• Au Maroc, le chef de la DGST est sur le départ. Son remplaçant potentiel inquiète les alliés. La CIA et le Mossad lui reprochent son nationalisme et son indépendance. Ils décident de s'en débarasser, en le discréditant. Sur fond d'actualité brûlante -islamisation rampante, trafics, attentats- le Mossad aura recours au Bnaï Brit (Maçonnerie juive internationale) de Paris pour infiltrer ses agents spéciaux à Casablanca.

  • "LE PRINTEMPS DES SAYANIM" a révélé de façon prémonitoire l'influence prépondérante, et en particulier ses moyens d'action et de pénétration, d'une certaine communauté juive organisée et liée à Israël, pour renforcer l'alliance avec ce pays, et délégitimer toute forme de critique à l'encontre des politiques sionistes, en les faisant passer pour de l'antisémitisme.

  • Latifa appartient au clan des S., ces Fassis partis à Casablanca chercher fortune. Ses parents sont restés traditionnels, forcément modestes. Belle, jeune pure, le cousin milliardaire la veut pour femme. Les pauvres ne peuvent rien refuser aux riches. Latifa raconte son itinéraire. A seize ans, habillée pour plaire, les yeux baissés, soumise à examen, dans une villa somptueuse, autour du thé. Mais il y a une envie de liberté, impérieuse, totale. Commence alors son combat pour échapper à un esclavage doré.

  • On a inventé les accords d'Oslo en 1993 pour accorder aux Palestiniens un semblant d'État, une espèce de Bantoustan sous la stricte surveillance de l'occupant sioniste. La zone industrielle de Bethléem, lancée conjointement en 2009 par la France et Israël, deux alliés indéfectibles, avait pour objectif d'alléger les souffrances économiques des Palestiniens, et ainsi renvoyer aux calendes grecques la création d'un véritable État palestinien. C'est l'objet de ce roman.

  • A comprehensive guide to the theory and practice of signal enhancement and array signal processing, including matlab codes, exercises and instructor and solution manuals   Systematically introduces the fundamental principles, theory and applications of signal enhancement and array signal processing in an accessible manner Offers an updated and relevant treatment of array signal processing with rigor and concision Features a companion website that includes presentation files with lecture notes, homework exercises, course projects, solution manuals, instructor manuals, and Matlab codes for the examples in the book

  • This book focuses on the application of canonical correlation analysis (CCA) to speech enhancement using the filtering approach. The authors explain how to derive different classes of time-domain and time-frequency-domain noise reduction filters, which are optimal from the CCA perspective for both single-channel and multichannel speech enhancement. Enhancement of noisy speech has been a challenging problem for many researchers over the past few decades and remains an active research area. Typically, speech enhancement algorithms operate in the short-time Fourier transform (STFT) domain, where the clean speech spectral coefficients are estimated using a multiplicative gain function. A filtering approach, which can be performed in the time domain or in the subband domain, obtains an estimate of the clean speech sample at every time instant or time-frequency bin by applying a filtering vector to the noisy speech vector. Compared to the multiplicative gain approach, the filtering approach more naturally takes into account the correlation of the speech signal in adjacent time frames. In this study, the authors pursue the filtering approach and show how to apply CCA to the speech enhancement problem. They also address the problem of adaptive beamforming from the CCA perspective, and show that the well-known Wiener and minimum variance distortionless response (MVDR) beamformers are particular cases of a general class of CCA-based adaptive beamformers.

  • The focus of this book is on array processing and beamforming with Kronecker products. It considers a large family of sensor arrays that allow the steering vector to be decomposed as a Kronecker product of two steering vectors of smaller virtual arrays. Instead of directly designing a global beamformer for the original array, once the steering vector has been decomposed, smaller virtual beamformers are designed and separately optimized for each virtual array. This means the matrices that need to be inverted are smaller, which increases the robustness of the beamformers, and reduces the size of the observations.

    The book explains how to perform beamforming with Kronecker product filters using an unconventional approach. It shows how the Kronecker product formulation can be used to derive fixed, adaptive, and differential beamformers with remarkable flexibility. Furthermore, it demonstrates how fixed and adaptive beamformers can be intelligently combined, optimally exploiting the advantages of both. The problem of spatiotemporal signal enhancement is also addressed, and readers will learn how to perform Kronecker product filtering in this context.

  • This book studies the link between differential beamforming and differential equations which in turn enables the study of fundamental theory and methods of beamforming from a different perspective, leading to new insights into the problem and new methods to solve the problem. The book first presents a brief overview of the problems and methods for beamforming and some performance measures popularly used either to evaluate beamformers or to derive optimal beamformers. Then, first-order, second-order, and general high-order linear difference equations are discussed, based on which the authors show how to formulate the beamforming problem and derive different beamforming methods, including fixed and adaptive ones. Furthermore, the authors show how to apply the theory of difference equations to the general problem of speech enhancement, and deduce a number of noise reduction filters, including the maximum SNR filter, the Wiener filter, the MVDR filter, etc. Also covered in the book are the difference equations and differential beamforming from the spectral graph perspective.Presents basic concepts, fundamental principles, and methods for beamforming from the perspective of linear difference equations;Provides formulation and methods of conventional beamforming, and first-order, second-order, and general high-order linear difference equations for beamforming;Includes the applications of linear difference equations to the problem of noise reduction;Explains beamforming based on difference equations with graphs.

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