects. The proposed approach exploits the digital processing power to address the problems arising from optical imperfections. The authors present an adaptive filtering scheme that reduces the effect of the laser phase noise and, consequently, relaxes the laser linewidth requirement. The proposed approach shows how the signal processing techniques can be exploited to compensate for the optical impairments by utilizing the continuing scale down in size and power in very large scale integration (VLSI) technology.