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Introduction DIGITAL SIGNAL PROCESSING

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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

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Page 1: Introduction

Introduction

DIGITAL SIGNAL PROCESSING

Page 2: Introduction

Course information

INSTRUCTOR

• Khalida Noori• [email protected]

u.pk

CONSULTATION HOURS

• Wednesday 11:00-01:00 hrs

BOOKS• Discrete Time Signal

Processing byAlan V. Oppenheim, Ronald W. Schafer with John R. Buck, 2nd Edition, Prentice Hall

• Digital Sinal Processing-A computer based approach by S.K. Mitra, Mc Graw-Hill, 1998

• Digital Signal Processing – Principles, Algorithms and Applications – Third Edition by John G.Proakis and Dimitris G.Manolakis

MATERIAL RESOURCES

• http://www.seecs.edu.pk/~khalida.noori/courses

PRE_REQUISITS

•Basic concepts in signals & systems•Frequency response of linear systems

•Laplace, Z and Fourier Transforms

Page 3: Introduction

Course information(C0ntd..)

GRADING POLICES• One hour test

30%• Final 40%• Quizzes 10%• Assignments and Lab work

10%• Semester Project

10%

Page 4: Introduction

Discrete Time signal• Sequence x[n] as opposed to

continuous time signals x(t)

Page 5: Introduction

Discrete in Nature• Population statistics

• Stock market indices

Page 6: Introduction

Sampled continuos time (analog) signals

o Example• Speech

Page 7: Introduction

Applications

•Recognition, synthesis(e.g Automatic speakers) Speech

•Recording, playback, mixing, storage (e.g CD player)

Music

•2-D filtering, enhancement, compression, pattern recognition (e.g satellite images)

Image Processing

•Dagnosis, patient monitoring (e.g ECG analysis, X-Ray storage/enhancement)

Bio Medicine

•filtering, detection, feature extraction, localization, tracking, identification (e.g air traffic control, military)

Communication and Multimedia •signal generation, transmission, modulation and

compression, echo cancellation, data protection via error correcting signal coding (e.g digital modems, digital TV, mobile phones, video conferencing & internet, digital cameras)

Radar

Page 8: Introduction

Speech Processing

Original speech

Down sample

High pass

Low pass

Up sample

Page 9: Introduction

Image Processing

Page 10: Introduction

Video ProcessingMotionAnalysis

VideoSynthesis

Object 1

Object 2

General Concept:

ApplicationsAnalysis

Page 11: Introduction

Discrete-Time System

x (n) T y(n)

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

Page 12: Introduction

Why DTSP? Discrete Time Signal Processing of Continuous

SignalsC/D

• C/D

DTSP

• DTSP

D/C

x (t)

y(t)x (n)

y (n)

Page 13: Introduction

Why DTSP?Digital Signal Processing (DSP) is derived from DTSP

A/D

DSP

D/A

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

Page 14: Introduction
Page 15: Introduction

Discrete Time Signal

Page 16: Introduction

Where Not?

Page 17: Introduction

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

DACDSP

Processor

ADCAnalog Filter

Analog Filter

Page 18: Introduction

WHY DSP?

Flexibility Reproducibility

Reliability Complexity

Page 19: Introduction

Frequency Selective Filtering

Page 20: Introduction

Echo Cancellation

Page 21: Introduction

DSP SOLUTION TO EC

Page 22: Introduction

Equalization

Page 23: Introduction

Speech Transmission

Page 24: Introduction

Image Processing

Page 25: Introduction

Image Processing

Page 26: Introduction

DSP in real time embedded systems

Page 27: Introduction

Comparison of Chips

ASIC

FPGA

DSPµP

FLEXIBILITY

POWER

CONSUMPTION

Page 28: Introduction

Comparison of ChipsASIC FPGA µP/µC DSP

ProcessorFlexibility 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

Page 29: Introduction

Course Outline1

• Review of discrete time signal and system; Discrete Time Fourier Transform (DTFT);z-Transform; sampling of continuous time signals

2 • More about sampling: DT/digital processing of analog signal; multirate DTSP

3 • Frequency domain analysis of LTI system

4 • Structure for DT system: signal flow graphs, implementation and noise issues

5 • Design of DT filters

6 • Practical computation of DTFT: the discrete Fourier transform(DFT), computation of the DFT (FFT)

Page 30: Introduction

Course Outline

Page 31: Introduction

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

• Practical computation of F


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