Random Signals and Noise - A Mathematical Introduction

Informationen zum Autor Shlomo Engelberg Klappentext Rxx( Zusammenfassung Understanding the nature of random signals and noise is important for detecting signals and for reducing and minimizing the effects of noise in applications such as communications and control systems. Outlining a variety of techniques and explaining when and how to use them, this book focuses on applications and practical problem solving. Inhaltsverzeichnis Elementary Probability Theory. An Introduction to Stochastic Processes. The Weak Law of Large Numbers. The Central Limit Theorem. Extrema and the Method of Lagrange Multipliers. The Matched Filter for Stationary Noise. Fourier Series and Transforms. The Wiener-Khinchin Theorem and Applications. Spread Spectrum. More about the Autocorrelation and the PSD. Wiener Filters. Appendix: A Brief Overview of Linear Algebra. Bibliography. Index.

Sommario

Elementary Probability Theory. An Introduction to Stochastic Processes. The Weak Law of Large Numbers. The Central Limit Theorem. Extrema and the Method of Lagrange Multipliers. The Matched Filter for Stationary Noise. Fourier Series and Transforms. The Wiener-Khinchin Theorem and Applications. Spread Spectrum. More about the Autocorrelation and the PSD. Wiener Filters. Appendix: A Brief Overview of Linear Algebra. Bibliography. Index.

Dettagli sul prodotto

• Autori: Shlomo Engelberg, Shlomo (Jerusalem College of Technology Engelberg, Engelberg Shlomo
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 11.10.2006
• EAN: 9780849375545
• ISBN: 978-0-8493-7554-5
• Pagine: 216
• Categorie: Saggistica > Natura, tecnica > Astronomia: tematiche generali, opere di consultazione; Scienze naturali, medicina, informatica, tecnica > Fisica, astronomia; TECHNOLOGY & ENGINEERING / Electrical, Mathematics, TECHNOLOGY & ENGINEERING / Sensors, Electrical Engineering, environmental science, engineering & technology, Communications engineering / telecommunications, Environmental science, engineering and technology, Instruments & instrumentation engineering, Instruments and instrumentation