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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Tue, 06 Dec 2011 19:07:27 +0100 |
parents | f0afece42f48 |
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<!-- $Id: constructor_examples_ao_content.html,v 1.7 2011/01/24 18:02:53 ingo Exp $ --> <!-- -------------------------------------------------- --> <!-- --------------- BEGIN CONTENT FILE --------------- --> <!-- -------------------------------------------------- --> <!-- --------------- Link box: begin --------------- --> <table border="0" summary="Simple list" class="simplelist_nottable_last"> <tr> <td> <a href="constructor_examples_ao.html#empty">Copy an AO</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#xml_file">Construct an AO by loading the AO from a file</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#txt_file">Construct an AO from a data file</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#specwin">Construct an AO from spectral window</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#plist">Construct an AO from a parameter set</a> </td> </tr> </table> <!-- --------------- Link box: end --------------- --> <!-- --------------- NEXT EXAMPLE --------------- --> <hr> <h2 class="title"><a name="empty"></a>Copy an AO</h2> <p>The following example creates a copy of an analysis object (blue command).</p> <div class="fragment"><pre class="programlisting"> >> a1 = ao([1:12]); <span class="blue">>> a2 = ao(1)</span> ----------- ao: a ----------- name: none creator: created by hewitson@bobmac.aei.uni-hannover.de[130.75.117.65] on MACI/7.6 description: data: None hist: ao / ao / $Id: ao.m,v 1.220 2009/02/25 18:51:24 ingo Exp mfilename: mdlfilename: ----------------------------- </pre></div> <br></br> <p>REMARK: The following command copies only the handle of an object and doesn't create a copy of the object (as above). This means that everything that happens to the copy or original happens to the other object.</p> <div class="fragment"><pre class="programlisting"> >> a1 = ao() ----------- ao 01: a1 ----------- name: none description: data: None hist: ao / ao / $Id: ao.m,v 1.220 2009/02/25 18:51:24 ingo Exp mfilename: mdlfilename: --------------------------------- >> a2 = a1; >> a2.setName(<span class="string">'my new name'</span>) ----------- ao 01: my new name ----------- name: <span class="string">my new name</span> description: data: None hist: ltpda_uoh / setName / $Id: ao.m,v 1.220 2009/02/25 18:51:24 ingo Exp mfilename: mdlfilename: ------------------------------------------ </pre></div> <br></br> <p>If we display a1 again then we see that the property 'name' was changed although we only have changed a2.</p> <div class="fragment"><pre class="programlisting"> >> a1 ----------- ao 01: my new name ----------- name: <span class="string">my new name</span> description: data: None hist: ltpda_uoh / setName / $Id: ao.m,v 1.220 2009/02/25 18:51:24 ingo Exp mfilename: mdlfilename: ------------------------------------------ </pre></div> <!-- --------------- NEXT EXAMPLE --------------- --> <hr> <h2 class="title"><a name="xml_file"></a>Construct an AO by loading the AO from a file</h2> <p>The following example creates a new analysis object by loading the analysis object from disk.</p> <div class="fragment"><pre class="programlisting"> a = ao(<span class="string">'a1.mat'</span>) a = ao(<span class="string">'a1.xml'</span>) </pre></div> <p>or in a <tt>PLIST</tt></p> <div class="fragment"><pre class="programlisting"> pl = plist(<span class="string">'filename'</span>, <span class="string">'a1.xml'</span>) a = ao(pl) </pre></div> <!-- --------------- NEXT EXAMPLE --------------- --> <hr> <h2 class="title"><a name="txt_file"></a>Construct an AO from a data file</h2> <p>The following example creates a new analysis object by loading the data in 'file.txt'. The ascii file is assumed to be an equally sampled two-column file of time and amplitude.