课件:信号与系统Chapter-2.ppt
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1、 2 Linear Time-Invariant Systems2.1 Discrete-time LTI system:The convolution sum2.1.1 The Representation of Discrete-time Signals in Terms of Impulses2.Linear Time-Invariant Systemskknkxnxnxnxnxnxnx 2 2 1 1 0 1 1 2 2If xn=un,then 0kknnuLinear combinations of delayed impulse(Sifting property)2 Linear
2、 Time-Invariant Systems2.1.2 The Discrete-time Unit Impulse Response and the Convolution Sum Representation of LTI Systems(1)Unit Impulse(Sample)Response LTIxn=nyn=hn Unit Impulse Response:hn 2 Linear Time-Invariant SystemsmknkxnxSifting property represents xn as a superposition of scaled versions o
3、f shifted unit impulse n-k(2)Convolution Sum of LTI System LTIxnyn=?Solution:Question:n hnn-k hn-kxkn-k xkhn-kkkknhkxnyknkxnx 2 Linear Time-Invariant SystemsTime-invariantAdditivityScalingmknkxnx 2 Linear Time-Invariant SystemsHere,hkn denotes the response of the linear system to the shifted unit im
4、pulse n-k.LTIhkn=hn-k 2 Linear Time-Invariant Systems(Convolution Sum)Sokknhkxnyor yn=xn*hn(3)Calculation of Convolution SumTime Reversal:hk h-kTime Shift:h-k hn-kMultiplication:xkhn-kSumming:kknhkxnyExample 2.1 2.2 2.3 2.4 2.5 2 Linear Time-Invariant SystemsNote:A discrete-time LTI system is comple
5、tely characterized by its unit impulse response hnTo visualize the calculationConsider the two sequences xn=un,hn=anun,0a1,please calculate the convolution of the two signals yn=xn*hn10kh k n或 h n 0n1h -n h -k k1.Viewed as functions of k2.Time reversaln 0,No overlap between xk and hnkyn=00n1h -n 0n1
6、h -n x khk,0h nkn x knkConsider the two sequences xn=un,hn=anun,0a1,please calculate the convolution of the two signals yn=xn*hn3.Time shift4.Multiplication&SummingConsider the two sequences xn=un,hn=anun,0a1,please calculate the convolution of the two signals yn=xn*hnn 0,xk overlaps hnk0 nnkky na0n
7、1h -n 0n1h -n x khkkn,0h nknkOver all values of kn 0,xk overlaps hnk0 nnkky nan 0,No overlap between xk and hnkyn=00k1y k y nnConsider the two sequences xn=un,hn=anun,0a1,please calculate the convolution of the two signals yn=xn*hnalculate the convolution yn=RNn*RNn where1 01 0otherwiseNnNRnknN-101R
8、Nk 或 RNkn-(N-1)01RN-nkNRkyn=0nN-101RNnk-(N-1)RNk-n,k k 0 n 0,No overlap between RN k and RN nknN-101RNnk-(N-1)RNk-n,k10Nk 0 n N 1,RN k overlaps RN nk in 0,n 0 11nky nn NRk NRk,0NRnkn(1)nNnk,01NRnknNkn(1)nNalculate the convolution yn=RNn*RNn where1 01 0otherwiseNnNRn N1 2N2,No overlap again yn =0nN-1
9、01RNnk-(N-1)RNk-n,k221NkN NRk,122NRnkNnN kn(1)nNalculate the convolution yn=RNn*RNn where1 01 0otherwiseNnNRn n 0,No overlap between RN k and RN nkyn=0 0 n N 1,Overlaps in 0,n 0 11nky nn N1 2N2,No overlap againyn =01 01 0otherwiseNnNRnN-101kRNk*RNk2N-2N234123*NNRnRnnalculate the convolution yn=RNn*R
10、Nn where alculate the convolution yn=xn*hn where nx nu n nh nu n*nnu nu n kn kku ku nk0000nkn kknn11(1)nnnu nna u n)(e)(etututt)(e)()ee(1tuttuattt2.2 Continuous-time LTI system:The convolution integral2.2.1 The Representation of Continuous-time Signals in Terms of Impulsesotherwisett,00,1)(Define We
11、 have the expression:kktkxtx)()()(Therefore:kktkxtx)()(lim)(0 2 Linear Time-Invariant Systemsmknkxnxdtxtx)()()(Sifting property)Pulse approximation(Sifting property)2 Linear Time-Invariant Systemskktkxtx)()(lim)(0Pulse approximation2.2.2 The Continuous-time Unit impulse Response and the convolution
12、Integral Representation of LTI Systems(1)Unit Impulse Response LTIx(t)=(t)y(t)=h(t)(2)The Convolution of LTI System LTIx(t)y(t)=?2 Linear Time-Invariant Systemsdtxtx)()()(Unit Impulse Response)A.LTI(t)h(t)x(t)y(t)=?dtxtx)()()(Because of dthxty)()()(So,we can get(Convolution Integral)or y(t)=x(t)*h(t
