Strip-method for image and signal transformation /:
This work deals with the matrix methods of continuous signal and image processing according to which strip-transformation is used. The authors suggest ways to solve a problem of evaluating potential noise immunity and synthesis of an optimal filter for the case of pulse noises, of applying the two-d...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Boston :
De Gruyter,
2011.
|
| Schriftenreihe: | De Gruyter studies in mathematical physics ;
1. |
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | This work deals with the matrix methods of continuous signal and image processing according to which strip-transformation is used. The authors suggest ways to solve a problem of evaluating potential noise immunity and synthesis of an optimal filter for the case of pulse noises, of applying the two-dimensional strip-transformation for storage and noise immune transmission of images. The strip-transformation of images is illustrated by examples and classes of images invariant relative to symmetrical orthogonal transformations. |
| Beschreibung: | 1 online resource (1 online resource) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9783110252569 3110252562 3110251922 9783110251920 1283400138 9781283400138 |
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| 245 | 1 | 0 | |a Strip-method for image and signal transformation / |c by Leonid A. Mironovsky, Valery A. Slaev. |
| 260 | |a Berlin ; |a Boston : |b De Gruyter, |c 2011. | ||
| 300 | |a 1 online resource (1 online resource) | ||
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| 490 | 1 | |a De Gruyter studies in mathematical physics ; |v 1 | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a This work deals with the matrix methods of continuous signal and image processing according to which strip-transformation is used. The authors suggest ways to solve a problem of evaluating potential noise immunity and synthesis of an optimal filter for the case of pulse noises, of applying the two-dimensional strip-transformation for storage and noise immune transmission of images. The strip-transformation of images is illustrated by examples and classes of images invariant relative to symmetrical orthogonal transformations. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Foreword; Introduction; 1 Strip-method of signal transformation; 1.1 Strip-method of linear pre-distortions and problems it solves; 1.2 Assurance of the transformed signal continuity; 1.3 Equalization of non-stationary signal variance; 1.4 Equalization of the "informative ability" of a non-stationary signal; 1.5 Narrowing of the pre-distorted signal frequency spectrum; 2 Optimal Chebyshev pre-distortion and filtration; 2.1 Preliminaries; 2.2 Problem statement; 2.3 Estimation of the potential noise immunity in case of single noise. | |
| 505 | 8 | |a 2.4 Estimation of the potential noise immunity in the case of multiple noises2.5 Synthesis of the optimal Chebyshev filter; 2.6 Quasioptimal pre-distortions; 2.7 Introduction of redundancy in the strip-method of linear pre-distortions; 2.7.1 Decreasing the noise power in a reconstructed signal; 2.7.2 Detection, localization, identification and correction of pulse noise; 2.7.3 Possibilities for applying the strip-method in steganography; 3 Strip-method of image transformation; 3.1 Two-dimensional strip-transformation; 3.2 Choice of optimal transformation matrices. | |
| 505 | 8 | |a 3.3 Examples of the strip-transformation of images3.4 Determination of critical multiplicity of noise; 3.5 Root images of the two-sided strip-transformation; 4 Hardware implementation of the strip-method; 4.1 Implementation of the strip-method with usage of magnetic recording -- reproducing instruments; 4.2 Implementation of the strip-method with a cyclic matrix; 4.3 The device for equalization of the signal variance; 4.4 Devices for introducing information redundancy; Conclusion; Appendix Hadamard matrices and the matrices close to them; A.1 Hadamard matrices; A.2 Shortened Hadamard matrices. | |