</p> <div class="fragment"><pre class="programlisting"> a = ao(<span class="string">'file.txt'</span>) or a = ao(<span class="string">'file.dat'</span>) </pre></div> <br></br> <p>The following example creates a new analysis object by loading the data in 'file'. The parameter list determines how the analysis object is created. The valid key/value pairs of the parameter list are: </p> <p> <table cellspacing="0" border="0" cellpadding="2" class="simplelist_nottable_last" width="80%"> <colgroup> <col width="25%"/> <col width="75%"/> </colgroup> <thead> <tr valign="top"> <th class="subcategorylist">Key</th> <th class="subcategorylist">Description</th> </tr> </thead> <tbody> <tr valign="top"> <td> <p>'type'</p> </td> <td> <p>'tsdata','fsdata','xydata' [default: 'tsdata']</p> </td> </tr> <tr valign="top"> <td> <p>'fs'</p> </td> <td> <p>If this value is set, the x-axes is computed by the fs value. [default: empty]</p> </td> </tr> <tr valign="top"> <td> <p>'columns'</p> </td> <td> <p> [1 2 1 4] Each pair represents the <tt>x</tt>- and <tt>y</tt>-axes (each column pair creates an analysis object).<br></br> If the value 'fs' is set, then each column is converted to the <tt>y</tt> vector of a time-series AO. [default: [1 2] ] </p> </td> </tr> <tr valign="top"> <td> <p>'comment_char'</p> </td> <td> <p>The comment character in the file [default: '%']</p> </td> </tr> <tr valign="top"> <td> <p>'description'</p> </td> <td> <p>To set the description in the analysis object</p> </td> </tr> <tr valign="top"> <td> <p>'...'</p> </td> <td> <p>Every property of the data object e.g. 'name'</p> </td> </tr> </tbody> </table> </p> <div class="fragment"><pre class="programlisting"> <span class="comment">% Each pair in col represents the x- and y-axes.</span> <span class="comment">% 'fs' is not used !!!</span> pl = plist(<span class="string">'filename'</span>, <span class="string">'data.dat'</span>, ... <span class="string">'description'</span>, <span class="string">'my ao description'</span>, ... <span class="string">'type'</span>, <span class="string">'xydata'</span>, ... <span class="string">'xunits'</span>, <span class="string">'s'</span>, ... <span class="string">'yunits'</span>, {<span class="string">'Volt'</span>, <span class="string">'Hz'</span>}, ... <span class="string">'columns'</span>, [1 2 1 3], ... <span class="string">'comment_char'</span>, <span class="string">'//'</span>); out = ao(<span class="string">'data.dat'</span>, pl); out = ao(pl); </pre></div> <br></br> <p>Another example where the time vector is specified by the sample rate (<tt>fs</tt>) and each column of data is converted in to a single AO.</p> <div class="fragment"><pre class="programlisting"> <span class="comment">% 'fs is used. As such, each column in <tt>col</tt> creates its own AO with the specified sample rate.</span> pl = plist(<span class="string">'filename'</span>, <span class="string">'data.dat'</span>,... <span class="string">'type'</span>, <span class="string">'tsdata'</span>, ... <span class="string">'fs'</span>, 100, ... <span class="string">'t0'</span>, {<span class="string">'14:00:00'</span>, <span class="string">'14:00:20'</span>, <span class="string">'14:00:30'</span>}, ... <span class="string">'columns'</span>, [1 2 3]); out = ao(<span class="string">'data.dat'</span>, pl); out = ao(pl); </pre></div> <!-- --------------- NEXT EXAMPLE --------------- --> <hr> <h2 class="title"><a name="specwin"></a>Construct an AO from a spectral window</h2> <p>The following example creates a cdata type AO containing the window values.</p> <div class="fragment"><pre class="programlisting"> win = specwin(<span class="string">'Kaiser'</span>, 100, 10); >> a = ao(win) ----------- ao 01: Kaiser ----------- name: Kaiser description: data: 0.7145 0.7249 0.7351 0.7452 0.7551 0.7649 0.7746 0.7840 0.7934 0.8025 ... -------- cdata 01 ------------ y: [1x100], double yunits: [] ------------------------------ hist: ao / ao / $Id: fromSpecWin.m,v 1.11 2008/12/05 10:47:14 hewitson Exp --> mfilename: mdlfilename: ------------------------------------- </pre></div> <!-- --------------- NEXT EXAMPLE --------------- --> <hr> <h2 class="title"><a name="plist"></a>Construct an AO from a parameter sets</h2> <p>Constructs an analysis object from the description given in the parameter list (in order of priority).</p> <!-- --------------- Link box: begin --------------- --> <table border="0" summary="Simple list" class="simplelist_nottable_last"> <tr> <td> <a href="constructor_examples_ao.html#file">From ASCII File</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#complexfile">From complex ASCII File</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#vals">From Values</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#fcn">From Function</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#xyfcn">From XY Function</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#tsfcn">From Time-series Function</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#fsfcn">From Frequency-series Function</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#win">From Window</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#waveform">From Waveform</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#hostname">From Repository</a> </td> </tr> <tr> <td> <a href="constructor_examples_ao.html#polyval">From Polynomial</a> </td> </tr> <tr> <tr> <td> <a href="constructor_examples_ao.html#pzmodel">From Pzmodel</a> </td> </tr> </table> <!