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Python Computer Science Python Computer Science Гайд про NAC (АЦЦ) Гайд про NAC (АЦЦ) Sign Language Processing: From Gesture to Meaning Sign Language Processing: From Gesture to Meaning Quantum Computing: Innovations and Applications in Modern Research Quantum Computing: Innovations and Applications in Modern Research Mathematical Introduction to Data Science Mathematical Introduction to Data Science Pro Spring Boot 3: An Authoritative Guide with Best Practices, 3rd Edition Pro Spring Boot 3: An Authoritative Guide with Best Practices, 3rd Edition Робочий зошит з хімії учня 7 класу Робочий зошит з хімії учня 7 класу Фізика. Зошит для лабораторних і контрольних робіт, 7 класс Фізика. Зошит для лабораторних і контрольних робіт, 7 класс Cryptography and Cryptanalysis in Java, 2nd Edition Cryptography and Cryptanalysis in Java, 2nd Edition Алгоритмы? Аха! Алгоритмы? Аха! Mastering Postman, Second Edition: Expert walkthrough to build end-to-end APIs including testing, integration and automation Mastering Postman, Second Edition: Expert walkthrough to build end-to-end APIs including testing, integration and automation Ultimate MLOps for Machine Learning Models Ultimate MLOps for Machine Learning Models The English Civil War: Myth, Legend and Popular Memory The English Civil War: Myth, Legend and Popular Memory Build: Elements of an Effective Software Organization Build: Elements of an Effective Software Organization An Untaken Road: Strategy, Technology, and the Hidden History of America’s Mobile ICBMs An Untaken Road: Strategy, Technology, and the Hidden History of America’s Mobile ICBMs China’s Quest for Great Power: Ships, Oil, and Foreign Policy China’s Quest for Great Power: Ships, Oil, and Foreign Policy
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Signal Processing and Machine Learning with Applications
Добавил: TRex / 1-10-2022, 10:40 /
Название: Signal Processing and Machine Learning with Applications
Автор: Michael M. Richter, Sheuli Paul, Veton Kepuska, Marius Silaghi
Издательство: Springer
Год: 2022
Формат: True PDF
Страниц: 626
Размер: 18 Mb
Язык: English

Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal processing languages we use to interpret real-world phenomena, model them, and extract useful information. This book presents different kinds of signals humans use and applies them for human machine interaction to communicate.







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