Video Link: https://www.youtube.com/watch?v=Jq5s_zUORY8&t=1s

1. 15EE55C – DIGITAL SIGNAL PROCESSING AND
ITS APPLICATIONS
INTRODUCTION TO
DIGITAL SIGNAL PROCESSING
Mr. K. Karthik Kumar
AP/EEE
DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING
NATIONAL ENGINEERING COLLEGE, K.R. NAGAR, KOVILPATTI – 628 503
(An Autonomous Institution, Affiliated to Anna University – Chennai)

2. CONTENTS
 Signal Processing
 Classifications of Signal Processing
 Considerations in DSP
 Importance of DSP
 Advantages of DSP Over ASP
 Disadvantages of DSP Over ASP

3. SIGNAL PROCESSING
 Signal processing is an electrical engineering subfield that focuses
on analyzing, modifying, and synthesizing signals such
as sound, images, and scientific measurements.
 Signal processing techniques can be used to improve transmission,
storage efficiency and subjective quality and to also emphasize or
detect components of interest in a measured signal.

4. CLASSIFICATIONS OF SIGNAL PROCESSING
 ASP (Analog signal Processing): If the input signal given
to the system is analog then system does analog signal
processing. Ex Resistor, capacitor or Inductor, OP-AMP
etc.

5. CLASSIFICATIONS OF SIGNAL PROCESSING
 DSP (Digital signal Processing) : If the input signal given
to the system is digital then system does digital signal
processing. Ex Digital Computer, Digital Logic Circuits
etc. The devices called as ADC (analog to digital
Converter) converts Analog signal into digital and DAC
(Digital to Analog Converter) does vice-versa.

6. CONSIDERATIONS IN DSP
 Most of the signals generated are analog in nature. Hence these signals
are converted to digital form by the analog to digital converter.
 Thus AD Converter generates an array of samples and gives it to the
digital signal processor.
 This array of samples or sequence of samples is the digital equivalent of
input analog signal.
 The DSP performs signal processing operations like filtering,
multiplication, transformation or amplification etc operations over these
digital signals.
 The digital output signal from the DSP is given to the DAC.

7. IMPORTANCE OF DSP
 When a signal varies with time, we are usually concerned not
only with its magnitude but also with how it changes.
 Oscilloscopes, strip chart recorders and other analog recording
devices enable us to make observations of the signal by
continuously recording and displaying the measurement data in
the time domain.
 When digital computers are utilized for this purpose, however,
the magnitude of the signal is sampled only at fixed intervals of
time with a complete loss of continuity between.

8. IMPORTANCE OF DSP (CONTD..,)
 For data acquired in this form, the mathematics of digital signal
processing can be used to analyze the signal in both the time and
frequency domains.
 That is, we can know not only how the magnitude of the signal
varied with time, but also what the amplitudes of any oscillations
were over a spectrum of frequencies.
 This Tech Note is intended as a guide to understanding the
necessary considerations for converting an analog signal into a
useful series of discrete digital data.

9. ADVANTAGES OF DSP OVER ASP
 Physical size of analog systems is quite large while digital
processors are more compact and light in weight.
 Analog systems are less accurate because of component tolerance
ex R, L, C and active components. Digital components are less
sensitive to the environmental changes, noise and disturbances.
 Digital system is most flexible as software programs & control
programs can be easily modified.
 Digital signal can be stores on digital hard disk, floppy disk or
magnetic tapes. Hence becomes transportable. Thus easy and
lasting storage capacity.

10. ADVANTAGES OF DSP OVER ASP (CONTD..,)
 Digital processing can be done offline.
 Mathematical signal processing algorithm can be routinely implemented on
digital signal processing systems. Digital controllers are capable of performing
complex computation with constant accuracy at high speed.
 Digital signal processing systems are upgradeable since that are software
controlled.
 Possibility of sharing DSP processor between several tasks.
 The cost of microprocessors, controllers and DSP processors are continuously
going down. For some complex control functions, it is not practically feasible
to construct analog controllers.
 Single chip microprocessors, controllers and DSP processors are more
versatile and powerful.

11. ADVANTAGES OF DSP OVER ASP (CONTD..,)
 The cost of microprocessors, controllers and DSP processors are
continuously going down. For some complex control functions, it
is not practically feasible to construct analog controllers.
 Single chip microprocessors, controllers and DSP processors are
more versatile and powerful.

12. DISADVANTAGES OF DSP OVER ASP
 Additional complexity (A/D & D/A Converters)
 Limit in frequency.
 High speed AD converters are difficult to achieve in practice. In
high frequency applications DSP are not preferred.