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Dsp Lab Sample Viva Questions

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LAB VIVA QUESTIONS
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  DSP Lab - SAMPLE viva questions 1.What is MATLAB?2.What are the applications of MATLAB?3.State sampling theorem.4.What is meant by y! ist rate an# y! ist criteria?$.%&plain scaling an# s perposition properties of a system.'.What is meant by linearity of a system an# ho( it is relate# to scaling an# s perposition?).What is imp lse f nction?*.What is meant by imp lse response?+.What is energy signal? ,o( to calc late energy of a signal?1-.What is po(er signal? ,o( to calc late po(er of a signal?11.ifferentiate bet(een e/en an# o## signals.12.%&plain time in/ariance property of a system (ith an e&ample.13.What is memory less system?14.When a system is sai# to ha/e memory?1$.What is meant by ca sality?1'.%&plain linear con/ol tion an# circ lar con/ol tion.1).What is the length of linear an# circ lar con/ol tions if the t(o se! ences are ha/ing the length n1 an# n2?1*.What are 0o rier series an# 0o rier transform?1+.What are the a#/antages an# special applications of 0o rier transform 0o rier series  transform an# Laplace transform?2-.ifferentiate bet(een T0T an# 0T. Why it is a#/antageo s to se 0T in comp ters rather than T0T?n T0T fre! ency appears to be contin o s. B t in 0T fre! ency is #iscrete. This property is sef l for comp tation in comp ters. 21.,o( to perform linear con/ol tion sing circ lar con/ol tion?f t(o signals & n5 an# y n5 are of length n1 an# n2 then the linear con/ol te# o tp t 6 n5 is of length n17n281. %ach of the inp t signals is pa##e# (ith 6eros toma9e it of length n17n281. Then circ lar con/ol tion is #one on 6ero pa##e# se! ences to get the linear con/ol tion of srcinal inp t se! ences & n5 an# y n5.22.What is meant by correlation?:orrelation is the meas re of similarity bet(een t(o signal;(a/eforms. t compares the (a/eforms at #ifferent time instants. 23.What is a to8correlation?t is a meas re of similarity of similarity of a signal;(a/eform (ith itself.24. What is cross8correlation? 2$.What are the a#/antages of sing a tocorrelation an# cross correlation properties in signal processing fiel#s?2'.,o( a to8correlation can be se# to #etect the presence of noise?2).ifferentiate bet(een < filters an# 0< filters.  2*.What is the proce# re to #esign a #igital B tter(orth filter? 2+.What is the #ifference bet(een B tter(orth :hebyshe/  an# :hebyshe/  filters?3-.What are #ifference e! ations an# #ifferential e! ations?31.What is non real time processing?32.What is meant by real time processing? ã Ability to collect analy6e an# mo#ify signals in real8time ã <eal8Time= As these signals are occ rring ã We can analy6e an# process signals (hile collecting them not at a later time. A#/antages cost lesser 0aster comp tationsLess har#(are comp tations%asier to #esignLo(er or#er re! ire#   0< < Stable,ighly precise0inite # ration imp lse response%&cellent phase responseThe (or#8si6e effect s ch as ro n#8off noise an# coefficient ! anti6ation errors are m ch less se/ere in 0<. isa#/antages<e! ire higher or#er ncrease# har#(areMore comp tationsLarger inp t an# o tp t #elays:ost moreSensiti/e to #ata ro n# off an# c toff Ma9e become nstable >oor phase response   0<<  SignalCollector  Raw Data Processor  Refined Data Signal Real-TimeSignalProcessor Refined Data  33.What is a igital Signal >rocessor S>5?Microprocessor specifically #esigne# to perform fast S> operations e.g. 0ast 0o rier Transforms inner pro# cts M ltiply  Acc m late5 ã @oo# at arithmetic operations m ltiplication;#i/ision5 ã Mostly programme# (ith Assembly an# : thro gh ntegrate# e/elopment %n/ironment %534.ifferentiate bet(een <S: an# :S: architect res. RISC %mphasis on soft(areSingle8cloc9re# ce# instr ction onlylarge co#e si6eBetter : compilers CISC %mphasis on har#(arencl #es m lti8cloc9 comple& instr ctions Smallco#e si6es>oor : compilers 3$.ifferentiate bet(een @eneral p rpose M>Micro >rocessor nit5 an# S> >rocessor  MPU are built for a range of general-purpose functions such as = ata manip lation Math calc lations :ontrol systems They r n large bloc9s of soft(are They are se# in real8time an# in nreal8time systems DSPs are single-in!e! !e!icate! to#  >erform mathematical calc lations Small bloc9s of soft(are ,a/e a pre#ictable e&ec tion time <eal8time only :o l# assist a general8p rpose host M> 3'.What is pipelining? DSP  Arithmeticarying internal formatM ltiple memory accessSpecial a##ressing mo#eery large internal memory Microprocessor @eneral p rpose0i&e# internal formatSingle memory access@eneral a##ressing mo#eery large e&ternal memory  3).What is parallel processing?3*.What is MA:?3+.What is barrel shifter? Why it is a#/antageo s to se it in S> processor?4-.ifferentiate bet(een floating point S> an# fi&e# point S>.41.0i&e# >oint;0loating >oint ã fi&e# point processor are =i.cheaper ii.smaller iii.less po(er cons mingi/.,ar#er to program1.Watch for errors= tr ncation o/erflo( ro n#ing/.Limite# #ynamic range/i.se# in +$C of cons mer pro# cts ã floating point processorsi.ha/e larger acc racyii.are m ch easier to programiii.can access larger memoryi/.t is har#er to create an efficient program in : on a fi&e# point  processors than on floating point processors42.What is co#e composer st #io?   PipelinePipelineStageStage >0>0  %%   %&ec te instr ction%&ec te instr ction <o te opco#e to f nctional nit<o te opco#e to f nctional nit eco#e instr ctioneco#e instr ction@enerate program fetch a##ress@enerate program fetch a##ress<ea# opco#e<ea# opco#e DescriptionDescription Floating Point   Fixed Point A  pplicationsMo#emsigital S bscriber Line SL5Wireless Base stationsigital maging3 @raphicsSpeech <ecognitionoice o/er >Applications>ortable >ro# cts2@ 2.$@ an# 3@ :ell >honesigital A #io >layersigital Still :amerasoice <ecognition,ea#sets0ingerprint <ecognition

Karl Kraus

Jul 23, 2017
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