Quantized high resolution pursuit

Because of their properties, adaptive decomposition techniques have been hardly studied in order to apply them to different works, such as signal characterization, compact representation, feature extraction, noise subtraction, etc. High resolution pursuit is one of the techniques developed which principally provides a very good super-resolution without requiring expensive computation, compared with other super-resolution techniques such as basis pursuit. When an adaptive decomposition technique is employed for compact representation, it is necessary to consider the introduction of a quantization stage for better results. V. Goyal (see SPIE vol.3024, p.2-12) presented good result and has also studied quantization in adaptive decomposition techniques, specifically with the matching pursuit. We test quantization with the high resolution pursuit technique in order to analyze some of the results obtained.