Adaptive identification of acoustic multichannel systems using sparse representations:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Electronic eBook |
| Language: | English |
| Published: |
Cham [u.a.]
Springer
2015
|
| Series: | T-Labs series in telecommunication services
|
| Subjects: | |
| Online Access: | UBY01 Volltext Inhaltsverzeichnis Abstract |
| Physical Description: | 1 Online-Ressource (XIV, 113 S.) Ill., graph. Darst. |
| ISBN: | 9783319089546 9783319089539 |
| DOI: | 10.1007/978-3-319-08954-6 |
Staff View
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| 245 | 1 | 0 | |a Adaptive identification of acoustic multichannel systems using sparse representations |c Karim Helwani |
| 264 | 1 | |a Cham [u.a.] |b Springer |c 2015 | |
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Record in the Search Index
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| adam_text | ADAPTIVE IDENTIFICATION OF ACOUSTIC MULTICHANNEL SYSTEMS USING SPARSE
REPRESENTATIONS
/ HELWANI, KARIM
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION
FUNDAMENTALS OF ADAPTIVE FILTER THEORY
SPATIO-TEMPORAL REGULARIZED RECURSIVE LEAST SQUARES ALGORITHM
SPARSE REPRESENTATION OF MULTICHANNEL ACOUSTIC SYSTEMS
UNIQUE SYSTEM IDENTIFICATION FROM PROJECTIONS
GEOMETRICAL CONSTRAINTS
ACOUSTIC ECHO SUPPRESSION
CONCLUSION
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
ADAPTIVE IDENTIFICATION OF ACOUSTIC MULTICHANNEL SYSTEMS USING SPARSE
REPRESENTATIONS
/ HELWANI, KARIM
: 2015
ABSTRACT / INHALTSTEXT
THIS BOOK TREATS THE TOPIC OF EXTENDING THE ADAPTIVE FILTERING THEORY IN
THE CONTEXT OF MASSIVE MULTICHANNEL SYSTEMS BY TAKING INTO ACCOUNT A
PRIORI KNOWLEDGE OF THE UNDERLYING SYSTEM OR SIGNAL. THE STARTING POINT
IS EXPLOITING THE SPARSENESS IN ACOUSTIC MULTICHANNEL SYSTEM IN ORDER TO
SOLVE THE NON-UNIQUENESS PROBLEM WITH AN EFFICIENT ALGORITHM FOR
ADAPTIVE FILTERING THAT DOES NOT REQUIRE ANY MODIFICATION OF THE
LOUDSPEAKER SIGNALS. THE BOOK DISCUSSES IN DETAIL THEDERIVATION OF
GENERAL SPARSE REPRESENTATIONS OF ACOUSTIC MIMO SYSTEMSIN SIGNAL OR
SYSTEM DEPENDENT TRANSFORM DOMAINS.EFFICIENT ADAPTIVE FILTERING
ALGORITHMSIN THE TRANSFORM DOMAINS ARE PRESENTED AND THE RELATION
BETWEEN THE SIGNAL- AND THE SYSTEM-BASED SPARSE REPRESENTATIONS IS
EMPHASIZED. FURTHERMORE, THE BOOK PRESENTS A NOVEL APPROACH TO SPATIALLY
PREPROCESS THE LOUDSPEAKER SIGNALS IN A FULL-DUPLEX COMMUNICATION
SYSTEM. THE IDEA OF THE PREPROCESSING IS TO PREVENT THE ECHOES FROM
BEING CAPTURED BY THE MICROPHONE ARRAY IN ORDER TO SUPPORT THE AEC
SYSTEM. THE PREPROCESSING STAGE ISGIVENAS
ANEXEMPLARILYAPPLICATION OF A NOVEL UNIFIED FRAMEWORK FOR THE
SYNTHESIS OF SOUND FIGURES. FINALLY,A MULTICHANNEL SYSTEM FOR THE
ACOUSTIC ECHO SUPPRESSIONISPRESENTEDTHAT CAN BE USED AS A
POSTPROCESSING STAGE FOR REMOVING RESIDUAL ECHOES.AS FIRST OF ITS
KIND, IT EXTRACTS THE NEAR-END SIGNAL FROM THE MICROPHONE SIGNAL WITH A
DISTORTIONLESS CONSTRAINT AND WITHOUT REQUIRING A DOUBLE-TALK DETECTOR
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Helwani, Karim |
| author_GND | (DE-588)1052951864 |
| author_facet | Helwani, Karim |
| author_role | aut |
| author_sort | Helwani, Karim |
| author_variant | k h kh |
| building | Verbundindex |
| bvnumber | BV042167752 |
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| dewey-full | 621.382 621.3 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.382 621.3 |
| dewey-search | 621.382 621.3 |
| dewey-sort | 3621.382 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1007/978-3-319-08954-6 |
| format | Thesis Electronic eBook |
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| id | DE-604.BV042167752 |
| illustrated | Illustrated |
| indexdate | 2025-02-20T06:51:12Z |
| institution | BVB |
| isbn | 9783319089546 9783319089539 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027607253 |
| oclc_num | 885877405 |
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| physical | 1 Online-Ressource (XIV, 113 S.) Ill., graph. Darst. |
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| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Springer |
| record_format | marc |
| series2 | T-Labs series in telecommunication services |
| spellingShingle | Helwani, Karim Adaptive identification of acoustic multichannel systems using sparse representations Engineering Input-output equipment (Computers) Acoustics Electrical engineering Signal, Image and Speech Processing Input/Output and Data Communications Communications Engineering, Networks Ingenieurwissenschaften |
| subject_GND | (DE-588)4113937-9 |
| title | Adaptive identification of acoustic multichannel systems using sparse representations |
| title_auth | Adaptive identification of acoustic multichannel systems using sparse representations |
| title_exact_search | Adaptive identification of acoustic multichannel systems using sparse representations |
| title_full | Adaptive identification of acoustic multichannel systems using sparse representations Karim Helwani |
| title_fullStr | Adaptive identification of acoustic multichannel systems using sparse representations Karim Helwani |
| title_full_unstemmed | Adaptive identification of acoustic multichannel systems using sparse representations Karim Helwani |
| title_short | Adaptive identification of acoustic multichannel systems using sparse representations |
| title_sort | adaptive identification of acoustic multichannel systems using sparse representations |
| topic | Engineering Input-output equipment (Computers) Acoustics Electrical engineering Signal, Image and Speech Processing Input/Output and Data Communications Communications Engineering, Networks Ingenieurwissenschaften |
| topic_facet | Engineering Input-output equipment (Computers) Acoustics Electrical engineering Signal, Image and Speech Processing Input/Output and Data Communications Communications Engineering, Networks Ingenieurwissenschaften Hochschulschrift |
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| work_keys_str_mv | AT helwanikarim adaptiveidentificationofacousticmultichannelsystemsusingsparserepresentations |