Loading…

Fisher information matrix, Rao test, and Wald test for complex-valued signals and their applications

The Fisher information matrix (FIM) is an important tool in signal processing. In this paper, we investigate the FIM with respect to the complex-valued quantities, and show its application in signal processing, such as the design of the Rao and Wald tests, and the derivation of the Cramér–Rao bound...

Full description

Saved in:
Bibliographic Details
Published in:Signal processing 2014-01, Vol.94, p.1-5
Main Authors: Liu, Weijian, Wang, Yongliang, Xie, Wenchong
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c369t-1deb98b7602244b3630149ca7da05e9ba03fee48c8174819044259e109d226f33
cites cdi_FETCH-LOGICAL-c369t-1deb98b7602244b3630149ca7da05e9ba03fee48c8174819044259e109d226f33
container_end_page 5
container_issue
container_start_page 1
container_title Signal processing
container_volume 94
creator Liu, Weijian
Wang, Yongliang
Xie, Wenchong
description The Fisher information matrix (FIM) is an important tool in signal processing. In this paper, we investigate the FIM with respect to the complex-valued quantities, and show its application in signal processing, such as the design of the Rao and Wald tests, and the derivation of the Cramér–Rao bound for the unbiased estimate. Some examples are also given. •We show some important features of the FIM with respect to complex-valued signals.•The Rao and Wald tests for complex-valued signals are given.•We present the CRB of unbiased estimates involved complex FIM.•Several examples about their application are also given.
doi_str_mv 10.1016/j.sigpro.2013.06.032
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1671552946</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0165168413002624</els_id><sourcerecordid>1671552946</sourcerecordid><originalsourceid>FETCH-LOGICAL-c369t-1deb98b7602244b3630149ca7da05e9ba03fee48c8174819044259e109d226f33</originalsourceid><addsrcrecordid>eNp9kE1rGzEQhkVJoY7bf9CDLoEestvRx0qrSyGYpC0EAiGhRyFLs43MencjrU3y76vYJseehmGemVd6CPnKoGbA1PdNnePfKY01ByZqUDUI_oEsWKt5pZtGn5FFwZqKqVZ-Iuc5bwAKqWBBwk3MT5hoHLoxbd0cx4GWkuLLJb13I50xz5fUDYH-cX04tLSQ1I_bqceXau_6HQZa8gfX5wM4P2FM1E1TH_3hYP5MPnZlil9OdUkeb64fVr-q27ufv1dXt5UXyswVC7g27Vor4FzKtVACmDTe6eCgQbN2IDpE2fqWadkyA1LyxiADEzhXnRBL8u14t7h43pWn2m3MHvveDTjusmVKs6bhRqqCyiPq05hzws5OKW5derUM7JtUu7FHqfZNqgVli9SydnFKcNm7vktu8DG_73JtQAujC_fjyGH57j5istlHHDyGmNDPNozx_0H_AK9cjvw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1671552946</pqid></control><display><type>article</type><title>Fisher information matrix, Rao test, and Wald test for complex-valued signals and their applications</title><source>ScienceDirect Journals</source><creator>Liu, Weijian ; Wang, Yongliang ; Xie, Wenchong</creator><creatorcontrib>Liu, Weijian ; Wang, Yongliang ; Xie, Wenchong</creatorcontrib><description>The Fisher information matrix (FIM) is an important tool in signal processing. In this paper, we investigate the FIM with respect to the complex-valued quantities, and show its application in signal processing, such as the design of the Rao and Wald tests, and the derivation of the Cramér–Rao bound for the unbiased estimate. Some examples are also given. •We show some important features of the FIM with respect to complex-valued signals.•The Rao and Wald tests for complex-valued signals are given.•We present the CRB of unbiased estimates involved complex FIM.•Several examples about their application are also given.</description><identifier>ISSN: 0165-1684</identifier><identifier>EISSN: 1872-7557</identifier><identifier>DOI: 10.1016/j.sigpro.2013.06.032</identifier><identifier>CODEN: SPRODR</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Applied sciences ; Complex-valued signal ; Cramer-Rao bounds ; Cramér–Rao bound ; Derivation ; Detection, estimation, filtering, equalization, prediction ; Estimates ; Exact sciences and technology ; Fisher information matrix ; Information, signal and communications theory ; Rao test ; Signal and communications theory ; Signal processing ; Signal, noise ; Telecommunications and information theory ; Wald test</subject><ispartof>Signal processing, 2014-01, Vol.94, p.1-5</ispartof><rights>2013</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-1deb98b7602244b3630149ca7da05e9ba03fee48c8174819044259e109d226f33</citedby><cites>FETCH-LOGICAL-c369t-1deb98b7602244b3630149ca7da05e9ba03fee48c8174819044259e109d226f33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,4010,27904,27905,27906</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=27907397$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Weijian</creatorcontrib><creatorcontrib>Wang, Yongliang</creatorcontrib><creatorcontrib>Xie, Wenchong</creatorcontrib><title>Fisher information matrix, Rao test, and Wald test for complex-valued signals and their applications</title><title>Signal processing</title><description>The Fisher information matrix (FIM) is an important tool in signal processing. In this paper, we investigate the FIM with respect to the complex-valued quantities, and show its application in signal processing, such as the design of the Rao and Wald tests, and the derivation of the Cramér–Rao bound for the unbiased estimate. Some examples are also given. •We show some important features of the FIM with respect to complex-valued signals.