Course details
Digital Signal Processing and Analysis
ZAS Acad. year 2003/2004 Winter semester 7 credits
Properties of discrete and digital methods of signal processing, advantages and drawbacks. Linear signal filtering, digital filters of FIR and IIR types, design and realisation. Averaging methods of enhancement of signal in noise. Complex signals and their application, modulation and frequency trasnlation. Correlation and spectral analysis of deterministic and stochastic signals, identification of systems. Detection, inverse filtering and restoration of distorted signals in noise. Principles of signal data compression.
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Subject specific learning outcomes and competences
Insight into digital methods of signal processing and analysis, basic aplication skils and experience.
Learning objectives
To provide basic theoretical knowledge and practical experience in the area of digital signal processing, analysis and restoration.
Progress assessment
2 lab tests, 1 theoretical written test.