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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><front><journal-meta><journal-id journal-id-type="publisher-id">INFORMATICA</journal-id><journal-title-group><journal-title>Informatica</journal-title></journal-title-group><issn pub-type="epub">0868-4952</issn><issn pub-type="ppub">0868-4952</issn><publisher><publisher-name>VU</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">INF8303</article-id><article-id pub-id-type="doi">10.3233/INF-1997-8303</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research article</subject></subj-group></article-categories><title-group><article-title>Statistical properties of pipelined-block linear time-varying discrete-time systems in state space</article-title></title-group><contrib-group><contrib contrib-type="Author"><name><surname>Kazlauskas</surname><given-names>Kazys</given-names></name><email xlink:href="mailto:jurgita@ktl.mii.lt">jurgita@ktl.mii.lt</email><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><aff id="j_INFORMATICA_aff_000">Institute of Mathematics and Informatics, Akademijos 4, 2600 Vilnius, Lithuania</aff></contrib-group><pub-date pub-type="epub"><day>01</day><month>01</month><year>1997</year></pub-date><volume>8</volume><issue>3</issue><fpage>345</fpage><lpage>366</lpage><abstract><p>Statistical properties are examined for a class of pipelined-block linear time-varying (LTV) and linear time-invariant (LTI) discrete-time systems. Pipelined-block equations are derived, using the general solution of LTV discrete-time system in state space. Afterwards, we analysed the state covariance and output covariance matrices of pipelined-block LTV and LTI discrete-time systems in state space. For this class of pipelined-block realizations expressions are found for calculation of characteristics of the roundoff noise. Finally, scaling in the pipelined LTV discrete-time systems in state space is considered.</p></abstract><kwd-group><label>Keywords</label><kwd>linear</kwd><kwd>discrete systems</kwd><kwd>pipelining</kwd><kwd>block processing</kwd><kwd>state space</kwd><kwd>statistical properties</kwd></kwd-group></article-meta></front></article>