Machine Vision
相關熱銷的書籍推薦給您
This book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing algorithms. The authors begin with a review of mathematical principles and go on to discuss key issues in image processing such as the description and characterization of images, edge detection, restoration and feature extraction, segmentation, texture and shape. They also discuss image matching, statistical pattern recognition, clustering, and syntactic pattern recognition. Important applications are described, including optical character recognition and automatic target recognition. A CD-ROM containing software and data used in the book is included. The book is aimed at graduate students in electrical engineering, computer science, and mathematics. It will also be a useful reference for practitioners.
立即查看
ADVANCES IN QUANTUM COMPUTER MUSIC (1版)
類似書籍推薦給您
The modern music industry depends critically on computers. The development of conventional digital computing technology for music has been progressing in tandem with the evolution of computers since the 1950s. Therefore, future developments in quantum computing are most likely to impact the way in which musicians will create, perform, and conduct research.
Classical computers manipulate information represented in terms of binary digits, each of, which can be equal to 1 (on) or 0 (off). They work with microprocessors made up of billions of tiny switches that are activated by electric signals. In contrast, a quantum computer deals with information in terms of quantum bits (qubits), which can operate at the subatomic level. In other words, they directly work in the realm of quantum physics. Since they can run algorithms that are non-tractable to run on digital computers, quantum computers are surfacing as a promising disruptive technology.
Advances in Quantum Computer Music collates a comprehensive collection of chapters by pioneers of emerging interdisciplinary research at the crossroads of quantum computing and music. Together, these pioneers hope to anticipate and prototype the unprecedented new uses for this technology that are bound to emerge from their cutting-edge research.
Sample Chapter(s)
Foreword
Chapter 1: Sonifications of Quantum Superpositions: Methods and Musical Applications
Contents:
Sonifications of Quantum Superpositions: Methods and Musical Applications (Walker Smith, Dmitri Volkov and Alex Alani)
Quantum Feedback Delay Networks (Davide Rocchesso)
Exploring Quantum Phenomena through Sound: Strategies, Challenges, and Insights (Reiko Yamada, Eloy Piñol, Samuele Grandi, Jakub Zakrzewski and Maciej Lewenstein)
Quantum Memory: Measuring the Degree of Non-Markovianity of Orchestral Music (Maria Mannone and Omar Costa Hamido)
An Introduction to Quantum Probability Amplitude Modulation (QPAM) from a Compositional Perspective (Eren Utku)
Investigating the usefulness of Quantum Blur in Music (Marcel Pfaffhauser and James Wootton)
Qubit Instrumentation of Entanglement (Mark Carney)
Developing a Framework for Sonifying Variational Quantum Algorithms: Implications for Music Composition (Paulo Vitor Itaboraí, Peter Thomas, Arianna Crippa, Karl Jansen, Tim Schwägerl and María Aguado Yáñez)
Music AI with Quantum Reservoir Computing (Eduardo Reck Miranda and Hari Vignesh Shaji)
Readership: Academic community and researchers in the field of Unconventional Computing, specifically Quantum Computing, musicians interested and/or working with Music Technology, and students and science journalists interested in arts-science topics.
立即查看
華通書坊
