The author has provided a shop window for some of the ideas, techniques and elegant results of Fourier analysis, and for their applications. These range from number theory, numerical analysis, control theory and statistics, to earth science, astronomy, and electrical engineering.
"With the ubiquitous presence of video data and its increasing importance in a wide range of real-world applications, it is becoming increasingly necessary to automatically analyze and interpret object motions from large quantities of footage. Machine Learning for Human Motion Analysis: Theory and Practice highlights the development of robust and effective vision-based motion understanding systems. This advanced publication addresses a broad audience including practicing professionals working with specific vision applications such as surveillance, sport event analysis, healthcare, video conferencing..."
A recent review of his work describes Wilfred Carr as 'one of the most brilliant philosophers now working in the rich British tradition of educational philosophy ... His work examines a number of fundamental issues with clarity and penetration'. In For Education Wilfred Carr provides a comprehensive justification for reconstructing educational theory and research as a form of critical inquiry. In doing this, he confronts a number of important philosophical questions. What is educational theory? What is an educational practice? How are theory and practice related?
Graduate-level text for science and technology students provides strong background in the more abstract and intellectually satisfying areas of dynamical theory. Topics include d’Alembert’s principle and the idea of virtual work, Hamilton’s equations, Hamilton-Jacobi theory, canonical transformations, more. Problems and references at chapter ends. 1977 edition.
This unique book provides a meaningful resource for applied mathematics through Fourier analysis. It develops a unified theory of discrete and continuous (univariate) Fourier analysis, the fast Fourier transform, and a powerful elementary theory of generalized functions and shows how these mathematical ideas can be used to study sampling theory, PDEs, probability, diffraction, musical tones, and wavelets. The book contains an unusually complete presentation of the Fourier transform calculus.
