Bayesian Signal Processing —— Classical, Modern, and Particle Filtering Methods

Name: Bayesian Signal Processing
Rating: 4.29
ISBN: 9781119125457

----- 贝叶斯信号处理：古典、现代、与颗粒过滤方法第2版

ISBN: 9781119125457 出版年：2016 页码：637 James V Candy Wiley

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内容简介

Bayesian-based signal processing is expected to dominate the future of model-based signal processing for years to come. This book develops the "Bayesian approach" to statistical signal processing for a variety of useful model sets with an emphasis on nonlinear/non-Gaussian problems, as well as classical techniques. Current applications and simple examples motivate the models and prepare the reader for developments in subsequent chapters. Although designed primarily as a graduate textbook, Bayesian Signal Processing is also useful to signal processing professionals and scientists.

Amazon评论

P. Billings

Examples are tough to follow, glossing over various details that lead one to wonder if errors may be present. I was looking for further depth about Unscented Kalman filtering, but came away empty. Lack of definitions (e.g., the number of sigma points is never explicitly defined) makes it very difficult to follow. (Could be I'm simply too dense, but I don't seem to have this issue with other authors on similar subjects.)

Brian Parbhu

This is pretty great! Would like to see examples showcased with a language like Stan for example.

P. Billings

Brian Parbhu

This is pretty great! Would like to see examples showcased with a language like Stan for example.

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