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Advanced Topics in Digital Signal Processing
| Presenter: | Prof. fred harris, San Diego State University |
| Dates: | please enquire |
| Venue: | please enquire |
About Advanced Topics in Digital Signal Processing
This four-day course is designed for communication systems engineers, programmers, implementers and managers who need to understand current practice and next generation Digital Signal Processing techniques for upcoming communication systems. DSP is more than mapping legacy analog designs to a DSP implementation. To avoid compromise solution appropriate for an earlier time period, we return to first principles to learn how to apply new technology capabilities to the design of next generation communication systems.
Course Topics
Introduction: an examination of past, present, and future digital modulation systems
Digital Filters: FIR filters, re-sampling filters, interpolators and decimators, half-band filters, cascade-integrator-comb (CIC) filters, Hogenauer filters, multi-rate IIR filters
Channelizers: modulation and demodulation, design techniques, workload comparisons.
Filter Design Techniques: window designs and performance considerations, equiripple designs, system considerations, options to improve system performance, finite arithmetic
Digital Baseband Transmission: Nyquist filter, excess bandwidth, matched filters, square-root Nyquist filter, shaping and up-sampling filters
Pre- and Post-Signal Conditioning: analog filters, timing jitter, direct digital synthesizers, CORDIC processors, digital oscillators, interpolating and decimating filters in A-to-D and D-to-A, AGC, DC cancelling, I-Q balancing
Sigma-delta Converters: A-to-D, D-to-A, D-to-D, multi-loop and wide-band converters, system considerations
Carrier Centered Modulation and Demodulation: shaping and interpolation, QPSK, QAM, Digital IF options, OFDM, legacy analog modulation and demodulation in DSP. FM modulation and demodulation
Syncronization: phase locked loop, proportional plus integral loops, phase recovery, band edge filters in frequency recovery, timing recovery, polyphase filters in timing recovery.
Adaptive Filters: LMS algorithm, RLS algorithm, lattice filters, linear and adaptive equalization, decision feedback equalizers, constant modulus (blind) equalizers
Modem Structures: wireline, cable, satellite, and terrestrial modems and considerations.
For further information please contact:
Anne-Marie Eliseo
Industry Education Manager
phone: +61-8-8302-3928
email: industryeducation@nicta.com.au
