National Repository of Grey Literature 18 records found  previous11 - 18  jump to record: Search took 0.03 seconds. 
Filtering EEG signals
Pohludka, Aleš ; Ronzhina, Marina (referee) ; Potočňák, Tomáš (advisor)
This work describes basics of electroencephalography, measuring methods of electroencephalographic signals, their processing and especially their filtration. The most basic normalised international system for measuring EEG from the scalp is described. The end of theoretical part is dedicated to the most frequent artifacts. The practical part deals with testing two methods based on adaptive filtration of reference EOG signals using the LMS algorithm. Further in the paper are presented tests of before mentioned methods and their verification in practice on gathered signals from volunteers. At the conclusion there is an evaluation of the methods used.
Echo suppressor
Kratochvíl, Pavel ; Smékal, Zdeněk (referee) ; Sysel, Petr (advisor)
In the communication networks a common problem is a returned copy of an original signal that goes back through the network to the sender, disturbing the communication. This problem is attacked using Echo Cancellors that should comply with the specifications of ITU-T organization. Algorithms suitable for cancellors should be tested under specified conditions, then a decision should be taken regarding their deployment. This work deals with basic Least Mean Squares and Normalized Least Mean Squares algorithms.
The Use of Recursive Least Squares Method for Vehicle Dynamics Analysis
Sladká, Pavla ; Laurinec, Marián (referee) ; Porteš, Petr (advisor)
Tato diplomová práce nastiňuje teoretické základy potřebné pro návrh algoritmu rekurzivní metody nejmenších čtverců a následně jeho aplikaci na experimentální data naměřená při testovacím manévru uskutečněném v roce 2001. Analyzována byla příčná dynamika jednostopého rovinného modelu vozidla. Práce také obsahuje srovnání výsledků získaných jednak rekurzivním algoritmem a dále i algoritmem Kalmanova filtru.
Adaptive Noise Cancellation in Speech Application
Vomáčka, Jan ; Průša, Zdeněk (referee) ; Sysel, Petr (advisor)
This semestral project deal with methods adaptive noise rejection in acoustic recordings, above all speech signals. Work deal with proposal of suitable system for effective remove noise from acoustic recordings. In theoretic parts are out of print principles of adaptive filters and method of repression noise in acoustic recordings. In practical parts come out proposal and system simulation for adaptive noise rejection in speech.
Control system for electrodynamic vibration exciter
Čala, Martin ; Beneš, Petr (referee) ; Havránek, Zdeněk (advisor)
Master's thesis deals with implementation of a control system for an electrodynamic exciter. Patent and literature research with focus on applicable control methods is performed. Then, description of the methods applicable in the system identification, as well as types of the signals used in the vibration testing are discussed. The practical section is dedicated to the analysis of available hardware resources, design, assembly and verification of a control system for an electrodynamic exciter equipped with piezoelectric accelerometer and components of National Instruments.
Adaptive filtering of ECG Signals
Nejezchleba, Zdeněk ; Kozumplík, Jiří (referee) ; Smital, Lukáš (advisor)
The aim was to test the methods for suppression 50 Hz noise with adaptive filtering. When using the general scheme of adaptive and deterministic scheme to suppress hum. The work is a theoretical derivation of adaptive algorithms and some examples of modeling in MATLAB.
Digital signal processing in real time
Zamazal, Zdeněk ; Mačák, Jaromír (referee) ; Rášo, Ondřej (advisor)
This work deals with digital signal processing in the field of adaptive filtering. Fundamental basics of adaptive filtering are described and primary aim is to create executable laboratory examples, using adaptive filtering, in LabView programming language. These laboratory examples are intended to be used by students fo studying and during laboratory lessons. Objective is to connect the examples with external devices, such as microphone. A microphone is used as an user's speech input acquiring interface. In the thesis is depicted Wiener's filter and problem of adaptive filtering is discussed. Contemporary adaptive algorithms are described and their applications as well. Most mentioned is the LMS algorithm and it's forms. Laboratory examples use following concepts: Adaptive Echo Cancellation, Active Noise Control and System Identification. Each of these examples is solely executable (need for LabView or Run-time engine), consisting also of theory with diagrams. Examples therefore are usable even without manual.
Implementation of the channel equalization algorithms used in FMT modulation
Krejča, Libor ; Krajsa, Ondřej (referee) ; Šilhavý, Pavel (advisor)
The objective of Diploma thesis is design of analysis tool for equalizers used in FMT modulation. The model of transmission channel was designed for simulations with FMT. The transmission path is modeled by test loop, which corresponds to DSL line. For this reason, some principles of DSL technology is described in the thesis. The principles of multicarrier modulation are introduced in first part. The multicarrier modulation with filter bank (FMT) is described in detail.The different methods of design the fiter bank are given and compared. Channel equalization are introduced in second part. The attention was focused on minimum mean square error filtering (MMSE). Decision feedback channel equalizer (DFE) is extended from linear MMSE equalizer. DFE equalizers were programmed in analysis tool. For computation of equalizer coeficients was used also equalizers based on adaptive algorithms and MMSE. The last part describes the results of DFE equalizers used in communication system with FMT modulation. Analysis tool was programmed in MATLAB with a graphical user interface. It allows to show mean square error, signal-to-noise ratio and transmission speed dependence on delay between original and distorted signal. Signal-to-noise ration is displayed also in individual subchannels and users can display mean square error dependence on different orders of DFE filters.

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