Introduction

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DIGITAL SIGNAL PROCESSING

description

DIGITAL SIGNAL PROCESSING. Introduction. Course information. Course information(C0ntd..). Discrete Time signal. Sequence x[n] as opposed to continuous time signals x(t). Discrete in Nature. Population statistics Stock market indices. Sampled continuos time (analog) signals. Example - PowerPoint PPT Presentation

Transcript of Introduction

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DIGITAL SIGNAL PROCESSING

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• Sequence x[n] as opposed to continuous time signals x(t)

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• Population statistics

• Stock market indices

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o Example• Speech

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Original speech

Down sample

High pass

Low pass

Up sample

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MotionAnalysis

VideoSynthesis

Object 1

Object 2

General Concept:

ApplicationsAnalysis

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y(n)=T{x(n)}

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Discrete Time Signal Processing of Continuous Signals

x (t)

y(t)x (n)

y (n)

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Digital Signal Processing (DSP) is derived from DTSP

x(t) x(n) y(n) y(n)

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• 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

DACDSP

Processor

ADCAnalog Filter

Analog Filter

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FLEXIBILITY

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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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• DSP: A/D,D/A• System Design and Implementation

• Practical computation of F