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DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals

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Page 1: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals
Page 2: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals
Page 3: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals
Page 4: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals
Page 5: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals
Page 6: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals

max2sf f

Page 7: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals

1 2( ) ,sjn t

s sn ns s

t nT eT T

nss

nss nTtnTxnTttxtx

Page 8: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals

2s m m s mf f f f f

Page 9: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals

Ts is called the Nyquist interval: It is the longest time interval that can be used for sampling abandlimited signal and still allow reconstruction of the signal at the receiver without distortion

Page 10: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals

Sampling Theorem: A finite energy function x(t) can be completely

reconstructed from its sampled value x(nTs) with

provided that =>

2 ( )sin

2( ) ( )

( )

s

ss s

n s

f t nT

Tx t T x nT

t nT( ) sin (2 ( ))s s s s

n

T x nT c f t nT

1 1

2s

s m

Tf f

( ) sp

n

t nTx t

Page 11: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals

( ) ( ) ( )s px t x t x t

2( ) sj nf tn

n

x t c e

( ) [ ( ) ( )]s pX f x t x t

2[ ( ) ]sj nf tn

n

c x t e

[ ]n sn

c X f nf

Page 12: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals

'( ) ( ) ( )x t x t t

( ) '( )* ( )sx t x t p t

( )* ( ) ( ) ( )* ( ) ( )sn

p t x t t p t x t t nT

Page 13: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals

( ) [ ( )]s sX f x t

( ) ( ) ( )sn

P f x t t nT

1( ) ( )* ( )s

ns

P f X f f nfT

1( ) ( )s

ns

P f X f nfT

Page 14: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals

( ) 3cos(50 ) 100sin(300 ) cos(100 )x t t t t

( ) 3cos2000 5sin6000 cos12000ax t t t t

Page 15: DSP_FOEHU - Lec 03 - Sampling of Continuous Time Signals