Subject description - AE0M38SPP

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AE0M38SPP Signal Processors in Practice
Roles:  Extent of teaching:2P+2L
Department:13138 Language of teaching:EN
Guarantors:  Completion:Z,ZK
Lecturers:  Credits:5
Tutors:  Semester:Z

Web page:

http://measure.feld.cvut.cz/en/education/courses/AE0M38SPP

Anotation:

Basic architecture of digital signal processors, main features and properties, description of important processor blocks (ALU, MAC). Development and supporting tools for design and debug. Fundamental method of digital signal processing including practise implementation on digital signal processor (DSP). Demonstration of HW design with application of DSP. Within laboratory exercises, realisation of scheduled or own complex project.

Course outlines:

1. Basic architecture of digital signal processors (DSP), main features,
typical application in practice, overview of leading-edge manufactures of DSP.
2. Internal layout, computational units ALU, MAC, instruction counter,
method of addressing, address memory range.
3. Algorithm of direct digital synthesis (DDS) and its implementation on
DSP.
4. Algorithm of digital filters (FIR a IIR) , design in MATLAB program.
5. Adaptive filtering, LMS algorithm.
6. Algorithm of FFT, computation method of FFT on DSP.
7. Correlation and autocorrelation method.
8. Oversampling of signals, decimation and interpolation.
9. Numeric formats used for data representation in memory (integer,
fractional), saturation. arithmetic, influence of quantization on computation accuracy.
10. DSP peripheries - serial port, timers, DMA, multiprocessor
communication.
11. Development and supporting tools for design and debugging.
12. Demonstration of HW design with application of DSP.
13. Application of DSP in audio-video signal processing (MP3, MPEG4 format),multiprocessor systems.

Exercises outline:

1. Introduction exercise - SW a HW debugging equipment, supporting tools.
2. Instruction set of ADSP21XX, example of writing program code in assembler
and language C.
3. Design and implementation of DDS algorithm.
4. Design of FIR filter by means of MATLAB program, implementation on DPS.
5. Design of IIR filter by means of MATLAB program, implementation on DPS.
6. Design and DSP implementation of DFT algorithm.
7. Implementation of correlation and autocorrelation method.
8. Semester project.
9. Semester project.
10. Semester project.
11. Semester project.
12. Semester project.
13. Project evaluation, assessment.

Literature:

[1] B.A. Shenoi: Introduction to digital signal processing and filter design. Wiley. 2005
[2] Mixed-signal and DSP Design Techniques. Norwood. Analog Devices, 2000.
[3] Digital signal processing: [principles, algorithms, and applications]. John G. Proakis, Dimitris G. Manolakis. Prentice Hall, 2007.

Requirements:

Subject is included into these academic programs:

Program Branch Role Recommended semester


Page updated 29.3.2024 14:51:28, semester: Z/2024-5, Z,L/2023-4, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)