•The Rao and Wald tests for complex-valued signals are given.•We present the CRB of unbiased estimates involved complex FIM.•Several examples about their application are also given.</description><subject>Applied sciences</subject><subject>Complex-valued signal</subject><subject>Cramer-Rao bounds</subject><subject>Cramér–Rao bound</subject><subject>Derivation</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Estimates</subject><subject>Exact sciences and technology</subject><subject>Fisher information matrix</subject><subject>Information, signal and communications theory</subject><subject>Rao test</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>Signal, noise</subject><subject>Telecommunications and information theory</subject><subject>Wald test</subject><issn>0165-1684</issn><issn>1872-7557</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9kE1rGzEQhkVJoY7bf9CDLoEestvRx0qrSyGYpC0EAiGhRyFLs43MencjrU3y76vYJseehmGemVd6CPnKoGbA1PdNnePfKY01ByZqUDUI_oEsWKt5pZtGn5FFwZqKqVZ-Iuc5bwAKqWBBwk3MT5hoHLoxbd0cx4GWkuLLJb13I50xz5fUDYH-cX04tLSQ1I_bqceXau_6HQZa8gfX5wM4P2FM1E1TH_3hYP5MPnZlil9OdUkeb64fVr-q27ufv1dXt5UXyswVC7g27Vor4FzKtVACmDTe6eCgQbN2IDpE2fqWadkyA1LyxiADEzhXnRBL8u14t7h43pWn2m3MHvveDTjusmVKs6bhRqqCyiPq05hzws5OKW5derUM7JtUu7FHqfZNqgVli9SydnFKcNm7vktu8DG_73JtQAujC_fjyGH57j5istlHHDyGmNDPNozx_0H_AK9cjvw</recordid><startdate>201401</startdate><enddate>201401</enddate><creator>Liu, Weijian</creator><creator>Wang, Yongliang</creator><creator>Xie, Wenchong</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201401</creationdate><title>Fisher information matrix, Rao test, and Wald test for complex-valued signals and their applications</title><author>Liu, Weijian ; Wang, Yongliang ; Xie, Wenchong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-1deb98b7602244b3630149ca7da05e9ba03fee48c8174819044259e109d226f33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Complex-valued signal</topic><topic>Cramer-Rao bounds</topic><topic>Cramér–Rao bound</topic><topic>Derivation</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Estimates</topic><topic>Exact sciences and technology</topic><topic>Fisher information matrix</topic><topic>Information, signal and communications theory</topic><topic>Rao test</topic><topic>Signal and communications theory</topic><topic>Signal processing</topic><topic>Signal, noise</topic><topic>Telecommunications and information theory</topic><topic>Wald test</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Weijian</creatorcontrib><creatorcontrib>Wang, Yongliang</creatorcontrib><creatorcontrib>Xie, Wenchong</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Weijian</au><au>Wang, Yongliang</au><au>Xie, Wenchong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fisher information matrix, Rao test, and Wald test for complex-valued signals and their applications</atitle><jtitle>Signal processing</jtitle><date>2014-01</date><risdate>2014</risdate><volume>94</volume><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>0165-1684</issn><eissn>1872-7557</eissn><coden>SPRODR</coden><abstract>The Fisher information matrix (FIM) is an important tool in signal processing. In this paper, we investigate the FIM with respect to the complex-valued quantities, and show its application in signal processing, such as the design of the Rao and Wald tests, and the derivation of the Cramér–Rao bound for the unbiased estimate. Some examples are also given. •We show some important features of the FIM with respect to complex-valued signals.•The Rao and Wald tests for complex-valued signals are given.•We present the CRB of unbiased estimates involved complex FIM.•Several examples about their application are also given.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.sigpro.2013.06.032</doi><tpages>5</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0165-1684
ispartof Signal processing, 2014-01, Vol.94, p.1-5
issn 0165-1684
1872-7557
language eng
recordid cdi_proquest_miscellaneous_1671552946
source ScienceDirect Journals
subjects Applied sciences
Complex-valued signal
Cramer-Rao bounds
Cramér–Rao bound
Derivation
Detection, estimation, filtering, equalization, prediction
Estimates
Exact sciences and technology
Fisher information matrix
Information, signal and communications theory
Rao test
Signal and communications theory
Signal processing
Signal, noise
Telecommunications and information theory
Wald test
title Fisher information matrix, Rao test, and Wald test for complex-valued signals and their applications
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T19%3A35%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fisher%20information%20matrix,%20Rao%20test,%20and%20Wald%20test%20for%20complex-valued%20signals%20and%20their%20applications&rft.jtitle=Signal%20processing&rft.au=Liu,%20Weijian&rft.date=2014-01&rft.volume=94&rft.spage=1&rft.epage=5&rft.pages=1-5&rft.issn=0165-1684&rft.eissn=1872-7557&rft.coden=SPRODR&rft_id=info:doi/10.1016/j.sigpro.2013.06.032&rft_dat=%3Cproquest_cross%3E1671552946%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c369t-1deb98b7602244b3630149ca7da05e9ba03fee48c8174819044259e109d226f33%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1671552946&rft_id=info:pmid/&rfr_iscdi=true