| 505 | 8 | |a A.3 Conference-matricesA. 4 Optimal matrices of the odd order (M-matrices); A.5 Algorithm for determining optimal matrices; A.6 Characteristics of optimal matrices; Bibliography; Index. | |
| 650 | 0 | |a Image processing |x Mathematics. | |
| 650 | 0 | |a Signal processing |x Mathematics. | |
| 650 | 0 | |a Finite strip method. |0 http://id.loc.gov/authorities/subjects/sh85048357 | |
| 650 | 6 | |a Traitement d'images |x Mathématiques. | |
| 650 | 6 | |a Traitement du signal |x Mathématiques. | |
| 650 | 6 | |a Méthode des bandes finies. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Imaging Systems. |2 bisacsh | |
| 650 | 7 | |a Finite strip method |2 fast | |
| 650 | 7 | |a Image processing |x Mathematics |2 fast | |
| 650 | 7 | |a Signal processing |x Mathematics |2 fast | |
| 700 | 1 | |a Slaev, Valery A. | |
| 758 | |i has work: |a Strip-method for image and signal transformation (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFWpf7hcfgPx9rd4vCBrRq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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| 830 | 0 | |a De Gruyter studies in mathematical physics ; |v 1. |0 http://id.loc.gov/authorities/names/no2012028823 | |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn777489523 |
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| _version_ | 1826941676821676032 |
| adam_text | |
| any_adam_object | |
| author | Mironovskiĭ, L. A. (Leonid Alekseevich) |
| author2 | Slaev, Valery A. |
| author2_role | |
| author2_variant | v a s va vas |
| author_GND | http://id.loc.gov/authorities/names/n99033643 |
| author_facet | Mironovskiĭ, L. A. (Leonid Alekseevich) Slaev, Valery A. |
| author_role | |
| author_sort | Mironovskiĭ, L. A. |
| author_variant | l a m la lam |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TA1637 |
| callnumber-raw | TA1637 .M57 2011eb |
| callnumber-search | TA1637 .M57 2011eb |
| callnumber-sort | TA 41637 M57 42011EB |
| callnumber-subject | TA - General and Civil Engineering |
| collection | ZDB-4-EBA |
| contents | Foreword; Introduction; 1 Strip-method of signal transformation; 1.1 Strip-method of linear pre-distortions and problems it solves; 1.2 Assurance of the transformed signal continuity; 1.3 Equalization of non-stationary signal variance; 1.4 Equalization of the "informative ability" of a non-stationary signal; 1.5 Narrowing of the pre-distorted signal frequency spectrum; 2 Optimal Chebyshev pre-distortion and filtration; 2.1 Preliminaries; 2.2 Problem statement; 2.3 Estimation of the potential noise immunity in case of single noise. 2.4 Estimation of the potential noise immunity in the case of multiple noises2.5 Synthesis of the optimal Chebyshev filter; 2.6 Quasioptimal pre-distortions; 2.7 Introduction of redundancy in the strip-method of linear pre-distortions; 2.7.1 Decreasing the noise power in a reconstructed signal; 2.7.2 Detection, localization, identification and correction of pulse noise; 2.7.3 Possibilities for applying the strip-method in steganography; 3 Strip-method of image transformation; 3.1 Two-dimensional strip-transformation; 3.2 Choice of optimal transformation matrices. 3.3 Examples of the strip-transformation of images3.4 Determination of critical multiplicity of noise; 3.5 Root images of the two-sided strip-transformation; 4 Hardware implementation of the strip-method; 4.1 Implementation of the strip-method with usage of magnetic recording -- reproducing instruments; 4.2 Implementation of the strip-method with a cyclic matrix; 4.3 The device for equalization of the signal variance; 4.4 Devices for introducing information redundancy; Conclusion; Appendix Hadamard matrices and the matrices close to them; A.1 Hadamard matrices; A.2 Shortened Hadamard matrices. A.3 Conference-matricesA. 4 Optimal matrices of the odd order (M-matrices); A.5 Algorithm for determining optimal matrices; A.6 Characteristics of optimal matrices; Bibliography; Index. |
| ctrlnum | (OCoLC)777489523 |
| dewey-full | 621.36/7 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.36/7 |
| dewey-search | 621.36/7 |