13、)2 Linear Time-Invariant SystemsTime-invariantAdditivityScalingmknhkxnyNote:A continuous-time LTI system is completely characterized by its unit impulse response h(t).(3)Computation of Convolution Integral Time Reversal:h()h(-)Time Shift:h(-)h(t-)Multiplication:x()h(t-)Integrating:dthxty)()()(Exampl
14、e 2.6 2.8 2 Linear Time-Invariant SystemsTo visualize the calculation)()(),(e)(),(*)(tuthtutxthtxt)(x)(hRegarded as a function of :x(t)x(),h(t)h()Reflection h()h()For t 0,)()(e)()(tuuthxttthtxe1de)(*)(0)()e1()(*)(tuthtxt)()(),(e)(),(*)(tuthtutxthtxtCalculate y(t)=p1(t)*p1(t)。)()(11tpp0.5t5.0t 5.01t1
15、t5.0t 5.0)()(11tpp01t1a)t 1b)1 t 0tttyt1d)(5.05.0)(1tp0.5-0.51t)(1py(t)=0)(1tp0.5-0.51t)(1pt 5.0t5.0)()(11tpp10t1c)0 1tttyt1d)(5.05.0y(t)=0 y(t)=p1(t)*p1(t)。)(1tp0.5-0.51t)(1pc)0 1tttyt1d)(5.05.0y(t)=0a)t 1b)1 t 0tttyt1d)(5.05.0y(t)=011-1)()(11tptpt y(t)=p1(t)*p1(t)。Exercise 1:u(t)u(t)Exercise 2:y(t
16、)=x(t)h(t)(tht201)(tyt20113tt3=r(t)trapezoid2.3 Properties of Linear Time Invariant SystemConvolution formula:dthxthtxty)()()(*)()(kknhkxnhnxny*h(t)x(t)y(t)=x(t)*h(t)hnxnyn=xn*hn 2 Linear Time-Invariant SystemsNote:The characteristics of an LTI system are completely determined by its impulse respons
17、e.(Holds only for LTI system)2.3.1 The Commutative PropertyDiscrete time:xn*hn=hn*xnh(t)x(t)y(t)=x(t)*h(t)x(t)h(t)y(t)=h(t)*x(t)2 Linear Time-Invariant Systems kky nx nh nx k h nkx nk h kh nx nContinuous time:x(t)*h(t)=h(t)*x(t)Proof:()()()()()()()()()y tx th txh tdx thdh tx tProof:Note:The output o
18、f an LTI system with input x(t)and unit impulse response h(t)is identical to the output of an LTI system with input h(t)and unit impulse response x(t).2.3.2 The Distributive PropertyDiscrete time:xn*h1n+h2n=xn*h1n+xn*h2nContinuous time:x(t)*h1(t)+h2(t)=x(t)*h1(t)+x(t)*h2(t)h1(t)+h2(t)x(t)y(t)=x(t)*h
19、1(t)+h2(t)h1(t)x(t)y(t)=x(t)*h1(t)+x(t)*h2(t)h2(t)Example 2.10 2 Linear Time-Invariant SystemsNote:A parallel combination of LTI systems can be replaced by a single LTI system whose unit impulse response is the sum of the individual unit impulse responses in the parallel combination.2.3.3 The Associ
20、ative PropertyDiscrete time:xn*h1n*h2n=xn*h1n*h2nContinuous time:x(t)*h1(t)*h2(t)=x(t)*h1(t)*h2(t)h1(t)*h2(t)x(t)y(t)=x(t)*h1(t)*h2(t)h1(t)x(t)y(t)=x(t)*h1(t)*h2(t)h2(t)2 Linear Time-Invariant SystemsNote:The unit impulse response of a cascade of two LTI systems does not depend on the order in which
21、 they are cascaded.However,the order in which nonlinear systems are cascaded can not be changed.If ,then 2 Linear Time-Invariant SystemsThe Time Shift PropertyThe Derivation PropertyIf ,then)()(*)(tythtx)()(*)()(*)(tythtxthtx)()(*)(tythtx)()(*)()(*)(000ttytthtxthttxNote:These properties can be use t
22、o simplify the calculation.()()()x tttT()x ttT0(1)(1)()()()()()()()()y tx th th tttTh th tTFrom the derivation property we know02T2Tt()h t 2 Linear Time-Invariant Systems0tTx(t)102T2Tt()h t=T2TT2T()y t3T2TT0t212T232TT3T2T0t()y t()()ty tyd 2 Linear Time-Invariant SystemsFrom the properties of linear
23、and time-invariant,we know 1)Differential or Difference property:If T x(t)=y(t)thenttyttxTd)(dd)(dIf Txk=yk then T xk-xk-1=yk-yk-1 2)Integral or Sum property:If Tx(t)=y(t)thend)(d)(yxTttIf Txk=ykthennynxTknkn 2 Linear Time-Invariant SystemsExample Consider an LTI system,we know that the input x1(t)l
24、eads to the output y1(t),please determine the response of this system to the input x2(t)。The relation between x1(t)and x2(t)is as follows:d)()1()(11)1(12xtxtxtFrom the properties of linearity and time-invariance,we get the same relation between y2(t)and y1(t)d)()(11 2ytyt)1()e1(5.0)1(2tut2.3.4 LTI s
25、ystem with and without MemoryMemoryless system:Discrete time:yn=kxn,hn=kn Continuous time:y(t)=kx(t),h(t)=k(t)k(t)x(t)y(t)=kx(t)=x(t)*k(t)k n xnyn=kxn=xn*knImply that:x(t)*(t)=x(t)and xn*n=xn 2 Linear Time-Invariant Systemskknkxnxdtxtx)()()(2.3.5 Invertibility of LTI systemOriginal system:h(t)invers
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