EE 701 Digital Signal Processing and Filtering Instructor: Dr. Ghazi Al Sukkar Dept. of Electrical...

EE 701Digital Signal Processing and Filtering

Instructor: Dr. Ghazi Al SukkarDept. of Electrical EngineeringThe University of JordanEmail: ghazi.alsukkar@ju.edu.jo

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Course Details Objective

Establish a background in Digital Signal Processing Theory Design and implementation of DSP algorithms

Text Book Discrete-Time Signal Processing, Prentice Hall, 3rd Edition Alan V. Oppenheim, Ronald W. Schafer

Grading Assignments - 10% Project (term paper) - 20% Midterm Exam - 30% Final Exam - 40%

Note: send me an email (in the subject EE701) to assign you the term paper.

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Useful References Digital Signal processing, by John Proakis and Dimitris G. Monalakis. Digital Signal Processing, A computer based approach, third edition, by

Sanjit K. Mitra. Digital Signal Processing, Sanjit H. Mitra. Mc Graw Hill, 3rd Ed. 2006 Digital Signal Processing, R.A. Roberts and C.T. Mullis. Addison-Wesley,

1996. Real-Time Digital Signal Processing, Sen M. Kuo and Bob H. Lee, Wiley,

2001. Optimum Signal Processing, S. Orfanidis, MacMillan, 1988.

Course Websitehttp://www2.ju.edu.jo/sites/Academic/ghazi.alsukkar/

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Course Outline Topic 1 Discrete-Time Signals and

Systems + LTI Topic 2 The Z-Transform Topic 3 Sampling of Continuous Time

Signals Topic 4 Transform Analysis of Linear

Time-Invariant Systems Topic 5 Structures of Discrete-Time

Systems

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Outline Topic 6 FIR and IRR Discrete Filter

Design Techniques Topic 7 The Discrete Fourier

Transform (DFT) Topic 8 Computation of the Discrete

Fourier Transform Topic 9 Applications of Digital Signal

Processing

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Where is DSP

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DSP is Everywhere Sound applications

Compression, enhancement, special effects, synthesis, recognition, echo cancellation,…

Cell Phones, MP3 Players, Movies, Dictation, Text-to-speech,…

Communication Modulation, coding, detection, equalization, echo

cancellation,… Cell Phones, dial-up modem, DSL modem, Satellite

Receiver,… Automotive

ABS, GPS, Active Noise Cancellation, Cruise Control, Parking,…

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DSP Application Medical

Magnetic Resonance, Tomography, Electrocardiogram,…

Military Radar, Sonar, Space photographs, remote

sensing,… Image and Video Applications

DVD, JPEG, Movie special effects, video conferencing,…

Mechanical Motor control, process control, oil and mineral

prospecting,…

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Signal Processing Humans are the most advanced signal processors

speech and pattern recognition, speech synthesis,… We encounter many types of signals in various

applications Electrical signals: voltage, current, magnetic and

electric fields,… Mechanical signals: velocity, force, displacement,… Acoustic signals: sound, vibration,… Other signals: pressure, temperature,…

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Signal processing Most real-world signals are analog

They are continuous in time and amplitude Convert to voltage or currents using sensors and

transducers Analog circuits process these signals using

Resistors, Capacitors, Inductors, Amplifiers,… Analog signal processing examples

Audio processing in FM radios Video processing in traditional TV sets

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Limitations of Analog Signal Processing

Accuracy limitations due to Component tolerances Undesired nonlinearities

Limited repeatability due to Tolerances Changes in environmental conditions

Temperature Vibration

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Cont.. Sensitivity to electrical noise Inflexibility to changes Limited dynamic range for voltage

and currents Difficulty of implementing certain

operations Nonlinear operations Time-varying operations

Difficulty of storing information

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Digital Signal Processing Represent signals by a sequence of numbers

Sampling or analog-to-digital conversions Perform processing on these numbers with a digital

processor Digital signal processing

Reconstruct analog signal from processed numbers Reconstruction or digital-to-analog conversion

A/D DSP D/Aanalogsignal

analogsignal

digital signal

digital signal

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Input vs. Output

Analog input – analog output Digital recording of music

Analog input – digital output Touch tone phone dialing

Digital input – analog output Text to speech

Digital input – digital output Compression of a file on computer

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Advantages and disadvantages of Digital Signal Processing Advantages

Accuracy can be controlled by choosing word length Repeatable Sensitivity to electrical noise is minimal Dynamic range can be controlled using floating point

numbers Flexibility can be achieved with software implementations Non-linear and time-varying operations are easier to

implement Digital storage is cheap Digital information can be encrypted for security Price/performance and reduced time-to-market

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Cont..

Disadvantages Sampling causes loss of information A/D and D/A requires mixed-signal

hardware Limited speed of processors!!! Quantization and round-off errors