We present the experimental application and comparison of two methods for the synthesis of digital filters, which represent the state-of-the-art of optimum digital processing of shaped signals with arbitrary constraints in time and frequency domain, and any kind of stationary noise power spectral density. The methods are implemented in experimental measurement setups, and optimum filters are synthesized with regard to assigned constraints (e.g., finite duration, flat top, peaking time, zero area, etc.) and by taking into account the real environmental noise or disturbance present in the system, identified from datasets of simple signal experimental acquisitions. Implementation issues are detailed and basic design rules for digital signal processors based on these techniques are derived.
|Titolo:||Experimental comparison of state-of-the-art methods for digital optimum filter synthesis with arbitrary constraints and noise|
|Autori interni:||RIBOLDI, STEFANO (Primo)|
|Parole Chiave:||digital signal processing ; optimum filters ; nuclear spectroscopy|
|Settore Scientifico Disciplinare:||Settore ING-INF/01 - Elettronica|
|Data di pubblicazione:||ago-2005|
|Digital Object Identifier (DOI):||10.1109/TNS.2005.852649|
|Appare nelle tipologie:||01 - Articolo su periodico|