DIGITAL SIGNAL PROCESSING

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Introduction

• DIGITAL SIGNAL PROCESSING

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Course information
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Course information(C0ntd..)
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Discrete Time signal

• Sequence xn as opposed to continuous time
  signals x(t)

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Discrete in Nature

• Population statistics
• Stock market indices

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Sampled continuos time (analog) signals

• Example
• Speech

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Applications
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Speech Processing
Original speech
High pass
Down sample
Low pass
Up sample
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Image Processing
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Video Processing
General Concept
Object 1
Motion Analysis
Object 2
Video Synthesis
Applications
Analysis
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Discrete-Time System
y(n)Tx(n)
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Why DTSP?

• Discrete Time Signal Processing of Continuous
  Signals

x (n)
y (n)
y(t)
x (t)
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Why DTSP?
Digital Signal Processing (DSP) is derived from
DTSP
y(n)
y(n)
x(t)
x(n)
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(No Transcript)
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Discrete Time Signal
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Where Not?
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DSP COMPONENTS

• Converting analog signal into digital sequence.
• Performing all signal processing operations in
  digital in digital form.
• If necessary converting the digital information
  back to analog signal.
• A TYPICAL DSP SCHEME

DAC
DSP Processor
ADC
Analog Filter
Analog Filter
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WHY DSP?
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Frequency Selective Filtering
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Echo Cancellation
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DSP SOLUTION TO EC
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Equalization
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Speech Transmission
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Image Processing
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Image Processing
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DSP in real time embedded systems
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Comparison of Chips
POWE R CONSUMP T I ON
FLEXIBILITY
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Comparison of Chips
ASIC FPGA µP/µC DSP Processor
Flexibility None Limited High High
Design Time Long Medium Short Short
Power Consumption Low Low- Medium Medium- High Low- Medium
Performance High High Low Medium Medium-High
Development Cost High Medium Low Low
Production Cost Low Low- Medium Medium-High Low-Medium
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Course Outline
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Course Outline
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Course Outline

• DSP A/D,D/A
• System Design and Implementation
• Practical computation of F