02590nam 2200553Ia 450 991073944040332120200520144314.01-299-33715-51-4614-6292-410.1007/978-1-4614-6292-7(OCoLC)844056224(MiFhGG)GVRL6YAI(CKB)2670000000336419(MiAaPQ)EBC1106350(EXLCZ)99267000000033641920130219d2013 uy 0engurun|---uuuuatxtccrSystem identification using regular and quantized observations applications of large deviations principles /Qi He, Le Yi Wang, G. George Yin1st ed. 2013.Dordrecht Springer20131 online resource (xii, 95 pages) illustrations (some color)SpringerBriefs in mathematicsDescription based upon print version of record.1-4614-6291-6 Includes bibliographical references and index.Introduction and Overview.- System Identification: Formulation.- Large Deviations: An Introduction.- LDP under I.I.D. Noises.- LDP under Mixing Noises.- Applications to Battery Diagnosis.- Applications to Medical Signal Processing.-Applications to Electric Machines -- Remarks and Conclusion -- References -- Index.This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular.  By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications.SpringerBriefs in mathematics.Piezoelectric materialsPiezoelectricityPyroelectricityPiezoelectric materials.Piezoelectricity.Pyroelectricity.537.2446He Qi885026Wang Le Yi1755450Yin G. George61947MiAaPQMiAaPQMiAaPQBOOK9910739440403321System identification using regular and quantized observations4192230UNINA