ADAPTIVERATE FILTERINGFORA SIGNALDRIVENSAMPLINGSCHEME
Laurent Fesquet · 2007
Thisworkisacontribution toenhance thesignal processing chain required inmobile systems. Thesystem mustbelowpowerasitis powered byabattery. Thusasignal driven sampling scheme based onlevel crossing isemployed, adapting thesampling rate andsothe system activity byfollowing theinput signal variations. Inorder to filter thenon-uniformly sampled signal obtained attheoutput ofthis sampling scheme anewadaptive rate FIRfiltering approach isdevised. Theidea istocombine thefeatures ofbothuniform andnonuniform signal processing tools toachieve asmartonline filtering process. Thecomputational complexity oftheproposed approach is deduced andcompared tooneoftheclassical FIRfiltering approach. Itpromises asignificant gainofthecomputational efficiency andhence oftheprocessing power.