Gallery — University

Modelo para trabalho de conclusão do curso de Engenharia de Controle e Automação da Universidade Federal de Santa Catarina, Campus de Blumenau, Departamento de Engenharia de Controle Automação e Computação.

Plantilla para trabajos de grado según manual para tesis de la UNA, FCQ, IQ/IA Template for thesis according to the National University of Asunción, School of Chemical Sciences, Chemical Engineering/Food Engineering.

This is the thesis template for NCTU. The original source of this template is https://github.com/borting/nctu-thesis Thanks borting for his template

Template for written Assignments. * bib included with examples for Harvard-Style referencing (natbib) * Arial (?) fonts * 1.5 spacing

Modelo para Teses e Dissertações do Programa de Pós-Graduação em Sistemas e Computação do Departamento de Informática e Matemática Aplicada da Universidade Federal do Rio Grande do Norte

Krishna Kumar's template modified for DIT

Laboratory Report Template used in PUC Chile

There are several voice communication systems that are used nowadays which are capable of maintain voice calls between two users in real time. Telephones are widely used all around the world in an unlimited kind of situations. All of these situations expose the microphone (or microphones) of the phones to different and unpredictable noises, as street noise, sea noise, rain noise, wind noise, unwanted voices, car motors, etc. As microphones capture all the sounds around it, including the wanted voice and the unwanted noises, it is necessary to implement digital real time filters capable of attenuate as much as possible all the surrounding noises. It exists a large quantity of noise reduction methods that have been used in the calling algorithms of phones. Even if these methods have had, in general, a good performance, there is still a research being done in this area in order to improve the current results. Because of this, the multichannel methods were created (using multiple microphones) as well as new algorithms that pretend to have a better noise reduction than the single channel methods. Most of these methods require a speech presence probability (SPP) method to achieve the noise reduction. The following document presents a research about different SPP methods as well as a comparison between these. This includes an explanation on how theses algorithm work, a Matlab implementation using real voice and noise recordings and objective tests of the filter.

Este modelo é muito completo e deve ser usado como base para nossos trabalhos de TCC.