Statistical signal processing: detection, estimation, and time series analysis

✍ Scribed by Louis Scharf

Publisher: Addison-Wesley Pub. Co
Year: 1991
Tongue: English
Leaves: 544
Series: Addison-Wesley series in electrical and computer engineering. Digital signal processing
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book is very comprehensive, covering all essential topics in signal detection, all down to the bottom. However, it requires a very high level of mathematical maturity and understanding as all derivations are pretty jumpy with slight notational abuses.

📜 SIMILAR VOLUMES

Statistical Signal Processing: Modelling

📁 Statistical Signal Processing: Modelling and Estimation

✍ Dr Thierry Chonavel PhD (auth.) 📂 Library 📅 2002 🏛 Springer-Verlag London 🌐 English

Modern information systems must handle huge amounts of data having varied natural or technological origins. Automated processing of these increasing signal loads requires the training of specialists capable of formalising the problems encountered. This book supplies a formalised, concise presenta

Time-Frequency Analysis and Synthesis of

📁 Time-Frequency Analysis and Synthesis of Linear Signal Spaces: Time-Frequency Filters, Signal Detection and Estimation, and Range-Doppler Estimation

✍ Franz Hlawatsch (auth.) 📂 Library 📅 1998 🏛 Springer US 🌐 English

Linear signal spaces are of fundamental importance in signal and system theory, communication theory, and modern signal processing. This book proposes a time-frequency analysis of linear signal spaces that is based on two novel time-frequency representations called the `Wigner distribution

Random Signals: Detection, Estimation an

📁 Random Signals: Detection, Estimation and Data Analysis

✍ K. Sam Shanmugan, Arthur M. Breipohl 📂 Library 📅 1988 🏛 Wiley 🌐 English

Random Signals, Noise and Filtering develops the theory of random processes and its application to the study of systems and analysis of random data. The text covers three important areas: (1) fundamentals and examples of random process models, (2) applications of probabilistic models: signal detecti

Statistical and Adaptive Signal Processi

📁 Statistical and Adaptive Signal Processing - Spectral Estimation Signal Modeling

✍ Dimitris G. Manolakis, Dimitris Manolakis, Vinay K. Ingle, Stephen M. Kogon 📂 Library 📅 2005 🏛 Artech House Publishers 🌐 English

This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resourc

Statistical Signal Processing: Frequency

📁 Statistical Signal Processing: Frequency Estimation

✍ Debasis Kundu, Swagata Nandi (auth.) 📂 Library 📅 2012 🏛 Springer India 🌐 English

Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or intentional interferences. Due to the random nature of the signal, statistical techniques play an importan

Statistical Signal Processing: Frequency

📁 Statistical Signal Processing: Frequency Estimation

✍ Swagata Nandi, Debasis Kundu 📂 Library 📅 2020 🏛 Springer Singapore;Springer 🌐 English

This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved. Signal processing can broadly be considered to be the recovery of information from physical observations. The received