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Lecturer(s)
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Konečný Jiří, Ing. Ph.D.
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Pidanič Jan, doc. Ing. Ph.D.
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Hořeňovská Veronika, Ing.
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Course content
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Introduction - a short survey of A/D and D/A converters, sampling in time and quantization in amplitude, coding. Block diagram of analog signal discrete processing. Sample rate reduction and increase by an integer factor. Digital system analysis in the image (transform) area. Transfer function in the Z-transform, connection with convolution in the time area, stability, causality, responses of the digital system to some input signals. Systems with linear phase, recursive and nonrecursive digital systems. Discrete Fourier Transform (DFT) and its implementation with fast Fourier transform (FFT), using of FFT. Digital filters and their implementation with finite impulse response (FIR) and infinite impulse response (IIR) systems. Implementation in time domain, canonic forms of implementation, effects of the finite word length, quantization of the coefficients, round-off noise. Parameters of the filters, implementation of the FIR filters with help of weighting window, implementation of the IIR filters with help of analog transfer function - bilinear and other transforms. (Butterworth, Tchebyshev, elliptic filters.) Digital Processing of random signals.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Work with text (with textbook, with book), Methods of individual activities, Laboratory work
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Learning outcomes
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This subject (Digital Signal Processing - master study) follows the subject with the same name from bachelor degree study. The aim of this course is to give to students more deep and thorough knowledge about digital signal processing. It serves as a theoretic base for another subjects.
Through the study of this subject student acquires more deep knowledge about digital signal processing - using of DFT, Z-transform, design of filters. Student will be able to use this knowledge for design of concrete equipments for signal processing.
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Prerequisites
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Good knowledge of signals and circuits and basics of signal processing is needed.
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Assessment methods and criteria
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Oral examination, Written examination, Home assignment evaluation
Good knowledge of signals and circuits and basics of signal processing is needed. Student will attend lectures, exercises and laboratory works. Before the exam the student have to work out an individual work (exercise from area of digital signal processing) in written form.
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Recommended literature
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Davídek, V., Pšenička, B. Prostředky diskrétního zpracování signálů. ČVUT.
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Davídek, V., Sovka, P. Číslicové zpracování signálu a implementace. ČVUT.
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PRCHAL, J., ŠIMÁK, B. Digitální zpracování signálů v telekomunikacích. ČVUT Praha, 2000.
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Uhlíř, J., Sovka, P. Číslicové zpracování signálu. ČVUT.
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