| dewey-sort | 3621.36 17 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn777489523 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:15:54Z |
| institution | BVB |
| isbn | 9783110252569 3110252562 3110251922 9783110251920 1283400138 9781283400138 |
| language | English |
| oclc_num | 777489523 |
| open_access_boolean | |
| owner | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 online resource (1 online resource) |
| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | De Gruyter, |
| record_format | marc |
| series | De Gruyter studies in mathematical physics ; |
| series2 | De Gruyter studies in mathematical physics ; |
| spelling | Mironovskiĭ, L. A. (Leonid Alekseevich) http://id.loc.gov/authorities/names/n99033643 Strip-method for image and signal transformation / by Leonid A. Mironovsky, Valery A. Slaev. Berlin ; Boston : De Gruyter, 2011. 1 online resource (1 online resource) text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda De Gruyter studies in mathematical physics ; 1 Includes bibliographical references and index. This work deals with the matrix methods of continuous signal and image processing according to which strip-transformation is used. The authors suggest ways to solve a problem of evaluating potential noise immunity and synthesis of an optimal filter for the case of pulse noises, of applying the two-dimensional strip-transformation for storage and noise immune transmission of images. The strip-transformation of images is illustrated by examples and classes of images invariant relative to symmetrical orthogonal transformations. Print version record. Foreword; Introduction; 1 Strip-method of signal transformation; 1.1 Strip-method of linear pre-distortions and problems it solves; 1.2 Assurance of the transformed signal continuity; 1.3 Equalization of non-stationary signal variance; 1.4 Equalization of the "informative ability" of a non-stationary signal; 1.5 Narrowing of the pre-distorted signal frequency spectrum; 2 Optimal Chebyshev pre-distortion and filtration; 2.1 Preliminaries; 2.2 Problem statement; 2.3 Estimation of the potential noise immunity in case of single noise. 2.4 Estimation of the potential noise immunity in the case of multiple noises2.5 Synthesis of the optimal Chebyshev filter; 2.6 Quasioptimal pre-distortions; 2.7 Introduction of redundancy in the strip-method of linear pre-distortions; 2.7.1 Decreasing the noise power in a reconstructed signal; 2.7.2 Detection, localization, identification and correction of pulse noise; 2.7.3 Possibilities for applying the strip-method in steganography; 3 Strip-method of image transformation; 3.1 Two-dimensional strip-transformation; 3.2 Choice of optimal transformation matrices. 3.3 Examples of the strip-transformation of images3.4 Determination of critical multiplicity of noise; 3.5 Root images of the two-sided strip-transformation; 4 Hardware implementation of the strip-method; 4.1 Implementation of the strip-method with usage of magnetic recording -- reproducing instruments; 4.2 Implementation of the strip-method with a cyclic matrix; 4.3 The device for equalization of the signal variance; 4.4 Devices for introducing information redundancy; Conclusion; Appendix Hadamard matrices and the matrices close to them; A.1 Hadamard matrices; A.2 Shortened Hadamard matrices. A.3 Conference-matricesA. 4 Optimal matrices of the odd order (M-matrices); A.5 Algorithm for determining optimal matrices; A.6 Characteristics of optimal matrices; Bibliography; Index. Image processing Mathematics. Signal processing Mathematics. Finite strip method. http://id.loc.gov/authorities/subjects/sh85048357 Traitement d'images Mathématiques. Traitement du signal Mathématiques. Méthode des bandes finies. TECHNOLOGY & ENGINEERING Imaging Systems. bisacsh Finite strip method fast Image processing Mathematics fast Signal processing Mathematics fast Slaev, Valery A. has work: Strip-method for image and signal transformation (Text) https://id.oclc.org/worldcat/entity/E39PCFWpf7hcfgPx9rd4vCBrRq https://id.oclc.org/worldcat/ontology/hasWork Print version: 9783110251920 (DLC) 2011021425 De Gruyter studies in mathematical physics ; 1. http://id.loc.gov/authorities/names/no2012028823 |
