XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

A complexidade lógica e matemática requerida nas modelagens do eletromagnetismo computacional demandam o desenvolvimento de ferramentas que possibilitem o processamento numérico. Nesta área do conhecimento vem sendo estudada a Teoria Generalizada de Lorenz-Mie (GLMT – Generalized Lorenz-Mie Theory), a qual possibilita descrever o espalhamento...

This work addresses distributed processing methods to precoder selection in wireless systems. To explore the spatial correlation of the medium, an additional step of nonuniform power distribution over data streams is proposed. The min-sum algorithm in factor graphs is then applied to reach a near-optimal solution. The system capacity is optimized in...

This paper presents an approach for power control in OCDMA 2-D (Time/Wavelength) networks taking in account the adverse effects of environmental temperature variation in optical fibers. The proposed system uses a meta-heuristic based on behavior of firefly swarms to optimize the allocated power for each user in the network. The network...

This paper describes the design of a wideband horn antenna operating in quasi TEM mode. The antenna consists of a triangular conductive plate with an inclination angle above a ground plane and directly feed by a coaxial cable. Broadband characteristics, radiation pattern, high gain and small reflection coefficient were achieved. Its performance...

In a typical communication system most mechanisms of authentication exist above the physical layer, though some (e.g., spread-spectrum communication) exist at the physical layer often with an additional cost in bandwidth. Alternatively, authentication may be implemented in the physical layer without impact on the original system and still exhibiting...

O problema de separação cega de fontes no contexto de misturas subparametrizadas tem sido investigado por meio de abordagens que exploram diferentes características dos sinais de interesse, dentre as quais se destaca a esparsidade. No presente trabalho, comparamos o desempenho de diferentes técnicas de estimação dos sinais de áudio, no contexto de...

This paper describes the development of an indus- trial safety system that requires automatic human detection. Two solutions based on top-view depth images are presented. The first one is based on traditional learning techniques using feature extraction and a Support Vector Machine classifier. The second solution uses deep learning methods for...

This article presents a study of the effect of acoustic reverberation on speech intelligibility. This evaluation includes the use of the classics ideal binary masks IdBM and IRM and the blind non-ideal mask BRM. Three objective measures fwSegSNR, CSII, and STOI in addition to the quality measure SegSNR are considered in the experiments. The results...

In this paper, we propose a scheme for blind image restoration based on the convex combination of a blind equalizer with a decision-directed equalizer. The combination is also adapted in a blind manner, which allows the automatic switching between the component filters. Thus, the proposed scheme is able to achieve the performance of a technique...

This paper presents results of an experimental work designed to investigate current consumption in radio modules commonly used in Wireless Sensor Networks (WSNs). Using high speed measurement setup, we collected current consumption profiles (waveforms) of several radio modules in different states, including transmitting, receiving and idle...