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About Tutorial On Higher Order Statistics
This document provides an overview of higher-order statistics (also known as cumulants) and their applications in signal processing and systems theory. It discusses how over 200 papers in recent years have applied higher-order statistics to problems involving non-Gaussianity, colored noise, nonlinearities, and more. The document aims to collect some of the most useful theoretical results in one place, and describe applications to identifying nonminimum phase channels from noisy output measurements. It summarizes over 20 new methods for this application.
Detailed Information
| Author: | ['anurag sahay'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 28 |
| Language: | English |
| Format: | |
| Price: | FREE |
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