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...
Saved in:
Published in: | Signal processing 2014-01, Vol.94, p.1-5 |
---|---|
Main Authors: | , , |
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&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 & 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 |