Registry
Module Specifications
Archived Version 2017 - 2018
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Description This module will provide students with the knowledge, skills and competencies in the area of high-speed DSP. It is focused on providing students with not only a strong theoretical foundation, but also the ability to make practical use of modern DSP approaches. | |||||||||||||||||||||||||||||||||||||
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Learning Outcomes 1. Demonstrate a mastery and detailed appreciation of the theoretical founding principles, central algorithms and current implementation-focussed technology of DSP. 2. Categorize the different classes of problems in DSP, and to decide upon appropriate methodologies and technologies for their solution. 3. Design and implement algorithmic solutions for solving advanced DSP problems. 4. Design and implement DSP algorithms for real-time applications. 5. Establish and categorize hardware/software boundaries in DSP 6. Define embedded systems with consideration to cost, power, accuracy and other constraints. 7. Conduct literature searches, abstract and summarize relevant ideas and techniques in DSP- related areas, and demonstrate scientific report writing to as Masters level. 8. Demonstrate the use of analysis and presentation packages relevant to DSP. | |||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and
Learning Activities A review of DSP fundamentalsADC, DACs, Nyquist criteria, Aliasing; Fixed point and floating point number representations; Time-domain and Frequency-domain representation of discrete-time signals, Linear time-invariant systems in the transform domain, Transfer functions; Convolution, Correlation, Windowing operations; Applications of DSP, Low cost DSP, Power efficient DSP, High performance DSP.Quadrature and multi-rate signal processingThe Hilbert transform; waveform modulation; waveform detection/demodulation; envelope detection and rectification; quadrature frequency translation; decimation; interpolation; base-band sampling; IF and under sampling, frequency shift and recovery.Real-time Systems:Real-time systems (soft and hard real time systems, differences between real time and time shared systems, real time event characteristics) Efficient execution (resource management), Challenges in real time systems, Distributed and multiprocessor architectures, Embedded systems.Embedded Systems and DSP:Introduction to embedded systems, hardware gates, software programmable, general purpose processors, microcontrollers, FPGA enabled solutionsHardware for DSPFPGA in embedded design, ASICs vs FPGAs, Software programmable DSP, General purpose embedded cores; Accuracy vs complexityDSP Programmable Architectures (DSPPA):Common features of DSPPA (DSP core and Instruction Set Architecture features, Memory architecture (access sizes and alignment issues), data operations.Case StudiesExamples include: DSP for IoT, DSP for SDR, LTE baseband software design, MIMO systems, Beamforming for WIMAX | |||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources 23066, Website, 0, Module Loop Website, loop.dcu.ie, | |||||||||||||||||||||||||||||||||||||
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