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1. |
Record Nr. |
UNINA9910463361503321 |
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Autore |
Fromm Erich |
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Titolo |
Art of loving / / Erich Fromm ; cover design by Angela Goddard |
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Pubbl/distr/stampa |
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New York, New York : , : Open Road Integrated Media, , 1956 |
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©1956 |
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ISBN |
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Descrizione fisica |
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1 online resource (133 p.) |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Sommario/riassunto |
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The international bestseller that launched a movement with its powerful insight: ';Love is the only sane and satisfactory answer to the problem of human existence.'The Art of Loving is a rich and detailed guide to lovean achievement reached through maturity, practice, concentration, and courage. In the decades since the book's release, its words and lessons continue to resonate. Erich Fromm, a celebrated psychoanalyst and social psychologist, clearly and sincerely encourages the development of our capacity for and understanding of love in all of its facets. He discusses the familiar yet misunderstood romantic love, the all-encompassing brotherly love, spiritual love, and many more. A challenge to traditional Western notions of love, The Art of Loving is a modern classic about taking care of ourselves through relationships with others.This ebook features an illustrated biography of Erich Fromm including rare images and never-before-seen documents from the author's estate. |
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2. |
Record Nr. |
UNINA9910337617203321 |
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Autore |
Dhar Pranab Kumar |
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Titolo |
Advances in Audio Watermarking Based on Matrix Decomposition / / by Pranab Kumar Dhar, Tetsuya Shimamura |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (62 pages) |
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Collana |
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SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, , 2191-737X |
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Disciplina |
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Soggetti |
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Signal processing |
Image processing |
Speech processing systems |
Computational linguistics |
Algorithms |
Signal, Image and Speech Processing |
Computational Linguistics |
Algorithm Analysis and Problem Complexity |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter1: Introduction -- Chapter2: LWT-Based Audio Watermarking Using FWHT and SVD -- Chapter3: Audio Watermarking Based on LWT and QRD -- Chapter4: Audio Watermarking Based on FWHT and LUD -- Chapter5: Audio Watermarking Based on LWT and SD -- Chapter6: Conclusions and Future Work. |
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Sommario/riassunto |
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This book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection. Chapter 1 discusses the application and properties of digital watermarking. Chapter 2 proposes a blind lifting wavelet transform (LWT) based watermarking method using fast Walsh Hadamard transform (FWHT) and singular value decomposition (SVD) for audio copyright protection. Chapter 3 presents a blind audio watermarking |
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method based on LWT and QR decomposition (QRD) for audio copyright protection. Chapter 4 introduces an audio watermarking algorithm based on FWHT and LU decomposition (LUD). Chapter 5 proposes an audio watermarking method based on LWT and Schur decomposition (SD). Chapter 6 explains in details on the challenges and future trends of audio watermarking in various application areas. Introduces audio watermarking methods for copyright protection and ownership protection; Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imperceptibility, robustness, and data payload; Discusses in details on the challenges and future research direction of audio watermarking in various application areas. |
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