Digital Signal Processing
Prelucrarea Digitală a Semnalelor
Module Description: This module provides knowledge on concepts of signals, systems, and signal processing, based on fundamental principles. The laboratories contain basic knowledge and mathematics, complemented by many examples. The laboratories cover the theory of digital signal processing techniques and digital filter design.
Module Outcomes: Students should be able to:
Recognize the differences between analog and digital signal processing and explain the key advantages of digital over analog processing.
Understand the interaction between signals and systems to the extent that we can adequately predict the effect of a system upon the input signal.
Understand the use and implications of the various properties of the discrete-time Fourier transform.
Understand the important types of allpass and minimum-phase systems and their use in theoretical investigations and practical applications.
Understand the major implication of sampling theory which is that it makes possible the processing of continuous-time signals using discrete-time signal processing techniques.
Understand the meaning and basic properties of DFT.
Develop and analyze practically useful structures for both FIR and IIR systems.
Design of discrete-time FIR and IIR filters.
Module Content:
Lab. 0. Noțiuni de protecția muncii (PDF). Prezentarea mediului de lucru MATLAB(PDF).
Lab. 1. Semnale discrete. Analiza în domeniul timp (PDF).
Lab. 2. Sisteme discrete. Analiza în domeniul timp (PDF).
Lab. 3. Semnale discrete. Analiza în domeniul frecvență (PDF).
Lab. 4. Transformata Fourier Rapidă (PDF).
Lab. 5. Filtre Digitale. Filtre cu răspuns finit la impuls (PDF).
Lab. 6. Filtre cu răspuns finit la impuls - continuare (PDF).
Lab. 7. Filtre cu răspuns infinit la impuls (PDF).
Lab. 8. TEST.
Project Details:
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Module Supporting Material:
MATLAB “Getting Started” tutorial videos
MATLAB online documentation
Interactive Signal Processing Tutorial
G
GNU Octave
Additional Supporting Material:
Lecture Notes (Prof. Constantin FILOTE)
The
In addition, the following books contains background information and are recommended:
D.G. Manolakis, V. K. Ingle, Applied Digital Signal Processing, Cambridge University Press 2011
P. Prandoni, M. Vetterli, Signal Processing for Communications,
S. K. Mitra, Digital Signal Processing, McGraw‐Hill, 2011.
Grades:
Grades can be found on "Platforma Școlaritate USV"
Academic Integrity Policy:
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We do not allow inter-students cooperation for the final test or project. If there is a sign of cooperation between students, those students will be treated as a big group, and the grade will be divided accordingly.
More information: Student Guide FIESC
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