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Richard W. Hamming

    11 février 1915 – 7 janvier 1998

    Richard Wesley Hamming était un mathématicien dont le travail a eu de profondes implications pour l'informatique et les télécommunications. Ses recherches ont introduit des concepts fondamentaux tels que le code de Hamming et la distance de Hamming, devenus cruciaux pour la détection et la correction d'erreurs dans les données numériques. La philosophie de Hamming sur le calcul mettait l'accent sur la recherche de la compréhension plutôt que sur de simples résultats numériques. Son héritage continue de façonner le paysage numérique.

    Information und Codierung
    Digitale Filter
    Digital Filters
    Numerical Methods for Scientists and Engineers
    The Art of Doing Science and Engineering: Learning to Learn
    • Highly effective thinking is an art that engineers and scientists can be taught to develop. By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned

      The Art of Doing Science and Engineering: Learning to Learn
    • For this inexpensive paperback edition of a groundbreaking classic, the author has extensively rearranged, rewritten, and enlarged the material. Book is unique in its emphasis on the frequency approach and its use in the solution of problems. Contents include: Fundamentals and Algorithms; Polynomial Approximation — Classical Theory; Fourier Approximation — Modern Theory; and Exponential Approximation.

      Numerical Methods for Scientists and Engineers
    • Digital signals occur in an increasing number of in telephone communications; in radio, television, and stereo sound systems; and in spacecraft transmissions, to name just a few. This introductory text examines digital filtering, the processes of smoothing, predicting, differentiating, integrating, and separating signals, as well as the removal of noise from a signal. The processes bear particular relevance to computer applications, one of the focuses of this book.Readers will find Hamming's analysis accessible and engaging, in recognition of the fact that many people with the strongest need for an understanding of digital filtering do not have a strong background in mathematics or electrical engineering. Thus, this book assumes only a knowledge of calculus and a smattering of statistics (reviewed in the text). Adopting the simplest, most direct mathematical tools, the author concentrates on linear signal processing; the main exceptions are the examination of round-off effects and a brief mention of Kalman filters.This updated edition includes more material on the z-transform as well as additional examples and exercises for further reinforcement of each chapter's content. The result is an accessible, highly useful resource for the broad range of people working in the field of digital signal processing.

      Digital Filters