Czech

Not applicable.

Students will be able to:
- explain the meaning of the parameters of microprocessors and digital signal processors, and choose a processor suitable for the application,
- explain the progress of the translation of separate C language source files including linking with other libraries,
- prepare the quantized coefficients of a digital system
- check the stability of the digital system after coefficient quantization,
- design a suitable form to implement the fixed point algorithm,
- analyze the effect of quantization in the structure and assess a suitable structure in terms of quantization,
- consider the advantages of the fast Fourier transform algorithm and Goertzel’s algorithm
- use the direct memory access (DMA) to transfer the samples in real time.

The knowledge of digital signal processing and microprocessor technology is required. Students should be able to:
- describe the function of the basic blocks of the microprocessor (CPU, memory, I / O circuits, etc.)
- explain the basic commands of ANSI C,
- apply the basic commands of the ANSI C language and implement a simple program,
- calculate in terms of numbers the different number systems (binary, hex),
- explain the course of sampling the continuous signal
- explain the importance of stability,
- apply the Fourier transform.

Not applicable.

Teaching methods depend on the type of course unit as specified in article 7 of the BUT Rules for Studies and Examinations.

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

1. Generations of digital signal processors, common properties of digital signal processors, von Neumann's architecture, the Harvard architecture, parallel processing and VLIW architecture.
2. Fixed-point and floating-point representations, representations of negative numbers, properties of fixed-point digital signal processors.
3. Architecture of digital signal processors of the TMS320C6400 series by Texas Instruments, processor core, functional units, registers, specific instructions.
4. Address generation unit, modulo addressing mode.
5. Program structure and writing in assembler.
6. Program structure and writing in the C language, intrinsic functions, pragma directives, integrated development environment.
7. Program Controller, instruction pipeline.
8. Quantization effects on digital filters characteristics, limit cycles, optimization of digital filters in digital signal processors.
9. FIR and IIR digital filter implementation in digital signal processors.
10. Generation of harmonic signals and harmonic analysis, the Goertzel algorithm, implementation of the fast Fourier transform.
11. On-chip peripherals, DMA controller, interrupt controller.
12. External buses, external memory interface.
13. Floating-point digital signal processors.

Not applicable.

The aim of the course is to introduce students to the architecture and basic properties of fixed- and floating-point digital signal processors, to describe the method of assembler programming, and to outline the connection with higher programming languages. Also covered is the implementation of algorithms of linear and adaptive digital filtering.

Lectures are not obligatory
Computer exercises are obligatory
Individual project is obligatory
Written examination is obligatory

Not applicable.

Not applicable.

Smékal, Z., Sysel, P. Signálové procesory. 1. vydání. Praha: Sdělovací technika, 2006. 283 s. ISBN 80-86645-08-8 (CS)
SMÉKAL, Z., VÍCH, R.: Signal Processing on Digital Signal Processors (Zpracování signálů se signálovými procesory). Radix spol. s.r.o, Praha 1998. ISBN 80-86031-18-7 (In Czech) (CS)

Not applicable.