Background#R##N#Currently, digital filters are employed in a wide range of signal processing applications, using fixed- and floating-point processors. Regarding the former, some filter implementations may be highly prone to errors, due to problems related to finite word-length. In particular, signal processing modules may produce overflows and unwanted noise, which are caused by quantization and round-off effects, during accumulative-addition and multiplication operations. As a consequence, the system output may overflow or even keep oscillating, which compromises the expected system performance.
['Renato Abreu', 'Mikhail Y. R. Gadelha', 'Lucas C. Cordeiro', 'Eddie Batista de Lima Filho', 'Waldir Sabino da Silva']
Bounded model checking for fixed-point digital filters