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Univerzitet u Beogradu

1. Vučijak, Nada M., 1952-. Algoritam za određivanje fazne razlike sinusnih signala niskih učestanosti.

Degree: Elektrotehnički fakultet, 2016, Univerzitet u Beogradu

Tehničke nauke, Elektrotehnika - Elektronika / Technical sciences, Electrical engineering - Electronics

Pouzdano merenje fazne razlike između električnih signala neophodno je u mnogim mernim sistemima kao što su: merenje aktivne i reaktivne električne snage i energije, faktora snage, harmonika u električnom naponu i struji, određivanje kompleksnog odnosa izlaznog i ulaznog signala mernih pretvarača (delitelji napona i strujni šantovi). O značaju merenja faznog ugla najbolje govori činjenica da su mogućnosti merenja i etaloniranja koje se kraće označavaju CMCs (engl. Calibration and Measurement Capabilities) faznog ugla, nacionalnih metroloških instituta pojedinih država, objavljene na internet stranici Međunarodnog biroa za tegove i mere (fr. Bureau International des Poids et Measures - BIPM) http://kcdb.bipm.org, pošto ih je prethodno odobrila regionalna metrološka organizacija EURAMET (engl. European Association of National Metrology Institutes). Danas se fazna razlika između dva kontinualna sinusna signala najčešće određuje koristeći uzorke signala koji se obrađuju nekim od algoritama za određivanje fazne razlike. U NMI (engl. National Metrological Institutes) se za uzorkovanje signala uobičajeno koriste DSV (engl. digital sampling voltmeters) koji obavljaju vremensku i amplitudnu diskretizaciju signala. Uz rezultate merenja obavezno se daje i procena merne nesigurnosti, u skladu sa međunarodnim dokumentima. Predmet istraživanja disertacije je algoritam za određivanje fazne razlike iz uzoraka dva sinusna signala. Na osnovu poznatih algoritama UQDE (engl. unbiased quadrature delay estimator) i QDE (engl. quadrature delay estimator) razvijen je i testiran novi algoritam MSAL (engl. modified simple algorithm) za određivanje fazne razlike iz uzoraka dva sinusna signala. U novom algoritmu, korišćenjem dva postojeća signala uvode se dva nova signala fazno pomerena u odnosu na postojeće signale. Testira se hipoteza da je izborom faznog kašnjenja moguće dobiti vrednost fazne razlike između dva sinusna signala koristeći po jedan uzorak svakog signala (algoritam nazvan SAL), a...

Advisors/Committee Members: Saranovac, Lazar, 1961-.

Subjects/Keywords: sinusoidal electrical signals; phase difference; signal sampling; MSAL algorithm; calibration; measurement uncertainty

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vučijak, Nada M., 1. (2016). Algoritam za određivanje fazne razlike sinusnih signala niskih učestanosti. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:11933/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vučijak, Nada M., 1952-. “Algoritam za određivanje fazne razlike sinusnih signala niskih učestanosti.” 2016. Thesis, Univerzitet u Beogradu. Accessed August 14, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:11933/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vučijak, Nada M., 1952-. “Algoritam za određivanje fazne razlike sinusnih signala niskih učestanosti.” 2016. Web. 14 Aug 2020.

Vancouver:

Vučijak, Nada M. 1. Algoritam za određivanje fazne razlike sinusnih signala niskih učestanosti. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2020 Aug 14]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:11933/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vučijak, Nada M. 1. Algoritam za određivanje fazne razlike sinusnih signala niskih učestanosti. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:11933/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

2. Anantharaman, B. Compressed Domain Processing of MPEG Audio.

Degree: MSc Engg., Faculty of Engineering, 2005, Indian Institute of Science

MPEG audio compression techniques significantly reduces the storage and transmission requirements for high quality digital audio. However, compression complicates the processing of audio in many applications. If a compressed audio signal is to be processed, a direct method would be to decode the compressed signal, process the decoded signal and re-encode it. This is computationally expensive due to the complexity of the MPEG filter bank. This thesis deals with processing of MPEG compressed audio. The main contributions of this thesis are a) Extracting wavelet coefficients in the MPEG compressed domain. b) Wavelet based pitch extraction in MPEG compressed domain. c) Time Scale Modifications of MPEG audio. d) Watermarking of MPEG audio. The research contributions starts with a technique for calculating several levels of wavelet coefficients from the output of the MPEG analysis filter bank. The technique exploits the toeplitz structure which arises when the MPEG and wavelet filter banks are represented in a matrix form, The computational complexity for extracting several levels of wavelet coefficients after decoding the compressed signal and directly from the output of the MPEG analysis filter bank are compared. The proposed technique is found to be computationally efficient for extracting higher levels of wavelet coefficients. Extracting pitch in the compressed domain becomes essential when large multimedia databases need to be indexed. For example one may be interested in listening to a particular speaker or to listen to male female audio segments in a multimedia document. For this application, pitch information is one of the very basic and important features required. Pitch is basically the time interval between two successive glottal closures. Glottal closures are accompanied by sharp transients in the speech signal which in turn gives rise to a local maxima in the wavelet coefficients. Pitch can be calculated by finding the time interval between two successive maxima in the wavelet coefficients. It is shown that the computational complexity for extracting pitch in the compressed domain is less than 7% of the uncompressed domain processing. An algorithm for extracting pitch in the compressed domain is proposed. The result of this algorithm for synthetic signals, and utterances of words by male/female is reported. In a number of important applications, one needs to modify an audio signal to render it more useful than its original. Typical applications include changing the time evolution of an audio signal (increase or decrease the rate of articulation of a speaker),or to adapt a given audio sequence to a given video sequence. In this thesis, time scale modifications are obtained in the subband domain such that when the modified subband signals are given to the MPEG synthesis filter bank, the desired time scale modification of the decoded signal is achieved. This is done by making use of sinusoidal modeling [I]. Here, each of the subband signal is modeled in terms of parameters such as amplitude phase and… Advisors/Committee Members: Ramakrishnan, K R (advisor).

Subjects/Keywords: Electrical Communications; MPEG Audio Coding Digital Technique; Audio Signal Processing; Least Significant Bit (LSB); Audio Signals Compression; Wavelet Coefficients; Time Scale Modifications; Sinusoidal Model; Compressed Domain; Wavelet Based Pitch Extraction; Audio Watermarking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Anantharaman, B. (2005). Compressed Domain Processing of MPEG Audio. (Masters Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/3914

Chicago Manual of Style (16th Edition):

Anantharaman, B. “Compressed Domain Processing of MPEG Audio.” 2005. Masters Thesis, Indian Institute of Science. Accessed August 14, 2020. http://etd.iisc.ac.in/handle/2005/3914.

MLA Handbook (7th Edition):

Anantharaman, B. “Compressed Domain Processing of MPEG Audio.” 2005. Web. 14 Aug 2020.

Vancouver:

Anantharaman B. Compressed Domain Processing of MPEG Audio. [Internet] [Masters thesis]. Indian Institute of Science; 2005. [cited 2020 Aug 14]. Available from: http://etd.iisc.ac.in/handle/2005/3914.

Council of Science Editors:

Anantharaman B. Compressed Domain Processing of MPEG Audio. [Masters Thesis]. Indian Institute of Science; 2005. Available from: http://etd.iisc.ac.in/handle/2005/3914

.