430-6009/01 – Signal Processors and Applications (SPD)

Gurantor departmentDepartment of Applied ElectronicsCredits10
Subject guarantorprof. Ing. Petr Palacký, Ph.D.Subject version guarantorprof. Ing. Petr Palacký, Ph.D.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2010/2011Year of cancellation
Intended for the facultiesFEIIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
PAL70 prof. Ing. Petr Palacký, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 28+140
Part-time Examination 9+140

Subject aims expressed by acquired skills and competences

The fundamental subject aim is to get more deeply acquainted with microcomputer control systems with digital signal processors.

Teaching methods

Individual consultations
Project work

Summary

The subject develops base knowledges in microprocessor techniques. It aims one´s effort to knowledge of modern signal processors Texas Instruments and their applications.

Compulsory literature:

KUO, Sen M., Bob H. LEE a Wenshun TIAN. Real-time digital signal processing: fundamentals, implementations and applications. Third edition. Chichester, West Sussex: Wiley, 2013. ISBN 978-1118414323. SOZANSKI, KrzysztofDigital signal processing in power electronics control circuits. New York, NY: Springer Berlin Heidelberg, 2017. ISBN 9781447173311. LAXPATI, S. R. a Vladimir GONCHAROFF. Practical signal processing and its applications: with solved homework problems. New Jersey: World Scientific, [2018]. ISBN 978-9813224025. INGLE, Vinay K. a John G. PROAKIS. Digital signal processing using MATLAB. 3rd ed. Stamford, Conn.: Cengage Learning, c2012. ISBN 1111427372. MANOLAKIS, Dimitris G. a Vinay K. INGLE. Applied digital signal processing: theory and practice. New York: Cambridge University Press, 2011. ISBN 978-0521110020.

Recommended literature:

www.ti.com: Reference Guide TMS320x2833x, 2823x System Control and Interrupts http://www.dspguide.com

Additional study materials

Way of continuous check of knowledge in the course of semester

Continuous checking of current project.

E-learning

Other requirements

There are no additional requirements for the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Basic knowledge summary of digital and microprocessor techniques, current modern 32-bit microprocessors and microcontrollers characteristics for use in real-time applications. Discrete digital signals, methods of their analysis, transmission functions and their description. Digital signal processing algorithms implementation. Basic structures of digital filters. Digital FIR filter, properties, design, frequency response, implementation in C language. Digital IIR filter, properties, design, frequency response, implementation in C language. Discrete Fourier Transform and Fast Fourier Transform. Adaptive filtration, LMS-type algorithm and its implementation. Instruction set and its use, connection to programming in C language. Algorithm Optimization, utilization of library functions. Architecture of signal processors and microcontrollers, its division, instruction pipelining, VLIW architecture, computational unit characteristics (ALU, FPU, CLA, TMU, VCU), Dual-core multiprocessor systems. Internal peripherals of signal microcontrollers, analogue input and output, parallel and serial data transmission, direct memory access, user communication and superior system. Signal microcontrollers TMS320F28335 and TMS320F28379S (D), basic parameters, internal architecture, memory organization, internal peripherial systém. FPGA and digital signal processor link. Utilization of signal microcontrollers in power electronics applications, control of power inverters. Utilization of digital signal processing algorithms in the field of regulation of electric drives and power systems.

Conditions for subject completion

Part-time form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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