Introduction to digital signal processing

1. Discrete Time Signal
Processing
Dr.S.Periyanayagi
Professor and Head/ECE
Ramco Institute of Technology

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3. • Ever listened to music that was encoded using MP3
format?
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4. • Enjoyed music through noise-cancelling
headphones? DSP again
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5. • Ever clicked a picture and stored it as a JPEG file to
save space in your hard drive to store your movie
collection?
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6. Well, both your picture as well as the
movie is compressed by image/video
compression techniques, that applies
principles of DSP
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9. • UsedAdobe Photoshop to make sure you look good
in your profile pic? Shake hands with Digital Image
Processing, a brother of DSP
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10. • Wonder how Facebook asks you to tag faces in that
photo in which you were partying with your
friends? Face recognition is a part of image
processing
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11. Basically, anything that makes use of the
0-1 pulse of signals to accomplish
something is an application of DSP. DSP
is the fundamental building block of a
large number of systems used across a
variety of domains.
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12. Applications of DSP
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14. Block Diagram of Digital
Signal Processing
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16. Which of the following should be done in order to
convert a continuous-time signal to a discrete-time
signal?
a) Sampling
b) Differentiating
c) Integrating
d) None of the mentioned
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17. If ‘F’ is the frequency of the analog signal, then what
is the minimum sampling rate required to avoid
aliasing?
a) F
b) 2F
c) 3F
d) 4F
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18. Operations in DSP
Processor
Convolution – DFT, FFT
Filtering – IIR and FIR Filter Design
 Filter is Considered as a System
Transformation - Finding theTransfer function H(Z) of
the filter – Z-transforms are used
 In FIR design, for finding desired impulse response
from desired frequency response – Inverse Fourier
Transform.
)(][ ZHnh ↔
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19. Correlation – Finding the similarities of the signals
(Auto correlation and cross Correlation)
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