📖 The Scoop
'A First Course in Statistics for Signal Analysis' is a small, dense, and inexpensive book that covers exactly what the title says: statistics for signal analysis. The book has much to recommend it. The author clearly understands the topics presented. The topics are covered in a rigorous manner, but not so rigorous as to be ostentatious. The sequence of topics is clearly targeted at the spectral properties of Gaussian stationary signals. Any student studying traditional communications and signal processing would benefit from an understanding of these topics...In summary, [the work] has much in its favor...This book is most appropriate for a graduate class in signal analysis. It also could be used as a secondary text in a statistics, signal processing, or communications class.
—JASA/b” (Review of the First Edition)
This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, explained in a concise, yet fairly rigorous presentation.Topics and Features:
Fourier series and transforms—fundamentally important in random signal analysis and processing—are developed from scratch, emphasizing the time-domain vs. frequency-domain duality;
Basic concepts of probability theory, laws of large numbers, the central limit theorem, and statistical parametric inference procedures are presented so that no prior knowledge of probability and statistics is required; the only prerequisite is a basic two–three semester calculus sequence;
Computer simulation algorithms of stationary random signals with a given power spectrum density;
Complementary bibliography for readers who wish to pursue the study of random signals in greater depth;
Many diverse examples and end-of-chapter problems and exercises.
New to the Second Edition:
Revised notation and terminology to better reflect the concepts under discussion;
Many redrawn figures to better illustrate the scale of the quantities represented;
Considerably expanded sections with new examples, illustrations, and commentary;
Addition of more applied exercises;
A large appendix containing solutions of selected problems from each of the nine chapters.
Developed by the author over the course of many years of classroom use, A First Course in Statistics for Signal Analysis, Second Edition may be used by junior/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences. The work is also an excellent resource of educational and training material for scientists and engineers working in research laboratories.
Genre: Mathematics / Probability & Statistics / General (fancy, right?)
🤖Next read AI recommendation
Greetings, bookworm! I'm Robo Ratel, your AI librarian extraordinaire, ready to uncover literary treasures after your journey through "A First Course in Statistics for Signal Analysis" by Wojbor Woyczynski! 📚✨
Eureka! I've unearthed some literary gems just for you! Scroll down to discover your next favorite read. Happy book hunting! 📖😊
Reading Playlist for A First Course in Statistics for Signal Analysis
Enhance your reading experience with our curated music playlist. It's like a soundtrack for your book adventure! 🎵📚
🎶 A Note About Our Spotify Integration
Hey book lovers! We're working on bringing you the full power of Spotify integration. 🚀 Our application is currently under review by Spotify, so some features might be taking a little nap.
Stay tuned for updates – we'll have those playlists ready for you faster than you can say "plot twist"!
🎲AI Book Insights
Curious about "A First Course in Statistics for Signal Analysis" by Wojbor Woyczynski? Let our AI librarian give you personalized insights! 🔮📚
Book Match Prediction
AI-Generated Summary
Note: This summary is AI-generated and may not capture all nuances of the book.
