Text for all my DSP courses: (DSPCSP)
Digital Signal Processing - A Computer Science Perspective
(Published by John Wiley, Sept 2000)
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There are ten copies in the library.
Fundamentals of Communications Networks 0510.6402
Second Semester 2018, Sundays 16:00-19:00, Engineering Classrooms Room 207
First Semester 2017-18, Sundays 17:00-20:00, Lev Auditorium
LECTURE ATTENDANCE IS MANDATORY! Course syllabusCourse policy
Course over!
Lectures (readings )
[Oct 22] Motivation, What is a signal ? (section 2.1-2.4)
[Oct 29] Signal space (2.5),
Fourier demo,
Fourier series (3.4),
Time and frequency domains (sections 2.6, 3.2, 4.1),
Complex exponentials and negative frequencies (3.6),
negative frequency demo,
DFT (4.7)
[Nov 19] Systems (6.1-6.4), Filters (6.5), Example filters : LP/HP/BP/BS/notch (7.1),
Convolution (6.8), Moving averages (6.6), AR filters (6.9),
started system identification
[Nov 26] Filters - practice session,
system identification (6.12,6.13),
Filters in the frequency domain (6.7,6.9), filter design (7.7),
FIR and IIR filters (6.12),
Filters in the z domain (6.14, 7.5), Pole-zero plots (7.6),
filter parameter conversions
[Oct 30] Motivation, What is a signal ? (section 2.1-2.3)
[Nov 06] Signals (sections 2.2-4), Signal space (2.5),
Fourier demo,
Spectrum (4.1)
[Nov 13] Fourier series (3.4),
Complex exponentials and negative frequencies (3.6),
negative frequency demo,
The sampling theorem (2.8), wagon-wheel demo,
Time and frequency domains (sections 2.6, 3.2),
DFT (4.7)
[Nov 20] Hilbert Transform (4.12), The uncertainty theorem (4.4), z Transform (4.10)
[Nov 27] Systems (6.1-6.4), Filters (6.5), Example filters : LP/HP/BP/BS/notch (7.1),
Moving averages (6.6), AR filters (6.9)
[Dec 04] Convolution (6.8), Filters in the frequency domain (6.7,6.9), filter design (7.7),
system identification (6.12,6.13)
First Semester 2015-16, Sundays 17:00-19:30 (only 1 break), Dan David 001
LECTURE ATTENDANCE IS MANDATORY! Course syllabusCourse policy
Course over !
Lectures (readings )
[Oct 18] Motivation, What is a signal ? (section 2.1-2.3)
[Oct 25] Signals (sections 2.2-4), Signal space (2.5), Fourier demo, Fourier series (3.4)
[Nov 01] Complex exponentials and negative frequencies (3.6),
negative frequency demo,
The sampling theorem (2.8), wagon-wheel demo,
Spectrum (4.1), Time and frequency domains (sections 2.6, 3.2), DFT (4.7)
[Nov 08] Hilbert Transform (4.12), The uncertainty theorem (4.4), z Transform (4.10), Systems (6.1-6.4)
[Nov 15] Filters (6.5), Convolution (6.8), Filters - LP/HP/BP/notch (7.1), Moving averages (6.6), AR filters (6.9), Filters in the frequency domain (6.7,6.9), filter design (7.7)
Seminar in DSP Algorithms and Applications 0368-3328
Second Semester 2015, Sundays 17:00-19:00, Dan David 204
Each participant in the seminar will present a DSP algorithm or application.
Each presentation will include a software demonstration.
Topics and dates will be available on a first-come/first-served basis.
Subject matter must be coordinated with the instructor.
Course grade will depend both on depth of understanding, clarity of presentation, and creativity.