Signal Processing hOof+ y() G{() hEB( Input Output signal signal Recursive system hEr() Feed backward response Igure 4
x(t) Input signal Recursive system Output signal hFF(t) hFB(t) + hFB(t) Feed backward response y(t) = G{x(t)} Figure 4 Signal Processing
Signal Processing hOof+ y() G{() hEB( Input Output signal signal Recursive system y()=x(0)*hF()+y(0)hpB()(2) Igure
y(t) = x(t) * hFF(t) + x(t) Input signal Recursive system Output signal hFF(t) hFB(t) + y(t) * hFB(t) (2) Figure 5 y(t) = G{x(t)} Signal Processing
Signal Processing Analog systems are implemented with analog circuits built up with resistors, capacitors, inductors and transistors Both input and output signals are continuous waveforms
Analog systems are implemented with analog circuits built up with resistors, capacitors, inductors and transistors. Both input and output signals are continuous waveforms. Signal Processing
Digital Signal Processing a five steps process Step 1- sampling x() x(nTs) Igure 6
Digital Signal Processing - a five steps process Step 1 - Sampling x(t) x(nTS ) TS Figure 6
Digital Signal Processing a five steps process Step 2- analog to Digital Conversion (ADC x(nTs) x(n)=[x(0),x(1),x(2),……,x(N-2),x(N-) Figure 7
Step 2 - Analog to Digital Conversion (ADC) x(nTS ) x(n) = [x(0) , x(1) , x(2) , ............ , x(N-2) , x(N-1)] Figure 7 Digital Signal Processing - a five steps process