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Lecture-1: Signals, System and Signal Processing
 Signal: A signal is the variation of physical quantity with respect to one or more
independent variable.
 It varies with time, space, or any other independent variables.
 It is a function which carries some information.
Examples
 S (t) = 5t,
The function varies linearly with the independent variable, t (time)
 S (x, y) = 3x + 2xy + 10y2,
Two independent variables, x, y.
Characteristics of Signals
 A sign wave has three characteristics:
 Amplitude
 Frequency or period
 Phase
Where,
Ai (t)= Amplitude, Fi (t)=Frequency,𝜃i(t)=Phase
𝐴𝑖 𝑡 𝑆𝑖𝑛[2𝜋𝐹𝑖 𝑡 𝑡 + 𝜃𝑖(𝑡)]
𝑁
𝑖=1
System
 A physical device that performs an operation on signal.
 Example: Filters.
 A filter used to reduce the noise and interference corrupting a desired information-bearing
signal is called a system.
Signal Processing
 When we pass a signal through a system, as in filtering, we say that we have processed
the signal. In this case the processing of the signal involves filtering the noise and
interference from the desired signal.
 In general, the system is characterized by the type of operation that it performs on the
signal. Such operations are usually referred to as signal processing.
Block Diagram of a digital signal processing
A/D
Converter
Digital Signal
Processor
D/A Converter
Analog Input
signal
Analog output
signal
Digital Input
signal
Digital Output
signal
Fig: Block Diagram of a digital signal processing
Advantages of digital over analog signal processing
 Digital signal processing operations can be changed by changing the program in digital programmable
 Better control of accuracy in digital systems compared to analog systems.
 Digital signals are easily stored on magnetic media such as magnetic tape without loss of quality of reproduction of
signal.
 Digital signals can be processed off line, i.e., these are easily transported.
 Sophisticated signal processing algorithms can be implemented by DSP method.
 Digital circuits are less sensitive to tolerances of component values.
 Digital systems are independent of temperature, ageing and other external parameters.
 Digital circuits can be reproduced easily in large quantities at comparatively lower cost..
 Processor characteristics during processing, as in adaptive filters can be easily adjusted in digital implementation.

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digital signal processing lecture 1.pptx

  • 1. Lecture-1: Signals, System and Signal Processing  Signal: A signal is the variation of physical quantity with respect to one or more independent variable.  It varies with time, space, or any other independent variables.  It is a function which carries some information.
  • 2. Examples  S (t) = 5t, The function varies linearly with the independent variable, t (time)  S (x, y) = 3x + 2xy + 10y2, Two independent variables, x, y.
  • 3. Characteristics of Signals  A sign wave has three characteristics:  Amplitude  Frequency or period  Phase Where, Ai (t)= Amplitude, Fi (t)=Frequency,𝜃i(t)=Phase 𝐴𝑖 𝑡 𝑆𝑖𝑛[2𝜋𝐹𝑖 𝑡 𝑡 + 𝜃𝑖(𝑡)] 𝑁 𝑖=1
  • 4. System  A physical device that performs an operation on signal.  Example: Filters.  A filter used to reduce the noise and interference corrupting a desired information-bearing signal is called a system.
  • 5. Signal Processing  When we pass a signal through a system, as in filtering, we say that we have processed the signal. In this case the processing of the signal involves filtering the noise and interference from the desired signal.  In general, the system is characterized by the type of operation that it performs on the signal. Such operations are usually referred to as signal processing.
  • 6. Block Diagram of a digital signal processing A/D Converter Digital Signal Processor D/A Converter Analog Input signal Analog output signal Digital Input signal Digital Output signal Fig: Block Diagram of a digital signal processing
  • 7. Advantages of digital over analog signal processing  Digital signal processing operations can be changed by changing the program in digital programmable  Better control of accuracy in digital systems compared to analog systems.  Digital signals are easily stored on magnetic media such as magnetic tape without loss of quality of reproduction of signal.  Digital signals can be processed off line, i.e., these are easily transported.  Sophisticated signal processing algorithms can be implemented by DSP method.  Digital circuits are less sensitive to tolerances of component values.  Digital systems are independent of temperature, ageing and other external parameters.  Digital circuits can be reproduced easily in large quantities at comparatively lower cost..  Processor characteristics during processing, as in adaptive filters can be easily adjusted in digital implementation.