Czech

Not applicable.

Student will gain:
* Overview of the technical devices in which the digital systems are implemented,
* overview of the various generations of digital signal processors and their properties,
* experience with the implementation of digital signal processing algorithms using fixed-point arithmetic,
* experience with the programming microcontrollers in the C language,
* practical experience with the implementation of real-time digital signal processing,
* practical experience with the design of digital filters.
Experience can be in particular utilized:
* When optimizing digital signal processing algorithms,
* when programming the microprocessor,
* when the development of telecommunication equipment.

The basic knowledge of the digital signal processing (sampling, representation of discrete-time signals, description of discrete-time systems, etc.) and of microprocessor technology (principles of microprocessors, registers, memory, programming in the C language, debugging) are required. Appropriate courses, in which this knowledge can be obtained, are compulsory and optional specialised courses of Teleinformatics study area or equivalent:
* Computers and Programming 2 (KPC2),
* Signals and Systems Analysis (KASS),
* Digital Circuits and Microprocessors (KDOM).

Not applicable.

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.
Tutorials have the explanation of basic principles, methodology of the discipline problems and their solutions.
Practice proceeds on digital signal processor development kits and Matlab.

Evaluation of study results follows Rules for Studies and Examinations of BUT and Dean's Regulation to the Rules for Studies and Examinations of BUT.
Solution of the seven homeworks max. 40 marks
Written examination max. 60 marks

1. Technical devices for the implementation of digital systems, Von Neumann architecture of microcontrollers, Harvard architecture of digital signal processors, digital signal processor generation, interfaces for real-time debugging.
2. Programming processors in the C language, the compilation process, the pre-processor directives, linking stage, intrinsic functions, assembler language, linking assembler and the C language.
3. The communication of the digital signal processor with off-chip peripherals, connecting the A / D and D / A converters, circular buffering, double buffering, interrupt handling, the controller program.
4. Description of digital system, difference equations, transfer functions, zeros, poles, state-space description, signal flow graph, Mason's rule, the basic characteristics of digital systems, frequency response, impulse response, stability.
5. Floating-point arithmetic, fixed-point arithmetic, dynamic range, saturation, quantization noise, arithmetic logical unit, analysis of quantization effects on the transfer function and other characteristics of digital systems, limit cycles.
6. Structures for the realization of digital systems, canonical forms of realization, the classification of digital systems, digital systems with finite impulse response (FIR) and infinite impulse response (IIR).
7. Hardware cycles, address generation unit, addressing modes, utilization of addressing modes in the C language and assembler, optimization of digital systems, code profiling.
8. Design of FIR digital filters: Window method, frequency sampling method, optimum equiripple linear phase filter design method, Remez's algorithm.
9. Design of IIR digital filters: a method of bilinear transformation, method of impulse invariance. Conversion to the second-order section.
10. Inverse filtering, Wiener optimal filtering, the Wiener-Hopf equation. Adaptive filters, LMS algorithm, RLS algorithm, properties and applications of adaptive filters.
11. Multi-rate systems, decimation and interpolation, sampling-rate conversion by a rational number, polyphase filter structures.
12. Filter banks, DFT filter bank, filter bank modulated by cosine function, two-channel filter bank, perfect reconstruction condition, quadrature mirror filters.
13. Fundamentals of nonlinear digital signal processing, filters based on sorting, homomorphic filtering, cepstral analysis.

Not applicable.

Improve students' knowledge of the digital signal processing (DSP) obtained in previous courses. Acquaint students with the basic principles of implementation on technical devices (digital signal processors and microcontrollers). Acquaint students with the programming digital signal processors in the assembler and in the C language. Acquaint students with the differences and the problems of implementation of digital signal processing methods using floating- and fixed-point arithmetic.

Tutorials are not duly
Computer exercise are duly
Surrender of separate tasks is duly

Not applicable.

Not applicable.

PROAKIS, J. G.;MANOLAKIS, D. G.:Digital Signal Processing. Prentice Hall: New Jersey, 1996. 3 edition. 966 p. ISBN 0-13-373762-4 (EN)
VÍCH,R., SMÉKAL,Z.: Digital Filters (Číslicové filtry). Academia, Praha 2000. ISBN 80-200-0761-X (In Czech) (CS)

Not applicable.