Digital Signal Processing and Parallel Algorithms

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication.Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but in terms of artificial communication.To do this, we need a concept of communication that can take into account the possibility that a communication partner may be not a human being but an al

Created in 1985 by Barry Vercoe, Csound is one of the most widely used software sound synthesis systems. Because it is so powerful, mastering Csound can take a good deal of time and effort. But this

A collection of articles originally intended for use in a graduate course. This collection of papers is the result of a desire to make available reprints of articles on digital signal processing for

An exploration of how heteronormative bias is deeply embedded in the internet, hidden in algorithms, keywords, content moderation, and more.In The Digital Closet, Alexander Monea argues provocatively that the Internet became straight by suppressing everything that is not, forcing LGBTQ+ content into increasingly narrow channels―rendering it invisible through opaque algorithms, automated and human content moderation, warped keywords, and other strategies of digital overreach. Monea explains how the United States’ thirty-year “war on porn” has brought about the over-regulation of sexual content, which, in turn, has resulted in the censorship of much nonpornographic content―including material on sex education and LGBTQ+ activism. In this wide-ranging, enlightening account, Monea examines the cultural, technological, and political conditions that put LGBTQ content into the closet. Monea looks at the anti-porn activism of the alt-right, Christian conservatives, and anti-porn feminists, who

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learnin

Parallel Algorithms for Regular Architectures is the first book to concentrate exclusively on algorithms and paradigms for programming parallel computers such as the hypercube, mesh, pyramid, and mesh

Parallel-Algorithms for Regular Architectures is the first book to concentrate exclusively on algorithms and paradigms for programming parallel computers such as the hypercube, mesh, pyramid, and mesh

Signal processing and neural computation have separately and significantly influencedmany disciplines, but the cross-fertilization of the two fields has begun only recently. Researchnow shows that eac

What matters in understanding digital media? Is looking at the external appearanceand audience experience of software enough--or should we look further? In ExpressiveProcessing, Noah Wardrip-Fruin ar

What matters in understanding digital media? Is looking at the external appearance and audience experience of software enough—or should we look further? In Expressive Processing, Noah Wardrip-F

The entanglements of people and data, code and space, knowledge and power: how data and algorithms shape the world―and shape us within that world.With the emergence of a post-truth world, we have witnessed the dissolution of the common ground on which truth claims were negotiated, individual agency enacted, and public spheres shaped. What happens when, as Nietzsche claimed, there are no facts, but only interpretations? In this book, Mark Shepard examines the entanglements of people and data, code and space, knowledge and power that have produced an uncommon ground―a disaggregated public sphere where the extraction of behavioral data and their subsequent processing and sale have led to the emergence of micropublics of ever-finer granularity. Shepard explores how these new post-truth territories are propagated through machine learning systems and social networks, which shape the public and private spaces of everyday life. He traces the balkanization and proliferation of online news and t

A meticulously created facsimile edition of a classic work on design by the progenitor of today’s information design.Long before the internet and its vast stores of information in digital form, information in analog form needed to be organized so that it was legible and accessible. One designer who revolutionized the presentation of printed information was modernist pioneer Ladislav Sutnar (1897–1976). In 1950, Sutnar and architect K. Lonberg-Holm published Catalog Design Progress, a guide to modernizing the design of printed materials through typographic simplicity, compositional ingenuity, and navigational devices that signal the logical flow of information. This meticulously created facsimile of the original book illustrates and enacts Sutnar’s ideas, making clear their continuing influence on graphic design. In the book, Sutnar contrasts his design style with the conglomeration of text and pictures that characterized earlier printed material. He identifies and illustrates visual fe

In Decoding the Social World, Sandra González-Bailón shows how algorithms, crowdsourcing, and digital traces offer methods and data that can help us solve the puzzle of unintended consequences -- a s

This comprehensive handbook of mathematical and programming techniques for audio signal processing will be an essential reference for all computer musicians, computer scientists, engineers, and anyon

A comprehensive text and reference that covers all aspects of computer music, including digital audio, synthesis techniques, signal processing, musical input devices, performance software, editing sy

Although there has been a tremendous growth of interest in parallel architecture and parallel processing in recent years, comparatively little work has been done on the problem of characterizing paral

The development of parallel processing, with the attendant technology of advanced software engineering, VLSI circuits, and artificial intelligence, now allows high-performance computer systems to reac

Fifteen original contributions from experts in high-speed computation on multi-processor architectures, concurrent programming and parallel algorithms. Experts in high-speed computation agree that the

Applied state estimation and association is an important area for practicing engineers in aerospace, electronics, and defense industries, used in such tasks as signal processing, tracking, and navigat

Sparse modeling is a rapidly developing area at the intersection of statisticallearning and signal processing, motivated by the age-old statistical problem of selecting a smallnumber of predictive var

McClelland and Rumelhart's Parallel Distributed Processing was the first book to present a definitive account of the newly revived connectionist/neural net paradigm for artificial intelligence and cog

This book describes a fundamentally new theoretical framework for finding poor algorithms in an application program and replacing them with ones that parallelize the code. Parallel computation will

This is a comprehensive text and reference that covers all aspects of computer music, including digital audio, synthesis techniques, signal processing, musical input devices, performance software, edi

Fourteen articles by different authors describe digital audio and computer music systems made possible by advances in digital signal processing theory, hardware design, and programming techniques. The

McClelland and Rumelhart's "Parallel Distributed Processing "was the first book to present a definitive account of the newly revived connectionist/neural net paradigm for artificial intelligence and c

"The Connection Machine "describes a fundamentally different kind of computer. It offers a preview of a parallel processing computer that Daniel Hillis and others are now developing to perform tasks t