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John Lennon, Yoko Ono and the Year Canada Was Cool
John Lennon was the world's biggest rock star in the late Sixties. With his new wife Yoko Ono, the duo were icons of the peace movement denouncing the Vietnam War. In 1969, at the height of their popularity, they headed to Canada. Canada was already a politically charged place. In 1968, Pierre Elliott Trudeau rode a wave of popularity dubbed Trudeaumania for its similarities to the Beatlemania of the era. The sexual revolution, hippie culture, the New Left and the peace movement were challenging norms, frightening the authorities and provoking backlash. Quebec nationalism was putting the power of the English-speaking minority running the province on the defensive, and threatening the breakup...
Sparse Adaptive Filters for Echo Cancellation
Adaptive filters with a large number of coefficients are usually involved in both network and acoustic echo cancellation. Consequently, it is important to improve the convergence rate and tracking of the conventional algorithms used for these applications. This can be achieved by exploiting the sparseness character of the echo paths. Identification of sparse impulse responses was addressed mainly in the last decade with the development of the so-called ``proportionate''-type algorithms. The goal of this book is to present the most important sparse adaptive filters developed for echo cancellation. Besides a comprehensive review of the basic proportionate-type algorithms, we also present some ...
A Perspective on Stereophonic Acoustic Echo Cancellation
Single-channel hands-free teleconferencing systems are becoming popular. In order to enhance the communication quality of these systems, more and more stereophonic sound devices with two loudspeakers and two microphones are deployed. Because of the coupling between loudspeakers and microphones, there may be strong echoes, which make real-time communication very difficult. The best way we know to cancel these echoes is via a stereo acoustic echo canceller (SAEC), which can be modelled as a two-input/two-output system with real random variables. In this work, the authors recast this problem into a single-input/single-output system with complex random variables thanks to the widely linear model. From this new convenient formulation, they re-derive the most important aspects of a SAEC, including identification of the echo paths with adaptive filters, double-talk detection, and suppression.
Byzantine Art and Diplomacy in an Age of Decline
Questions how political decline refigures the visual culture of empire by examining the imperial image and the gift in later Byzantium (1261-1453). Provides a more nuanced account of medieval artistic cultural exchange that considers the temporal dimensions of power and the changing fates of empires.
The Lost World of Old Europe
In the prehistoric Copper Age, long before cities, writing, or the invention of the wheel, Old Europe was among the most culturally rich regions in the world. Its inhabitants lived in prosperous agricultural towns. The ubiquitous goddess figurines found in their houses and shrines have triggered intense debates about women's roles. The Lost World of Old Europe is the accompanying catalog for an exhibition at New York University's Institute for the Study of the Ancient World. This superb volume features essays by leading archaeologists as well as breathtaking color photographs cataloguing the objects, some illustrated here for the first time. The heart of Old Europe was in the lower Danube va...
Machine Learning
Machine Learning: A Bayesian and Optimization Perspective, 2nd edition, gives a unified perspective on machine learning by covering both pillars of supervised learning, namely regression and classification. The book starts with the basics, including mean square, least squares and maximum likelihood methods, ridge regression, Bayesian decision theory classification, logistic regression, and decision trees. It then progresses to more recent techniques, covering sparse modelling methods, learning in reproducing kernel Hilbert spaces and support vector machines, Bayesian inference with a focus on the EM algorithm and its approximate inference variational versions, Monte Carlo methods, probabilis...
Adaptive Signal Processing
For the first time, a reference on the most relevant applications of adaptive filtering techniques. Top researchers in the field contributed chapters addressing applications in acoustics, speech, wireless and networking, where research is still very active and open.
Petre Tutea
Petre Tutea (1902-91) was one of the outstanding Christian dissident intellectuals of the Communist era in Eastern Europe. Revered as a saint by some, he spent thirteen years as a prisoner of conscience and twenty-eight years under house arrest at the hands of the Securitate. This book explores his unique response to the horrors of torture and 're-education' and reveals the experience of a whole generation detained in the political prisons. Tutea’s understanding of human needs and how they can be fulfilled even amidst extreme adversity not only reflects huge learning and great brilliance of mind, but also offers a spiritual vision grounded in personal experience of the Romanian Gulag. Foll...
