Students are able to design architecture for digital signal processing, with accent on the architecture of processors for digital signal processing and their programming.

Students have mastered basic techniques of design and testing of architecture for digital signal processing (DSP). The acquired knowledge is the basis for the future professional courses.

Introduction. Architecture of processors for digital signal processing (Von Neuman and Harvard architecture, RISC and DSP, parallel processing, pipelining, DSP recourses: ALU, memory, dedicated DSPs, DSPs for audio signal processing, DSPs for video signal processing). VLSI technology for DSP. Arithmetic’s of processors for digital signal processing (data format, ways of representing numbers, basic operations ADD, MUL and MAC, specific operations: complex arithmetic’s, cordic, convolution and vector arithmetic’s). DSP programming (real time operation, programming languages C and assembler, tools: compiler, simulator and debugger, testing).

Lectures. Tutorials. Auditory practice. Computer practice. Consultations. The teaching is divided into two blocks. In the first block students attend theoretical classes during the mornings. In the afternoon they attend computer practice classes. During the second block students work on their examination papers.