| spellingShingle | Mironovskiĭ, L. A. (Leonid Alekseevich) Strip-method for image and signal transformation / De Gruyter studies in mathematical physics ; Foreword; Introduction; 1 Strip-method of signal transformation; 1.1 Strip-method of linear pre-distortions and problems it solves; 1.2 Assurance of the transformed signal continuity; 1.3 Equalization of non-stationary signal variance; 1.4 Equalization of the "informative ability" of a non-stationary signal; 1.5 Narrowing of the pre-distorted signal frequency spectrum; 2 Optimal Chebyshev pre-distortion and filtration; 2.1 Preliminaries; 2.2 Problem statement; 2.3 Estimation of the potential noise immunity in case of single noise. 2.4 Estimation of the potential noise immunity in the case of multiple noises2.5 Synthesis of the optimal Chebyshev filter; 2.6 Quasioptimal pre-distortions; 2.7 Introduction of redundancy in the strip-method of linear pre-distortions; 2.7.1 Decreasing the noise power in a reconstructed signal; 2.7.2 Detection, localization, identification and correction of pulse noise; 2.7.3 Possibilities for applying the strip-method in steganography; 3 Strip-method of image transformation; 3.1 Two-dimensional strip-transformation; 3.2 Choice of optimal transformation matrices. 3.3 Examples of the strip-transformation of images3.4 Determination of critical multiplicity of noise; 3.5 Root images of the two-sided strip-transformation; 4 Hardware implementation of the strip-method; 4.1 Implementation of the strip-method with usage of magnetic recording -- reproducing instruments; 4.2 Implementation of the strip-method with a cyclic matrix; 4.3 The device for equalization of the signal variance; 4.4 Devices for introducing information redundancy; Conclusion; Appendix Hadamard matrices and the matrices close to them; A.1 Hadamard matrices; A.2 Shortened Hadamard matrices. A.3 Conference-matricesA. 4 Optimal matrices of the odd order (M-matrices); A.5 Algorithm for determining optimal matrices; A.6 Characteristics of optimal matrices; Bibliography; Index. Image processing Mathematics. Signal processing Mathematics. Finite strip method. http://id.loc.gov/authorities/subjects/sh85048357 Traitement d'images Mathématiques. Traitement du signal Mathématiques. Méthode des bandes finies. TECHNOLOGY & ENGINEERING Imaging Systems. bisacsh Finite strip method fast Image processing Mathematics fast Signal processing Mathematics fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85048357 |
| title | Strip-method for image and signal transformation / |
| title_auth | Strip-method for image and signal transformation / |
| title_exact_search | Strip-method for image and signal transformation / |
| title_full | Strip-method for image and signal transformation / by Leonid A. Mironovsky, Valery A. Slaev. |
| title_fullStr | Strip-method for image and signal transformation / by Leonid A. Mironovsky, Valery A. Slaev. |
| title_full_unstemmed | Strip-method for image and signal transformation / by Leonid A. Mironovsky, Valery A. Slaev. |
| title_short | Strip-method for image and signal transformation / |
| title_sort | strip method for image and signal transformation |
| topic | Image processing Mathematics. Signal processing Mathematics. Finite strip method. http://id.loc.gov/authorities/subjects/sh85048357 Traitement d'images Mathématiques. Traitement du signal Mathématiques. Méthode des bandes finies. TECHNOLOGY & ENGINEERING Imaging Systems. bisacsh Finite strip method fast Image processing Mathematics fast Signal processing Mathematics fast |
| topic_facet | Image processing Mathematics. Signal processing Mathematics. Finite strip method. Traitement d'images Mathématiques. Traitement du signal Mathématiques. Méthode des bandes finies. TECHNOLOGY & ENGINEERING Imaging Systems. Finite strip method Image processing Mathematics Signal processing Mathematics |
| work_keys_str_mv | AT mironovskiila stripmethodforimageandsignaltransformation AT slaevvalerya stripmethodforimageandsignaltransformation |