TRATAMENTO E COMPRESSÃO BASEADA EM WAVELETS PARA DADOS ADQUIRIDOS POR SENSORES / TREATMENT AND WAVELET-BASED COMPRESSION OF SENSOR DATA

AUTOR(ES)

MARCELO GONELLA FERNANDEZ

DATA DE PUBLICAÇÃO

2007

RESUMO

This dissertation introduces a strategy to develop a compression method for sensor data inspired on the JPG2000 techniques. The strategy adopted processes data streams much in the same way as signal processing. Due to the unstable nature of sensor data, noise is added to the original signal. This noise is detected and treated while the signal is cleaned and smoothed, making it easier to analyze the data stream. Less relevant signal components are removed or approximated allowing the signal to be compressed with few information loss.

ASSUNTO(S)

processamento de sinais wavelet transform redes de sensores data compression remocao de ruidos tecnicas de quantizacao teoria da informacao denoising sensor network signal processing information theory quantization techniques compressao de dados transformada wavelet

Documentos Relacionados

• WAVELET-BASED ANOMALY DETECTION IN NETWORK TRAFFIC
• Wavelet-based techniques for adaptive feature extraction and pattern recognition.
• On the synchronization of banking financial indexes: a wavelet-based approach
• A wavelet-based approach for analyzing industrial stochastic textures with applications
• A wavelet-based method for power-line interference removal in ECG signals