Nedourčená slepá separace zvukových signálů
| Autor: | Čermák, Jan |
|---|---|
| Jazyk: | čeština |
| Rok vydání: | 2008 |
| Předmět: |
time-frequency masking
analýza nezávislých komponent směrování přijímací charakteristiky řídké signály independent component analysis musical noise Underdetermined blind source separation Nedourčená slepá separace signálů sparse component analysis signal enhancement beamforming časově-frekvenční maskování sparse signal zvýrazňování signálu hudební šum směrovač analýza řídkých komponent beamformer |
| Druh dokumentu: | Doctoral Thesis |
| Popis: | We often have to face the fact that several signals are mixed together in unknown environment. The signals must be first extracted from the mixture in order to interpret them correctly. This problem is in signal processing society called blind source separation. This dissertation thesis deals with multi-channel separation of audio signals in real environment, when the source signals outnumber the sensors. An introduction to blind source separation is presented in the first part of the thesis. The present state of separation methods is then analyzed. Based on this knowledge, the separation systems implementing fuzzy time-frequency mask are introduced. However these methods are still introducing nonlinear changes in the signal spectra, which can yield in musical noise. In order to reduce musical noise, novel methods combining time-frequency binary masking and beamforming are introduced. The new separation system performs linear spatial filtering even if the source signals outnumber the sensors. Finally, the separation systems are evaluated by objective and subjective tests in the last part of the thesis. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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