Mercurial > hg > ltpda
view m-toolbox/html_help/help/ug/sigproc_dfilt_content.html @ 39:11e3ed9d2115 database-connection-manager
Implement databases listing in database connection dialog
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
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<p> A digital filter is an operation that associates an input time series x[n] into an output one, y[n]. Methods developed in the LTPDA Toolbox deal with linear digital filters, i.e. those which fulfill that a linear combination of inputs results in a linear combination of outputs with the same coefficients (provided that these are not time dependent). In these conditions, the filter can be expressed as </p> <div align="center"> <IMG src="images/sigproc_1.png" width="173" height="55" align="center" border="0"> </div> <p> described in these terms, the filter is completely described by the impulse response h[k], and can then be subdivided into the following classes: </p> <ul> <li> Causal: if there is no output before input is fed in. <div align="center"> <IMG src="images/sigproc_2.png" width="103" height="28" align="center" border="0"> </div> </li> <li> Stable: if finite input results in finite output. <div align="center"> <IMG src="images/sigproc_3.png" width="105" height="55" align="center" border="0"> </div> </li> <li> Shift invariant: if time shift in the input results in a time shift in the output by the same amount. <div align="center"> <IMG src="images/sigproc_4.png" width="84" height="28" align="center" border="0"> </div> </li> </ul> <br> <h2><a name="ARMA">Digital filters classification</a></h2> <p> Digital filters can be described as difference equations. If we consider an input time series x and an output y, three specific cases can then be distinguished: </p> <ul> <li> Autoregressive (AR) process: the difference equation in this case is given by: <div align="center"> <br> <IMG src="images/sigproc_12.png" width="154" height="56" align="center" border="0"> </div> <br> AR processes can be also classified as <a href="sigproc_iir.html"> IIR Filters</a>. <br> <br></li> <li> Moving Averrage (MA) process:the difference equation in this case is given by: <br> <div align="center"> <br> <IMG src="images/sigproc_11.png" width="156" height="56" align="center" border="0"> </div> <br> MA processes can be also classified as <a href="sigproc_fir.html"> FIR Filters</a>. <br> <br></li> <li>Autoregressive Moving Average (ARMA) process: the difference equation in this case contains both an AR and a MA process: <div align="center"> <br> <IMG src="images/sigproc_7.png" width="283" height="56" align="center" border="0"> </div> </li>