| 書(shū)目名稱 | Foundations of Quantization for Probability Distributions |
| 編輯 | Siegfried Graf,Harald Luschgy |
| 視頻video | http://file.papertrans.cn/348/347098/347098.mp4 |
| 叢書(shū)名稱 | Lecture Notes in Mathematics |
| 圖書(shū)封面 |  |
| 描述 | Due to the rapidly increasing need for methods of data compression, quantization has become a flourishing field in signal and image processing and information theory. The same techniques are also used in statistics (cluster analysis), pattern recognition, and operations research (optimal location of service centers). The book gives the first mathematically rigorous account of the fundamental theory underlying these applications. The emphasis is on the asymptotics of quantization errors for absolutely continuous and special classes of singular probabilities (surface measures, self-similar measures) presenting some new results for the first time. Written for researchers and graduate students in probability theory the monograph is of potential interest to all people working in the disciplines mentioned above. |
| 出版日期 | Book 2000 |
| 關(guān)鍵詞 | Cluster analysis; Measure; Pattern Recognition; Probability distribution; Probability theory; data compre |
| 版次 | 1 |
| doi | https://doi.org/10.1007/BFb0103945 |
| isbn_softcover | 978-3-540-67394-1 |
| isbn_ebook | 978-3-540-45577-6Series ISSN 0075-8434 Series E-ISSN 1617-9692 |
| issn_series | 0075-8434 |
| copyright | Springer-Verlag Berlin Heidelberg 2000 |
|Archiver|手機(jī)版|小黑屋|
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