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Free Engineering books

The McGraw-Hill Dictionary of Engineering
Derived from the world-renowned McGraw-Hill Dictionary of Scientific and Technical Terms, Sixth Edition, this vital reference offers a wealth of essential information in a convenient, quick-find format. Whether you're a professional, a student, a writer, or a general reader with an interest in science, there is no better or more authoritative way to stay up-to-speed with the current language of the various branches of engineering or gain an understanding of their key ideas and concepts.
The Scientist and Engineer's Guide to Digital Signal Processing
Clear and concise explanations of practical DSP techniques. Written for scientists and engineers needing the power of DSP, but not the abstract theory and detailed mathematics.
Adaptive Control: Stability, Convergence, and Robustness
Adaptive Control: Stability, Convergence, and Robustness by Shankar Sastry and Marc Bodson is available in pdf format.
High-Fidelity Multichannel Audio Coding
This book includes three parts. The first part covers the basic topics on audio compression, such as quantization, entropy coding, psychoacoustic model, and sound quality assessment. The second part of the book highlights the current most prevalent low-bit-rate high-performance audio coding standards-MPEG-4 audio. The third part of this book introduces several innovate multichannel audio coding tools, which have been demonstrated to further improve the coding performance and expand the available functionalities of MPEG AAC, and is more suitable for graduate students and researchers in the advanced level.
Genomic Signal Processing and Statistics
The book aims to address current genomic challenges by exploiting potential synergies between genomics, signal processing, and statistics, with special emphasis on signal processing and statistical tools for structural and functional understanding of genomic data. The first part of this book provides a brief history of genomic research and a background introduction from both biological and signal-processing/statistical perspectives.



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