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Digital Signal Processing

Coordinated by: Dragoș Burileanu, Șerban Mihalache

Rooms: B029


This subject is studied within the field of Electronic Engineering, Telecommunications and Information Technologies / specialization Microelectronics, optoelectronics and nanotechnologies, and aims to familiarize students with the fundamentals of digital signal processing: specific algorithms, processing techniques, VLSI architectures, and practical considerations for implementation. The objective is to understand the phenomena that are associated with the main DSP techniques, from a system design point of view. The numerous examples and detailed explanations given in the lecture notes and chapters help both to clarify more difficult theoretical aspects and to solve practical applications and problems, relevant for engaging the students in the learning process. Additionally, the laboratory applications have as objective the practical learning of the main concepts in the field of DSP. The applications include various software simulations using a high-level programming environment (MATLAB).

The subject addresses the following basic ideas and specific concepts: the representation and analysis in the time and frequency domains of discrete signals and systems, the discrete Fourier transform and the concept of frequency resolution, fast calculation algorithms for the discrete Fourier transform, the synthesis and analysis of digital filters, concepts related to finite arithmetic in DSP, VLSI structures used in the hardware implementation of DSP systems. All these contribute to providing students with an overview of the methodological and procedural benchmarks related to the DSP field.

Laboratory contents:

  1. Presentation of the MATLAB software package; examples. Generation and time-domain representation of discrete sequences
  2. Time-domain representation of discrete systems: convolution, impulse response, stability; the digital filtering concept
  3. Frequency-domain representation of discrete signals. The discrete Fourier transform (DFT) and the fast Fourier transform (FFT): applications, spectral analysis
  4. Digital filters: synthesis, analysis, implementation
  5. Digital filters for audio applications
  6. Miscellaneous issues in digital signal processing
  7. Laboratory assessment