Mathematical Methods and Algorithms for Signal Processing(Paperback) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Methods and Algorithms for Signal Processing(Paperback) write by Moon. This book was released on 2000-01-01. Mathematical Methods and Algorithms for Signal Processing(Paperback) available in PDF, EPUB and Kindle.
Mathematical Methods and Algorithms for Signal Processing
Mathematical Methods and Algorithms for Signal Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Methods and Algorithms for Signal Processing write by Todd K. Moon. This book was released on 2000. Mathematical Methods and Algorithms for Signal Processing available in PDF, EPUB and Kindle. This previously included a CD. The CD contents can be accessed via World Wide Web.
Error Correction Coding
Error Correction Coding - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Error Correction Coding write by Todd K. Moon. This book was released on 2005-06-06. Error Correction Coding available in PDF, EPUB and Kindle. An unparalleled learning tool and guide to error correction coding Error correction coding techniques allow the detection and correction of errors occurring during the transmission of data in digital communication systems. These techniques are nearly universally employed in modern communication systems, and are thus an important component of the modern information economy. Error Correction Coding: Mathematical Methods and Algorithms provides a comprehensive introduction to both the theoretical and practical aspects of error correction coding, with a presentation suitable for a wide variety of audiences, including graduate students in electrical engineering, mathematics, or computer science. The pedagogy is arranged so that the mathematical concepts are presented incrementally, followed immediately by applications to coding. A large number of exercises expand and deepen students' understanding. A unique feature of the book is a set of programming laboratories, supplemented with over 250 programs and functions on an associated Web site, which provides hands-on experience and a better understanding of the material. These laboratories lead students through the implementation and evaluation of Hamming codes, CRC codes, BCH and R-S codes, convolutional codes, turbo codes, and LDPC codes. This text offers both "classical" coding theory-such as Hamming, BCH, Reed-Solomon, Reed-Muller, and convolutional codes-as well as modern codes and decoding methods, including turbo codes, LDPC codes, repeat-accumulate codes, space time codes, factor graphs, soft-decision decoding, Guruswami-Sudan decoding, EXIT charts, and iterative decoding. Theoretical complements on performance and bounds are presented. Coding is also put into its communications and information theoretic context and connections are drawn to public key cryptosystems. Ideal as a classroom resource and a professional reference, this thorough guide will benefit electrical and computer engineers, mathematicians, students, researchers, and scientists.
Fast Algorithms for Signal Processing
Fast Algorithms for Signal Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fast Algorithms for Signal Processing write by Richard E. Blahut. This book was released on 2010-06-24. Fast Algorithms for Signal Processing available in PDF, EPUB and Kindle. Efficient signal processing algorithms are important for embedded and power-limited applications since, by reducing the number of computations, power consumption can be reduced significantly. Similarly, efficient algorithms are also critical to very large scale applications such as video processing and four-dimensional medical imaging. This self-contained guide, the only one of its kind, enables engineers to find the optimum fast algorithm for a specific application. It presents a broad range of computationally-efficient algorithms, describes their structure and implementation, and compares their relative strengths for given problems. All the necessary background mathematics is included and theorems are rigorously proved, so all the information needed to learn and apply the techniques is provided in one convenient guide. With this practical reference, researchers and practitioners in electrical engineering, applied mathematics, and computer science can reduce power dissipation for low-end applications of signal processing, and extend the reach of high-end applications.
Machine Learning for Signal Processing
Machine Learning for Signal Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning for Signal Processing write by Max A. Little. This book was released on 2019. Machine Learning for Signal Processing available in PDF, EPUB and Kindle. Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.
