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Engineering (R0) eBook Series

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  • Fundamentals of Linear Algebra for Signal Processing

    by James Reilly ...
    Series series Engineering (R0)
    Signal processing is ubiquitous in many fields of science and engineering. This textbook is tailored specifically for graduate students and presents linear algebra, which is requisite knowledge in these fields, in a form explicitly targeted to signal processing and related disciplines. Written by an experienced author with over 35 years of expertise in signal processing research and teaching, this ... Read more

    $98.09 USD

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  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    by Jay Dawani ...
    A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, ... Read more

    $27.89 USD or Free with Kobo Plus

  • Introduction to Data Compression

    by Khalid Sayood ...
    Series series The Morgan Kaufmann Series in Multimedia Information and Systems
    Introduction to Data Compression, Third Edition, is a concise and comprehensive guide to data compression. This book introduces the reader to the theory underlying today's compression techniques with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression, it covers lossless and lossy compression, Huffman coding, ... Read more

    $80.09 USD

  • A Wavelet Tour of Signal Processing

    The Sparse Way

    by Stephane Mallat ...
    Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford UniversityThe new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the ... Read more

    $96.29 USD

  • State Estimation for Robotics

    by Timothy D. Barfoot ...
    A key aspect of robotics today is estimating the state, such as position and orientation, of a robot as it moves through the world. Most robots and autonomous vehicles depend on noisy data from sensors such as cameras or laser rangefinders to navigate in a three-dimensional world. This book presents common sensor models and practical advice on how to carry out state estimation for rotations and ... Read more

    $96.79 USD

  • Math and Architectures of Deep Learning

    by Krishnendu Chaudhury ...
    Shine a spotlight into the deep learning “black box”. This comprehensive and detailed guide reveals the mathematical and architectural concepts behind deep learning models, so you can customize, maintain, and explain them more effectively.Inside Math and Architectures of Deep Learning you will find:Math, theory, and programming principles side by sideLinear algebra, vector calculus and ... Read more

    $68.99 USD

  • Data-Driven Modeling & Scientific Computation

    Methods for Complex Systems & Big Data

    by J. Nathan Kutz ...
    The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered in the sciences provide an incentive to develop mathematical techniques and computational algorithms that help synthesize, interpret and give meaning to the data in the context of its scientific ... Read more

    $48.59 USD

  • Discrete Fourier And Wavelet Transforms: An Introduction Through Linear Algebra With Applications To Signal Processing

    by Roe W Goodman ...
    This textbook for undergraduate mathematics, science, and engineering students introduces the theory and applications of discrete Fourier and wavelet transforms using elementary linear algebra, without assuming prior knowledge of signal processing or advanced analysis.It explains how to use the Fourier matrix to extract frequency information from a digital signal and how to use circulant matrices ... Read more

    $34.19 USD

  • Digital Signal and Image Processing using MATLAB, Volume 1

    Fundamentals

    by Maurice Charbit, Gérard Blanchet ...
    This fully revised and updated second edition presents the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications.More than 200 programs and functions are provided in the MATLAB language, with useful comments and guidance, to enable numerical ... Read more

    $167.00 USD

  • Principles of Digital Communication

    by Robert G. Gallager ...
    The renowned communications theorist Robert Gallager brings his lucid writing style to the study of the fundamental system aspects of digital communication for a one-semester course for graduate students. With the clarity and insight that have characterized his teaching and earlier textbooks, he develops a simple framework and then combines this with careful proofs to help the reader understand ... Read more

    $109.89 USD

  • Numerical Solution Of Ordinary And Partial Differential Equations, The (3rd Edition)

    by Granville Sewell ...
    This book presents methods for the computational solution of differential equations, both ordinary and partial, time-dependent and steady-state. Finite difference methods are introduced and analyzed in the first four chapters, and finite element methods are studied in chapter five. A very general-purpose and widely-used finite element program, PDE2D, which implements many of the methods studied in ... Read more

    $34.19 USD

  • Introduction to Optimum Design

    by Jasbir Singh Arora ...
    Optimization is a mathematical tool developed in the early 1960's used to find the most efficient and feasible solutions to an engineering problem. It can be used to find ideal shapes and physical configurations, ideal structural designs, maximum energy efficiency, and many other desired goals of engineering. This book is intended for use in a first course on engineering design and optimization. ... Read more

    $119.69 USD