Mercurial > hg > ltpda
comparison m-toolbox/html_help/help/ug/sigproc_dfilt_content.html @ 0:f0afece42f48
Import.
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 23 Nov 2011 19:22:13 +0100 |
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1 <p> | |
2 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 | |
3 </p> | |
4 <div align="center"> | |
5 <IMG src="images/sigproc_1.png" width="173" height="55" align="center" border="0"> | |
6 </div> | |
7 <p> | |
8 described in these terms, the filter is completely described by the impulse response h[k], and can then be subdivided into the following classes: | |
9 </p> | |
10 | |
11 <ul> | |
12 <li> Causal: if there is no output before input is fed in. | |
13 <div align="center"> | |
14 <IMG src="images/sigproc_2.png" width="103" height="28" align="center" border="0"> | |
15 </div> | |
16 </li> | |
17 <li> Stable: if finite input results in finite output. | |
18 <div align="center"> | |
19 <IMG src="images/sigproc_3.png" width="105" height="55" align="center" border="0"> | |
20 </div> | |
21 </li> | |
22 <li> Shift invariant: if time shift in the input results in a time shift in the output by the same amount. | |
23 <div align="center"> | |
24 <IMG src="images/sigproc_4.png" width="84" height="28" align="center" border="0"> | |
25 </div> | |
26 </li> | |
27 </ul> | |
28 <br> | |
29 <h2><a name="ARMA">Digital filters classification</a></h2> | |
30 <p> | |
31 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: | |
32 </p> | |
33 <ul> | |
34 <li> Autoregressive (AR) process: the difference equation in this case is given by: | |
35 <div align="center"> | |
36 <br> | |
37 <IMG src="images/sigproc_12.png" width="154" height="56" align="center" border="0"> | |
38 </div> | |
39 <br> | |
40 AR processes can be also classified as <a href="sigproc_iir.html"> IIR Filters</a>. | |
41 <br> | |
42 <br></li> | |
43 <li> Moving Averrage (MA) process:the difference equation in this case is given by: <br> | |
44 <div align="center"> | |
45 <br> | |
46 <IMG src="images/sigproc_11.png" width="156" height="56" align="center" border="0"> | |
47 </div> | |
48 <br> | |
49 MA processes can be also classified as <a href="sigproc_fir.html"> FIR Filters</a>. | |
50 <br> | |
51 <br></li> | |
52 <li>Autoregressive Moving Average (ARMA) process: the difference equation in this case contains both an AR and a MA process: | |
53 <div align="center"> | |
54 <br> | |
55 <IMG src="images/sigproc_7.png" width="283" height="56" align="center" border="0"> | |
56 </div> | |
57 </li> | |
58 | |
59 |