Course detail
Digital Signal Processors
FEKT-LSPRAcad. year: 2018/2019
Definition of digital signal processor, its differences from the other microprocessors. Generations of digital signal processors and their typical features, trends of development. Basic digital signal processor architectures – the Harvard architecture, the VLIW architecture. Fixed- and floating-point number formats, IEEE-754 standard. Fixed-point digital signal processor of the TMS320C6400 series. Processor core, functional units, register set, addressing modes. Instruction set and the way it is applied. Link between programming in assembler and in the C language, intrinsic function, pragma expressions. Canonic and non-canonic structures for implementing FIR and IIR digital filters in digital signal processors, analysis of quantization noise, Mason’s rule, transfer function modification regarding fixed-point representation. Adaptive LMS algorithm and its implementation. Generation of harmonic signal and harmonic analysis, Goertzel's algorithm, structure of FFT algorithm and its types. Sum of peripherals, memory mapping, communication with external peripheries, direct memory access DMA. Real-time processing, circular buffer, double buffering.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
- 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.
Prerequisites
- 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.
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Solution of seven homework assignments max. 40 marks
Written examination max. 60 marks
Course curriculum
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.
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Computer exercises are obligatory
Individual homeworks is obligatory
Written examination is obligatory
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Texas Instruments fixed-point digital signal processors. Processor core and the sum of peripherals. Storage mapping. Development tools. Instruction file and the way it is applied. Basic types of operations, pipelining, macro-commands and subprograms. Connection with programming in the C-language. Integer and fraction formats expressed in the ALU unit and in the memory. Saturation arithmetic, rounding. Addressing unit modes, modulo and reverse-bit addressing.
3. Canonic and non-canonic structures for the implementation of type IIR and FIR filters on digital signal processor. Description via signal flow graphs, Mason's rule. Introduction of initial conditions, connection with implementation. Effect of initial conditions on total response. Adaptive filtering on digital signal processor. Type LMS algorithm and its implementation. Example of application.
4. Generation of harmonic signal and harmonic analysis. Goertzel's algorithm. Structure of FFT algorithm and its types. Adapting the FFT algorithm for implementation on digital signal processor. Real-time spectral analysis with FFT on digital signal processor. Power spectral desnity and its calculation.
5. Peripherals of digital signal processor, co-processors, direct access to memory, structure of control unit, interrupt, type DO cycle, stack, on-chip emulation, JTAG. Floating-point digital signal processors and their distinctive features. IEEE-754 Standard, formats of fixed- and floating-point numbers. Subdividing the ALU unit into several parts. Examples of application.
Laboratory exercise
Teacher / Lecturer
Syllabus
2. Implementation of FIR digital filters. Implementation of IIR digital filters.