Compartir
Sound Synthesis, Propagation, and Rendering (en Inglés)
Liu Shiguang
(Autor)
·
Manocha Dinesh
(Autor)
·
Springer
· Tapa Blanda
Sound Synthesis, Propagation, and Rendering (en Inglés) - Shiguang, Liu ; Dinesh, Manocha
$ 99.75
$ 153.46
Ahorras: $ 53.71
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Lunes 15 de Julio y el
Miércoles 24 de Julio.
Lo recibirás en cualquier lugar de Ecuador entre 1 y 3 días hábiles luego del envío.
Reseña del libro "Sound Synthesis, Propagation, and Rendering (en Inglés)"
This book gives a broad overview of research on sound simulation driven by a variety of applications. Vibrating objects produce sound, which then propagates through a medium such as air or water before finally being heard by a listener. As a crucial sensory channel, sound plays a vital role in many applications. There is a well-established research community in acoustics that has studied the problems related to sound simulation for six decades. Some of the earliest work was motivated by the design of concert halls, theaters, or lecture rooms with good acoustic characteristics. These problems also have been investigated in other applications, including noise control and sound design for urban planning, building construction, and automotive applications. Moreover, plausible or realistic sound effects can improve the sense of presence in a virtual environment or a game. In these applications, sound can provide important clues such as source directionality and spatial size. The book first surveys various sound synthesis methods, including harmonic synthesis, texture synthesis, spectral analysis, and physics-based synthesis. Next, it provides an overview of sound propagation techniques, including wave-based methods, geometric-based methods, and hybrid methods. The book also summarizes various techniques for sound rendering. Finally, it surveys some recent trends, including the use of machine learning methods to accelerate sound simulation and the use of sound simulation techniques for other applications such as speech recognition, source localization, and computer-aided design.
