01122nam--2200361---450-99000048105020331620051104121242.00048105USA010048105(ALEPH)000048105USA01004810520010530d1965----km-y0itay0103----baitalatNL||||||||001yyCecaumeni Strategicoet incerti scriptorisde Officiis Regiis Libellusediderunt B. Wassiliewsky, V. JernstedtAmsterdamA.M. Hakker1965113 p.1 c. di tav., fasc.23 cmRipr. facs. dell'edizione: St. Petersbourg: s.n., 18962001880.9002CECAUMENUS500152ITsalbcISBD990000481050203316IX.2. 84(VIII C 1309)117555 LMVIII CBKUMAPATTY9020010530USA01105520020403USA011656PATRY9020040406USA011633COPAT39020051104USA011212Cecaumeni Strategico888474UNISA04301nam 22007095 450 991029991660332120200630015534.03-319-57430-210.1007/978-3-319-57430-1(CKB)3710000001630958(MiAaPQ)EBC4944139(DE-He213)978-3-319-57430-1(PPN)203853202(EXLCZ)99371000000163095820170810d2018 u| 0engurcnu||||||||rdacontentrdamediardacarrierMulti-Disciplinary Digital Signal Processing A Functional Approach Using Matlab /by E. S. Gopi1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (205 pages) illustrations, graphsIncludes index.3-319-57429-9 Sampling and Reconstruction of the Signals -- Infinite Impulse Response (IIR) Filter -- Finite Impulse Response Filter (FIR Filter) -- Multi-rate Digital Signal Processing -- Statistical Signal Processing -- Selected Applications in Multidisciplinary Domain.This book provides a comprehensive overview of digital signal processing for a multi-disciplinary audience. It posits that though the theory involved in digital signal processing stems from electrical, electronics, communication, and control engineering, the topic has use in other disciplinary areas like chemical, mechanical, civil, computer science, and management. This book is written about digital signal processing in such a way that it is suitable for a wide ranging audience. Readers should be able to get a grasp of the field, understand the concepts easily, and apply as needed in their own fields. It covers sampling and reconstruction of signals; infinite impulse response filter; finite impulse response filter; multi rate signal processing; statistical signal processing; and applications in multidisciplinary domains. The book takes a functional approach and all techniques are illustrated using Matlab. Presents a multi-disciplinary approach to digital signal processing; Written using a functional approach with all techniques illustrated using Matlab; Pertinent to research scholars, electrical, electronics, computer science, mechanical, civil, and chemical engineers. .Signal processingImage processingSpeech processing systemsElectrical engineeringSoftware engineeringCivil engineeringMechanical engineeringChemical engineeringSignal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Communications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Software Engineering/Programming and Operating Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I14002Civil Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T23004Mechanical Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T17004Industrial Chemistry/Chemical Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/C27000Signal processing.Image processing.Speech processing systems.Electrical engineering.Software engineering.Civil engineering.Mechanical engineering.Chemical engineering.Signal, Image and Speech Processing.Communications Engineering, Networks.Software Engineering/Programming and Operating Systems.Civil Engineering.Mechanical Engineering.Industrial Chemistry/Chemical Engineering.621.3822Gopi E. Sauthttp://id.loc.gov/vocabulary/relators/aut872839BOOK9910299916603321Multi-Disciplinary Digital Signal Processing2527405UNINA