-- --------------- Link box: end --------------- --> <!-- --------------- 'file' --------------- --> <hr> <h3 class="title"><a name="file">From ASCII File</h3> <p>The following example creates an analysis object from a datafile. Click <a href="matlab:web(['text://' ao.getInfo('ao', 'From ASCII File').tohtml])">here</a> to get more information about the parameters.</p> <div class="fragment"><pre class="programlisting"> <span class="comment">% Construct two analysis-objects with time-series data from</span> <span class="comment">% time data in the first column and the data in column 2 and 3 of the file.</span> a = ao(plist(<span class="string">'filename'</span>, <span class="string">'data.txt'</span>, <span class="string">'columns'</span>, [1 2 1 3], <span class="string">'type'</span>, <span class="string">'tsdata'</span>)); <span class="comment">% Construct two analysis-objects with the given frequency and the data in column 1 and 2.</span> a = ao(plist(<span class="string">'filename'</span>, <span class="string">'data.txt'</span>, <span class="string">'fs'</span>, 12.1, <span class="string">'columns'</span>, [1 2], <span class="string">'type'</span>, <span class="string">'tsdata'</span>)); <span class="comment">% Define a comment character for skip comments.</span> a = ao(plist(<span class="string">'filename'</span>, <span class="string">'data.txt'</span>, <span class="string">'comment_char'</span>, <span class="string">'#'</span>, <span class="string">'columns'</span>, [1 2 1 3], <span class="string">'type'</span>, <span class="string">'tsdata'</span>)); </pre></div> <!-- --------------- 'complexfile' --------------- --> <hr> <h3 class="title"><a name="complexfile">From complex ASCII File</h3> <p>The following example creates an analysis object from a complex datafile. Click <a href="matlab:web(['text://' ao.getInfo('ao', 'From complex ASCII File').tohtml])">here</a> to get more information about the parameters.</p> <div class="fragment"><pre class="programlisting"> a = ao(plist(<span class="string">'filename'</span>, <span class="string">'data.txt'</span>, <span class="string">'complex_type'</span>, <span class="string">'real/imag'</span>, <span class="string">'type'</span>, <span class="string">'tsdata'</span>)); a = ao(plist(<span class="string">'filename'</span>, <span class="string">'data.txt'</span>, <span class="string">'complex_type'</span>, <span class="string">'real/imag'</span>, <span class="string">'type'</span>, <span class="string">'fsdata'</span>, <span class="string">'columns'</span>, [1,2,4])); </pre></div> <!-- --------------- 'vals' --------------- --> <hr> <h3 class="title"><a name="vals"></a>From Values</h3> <p>The following example creates an AO from a set of values. The data type depends on the parameters. If you use the parameter key <b>'vals'</b> then you will get an analysis object with cdata. Click <a href="matlab:web(['text://' ao.getInfo('ao', 'From Values').tohtml])">here</a> for information about the <b>value</b> parameter set or <a href="matlab:web(['text://' ao.getInfo('ao', 'From XY Values').tohtml])">here</a> to get more information about the <b>xy-value</b> parameter set. </p> <div class="fragment"><pre class="programlisting"> <span class="comment">% cdata</span> a = ao(plist(<span class="string">'vals'</span>, [1 2 3], <span class="string">'N'</span>, 10)); <span class="comment">% xydata</span> a = ao(plist(<span class="string">'xvals'</span>, [1 2 3], <span class="string">'yvals'</span>, [10 20 30])); <span class="comment">% tsdata</span> a = ao(plist(<span class="string">'xvals'</span>, [1 2 3], <span class="string">'yvals'</span>, [10 20 30], <span class="string">'type'</span>, <span class="string">'tsdata'</span>)); a = ao(plist(<span class="string">'fs'</span>, 1, <span class="string">'yvals'</span>, [10 20 30])); <span class="comment">% fsdata</span> a = ao(plist(<span class="string">'xvals'</span>, [1 2 3], <span class="string">'yvals'</span>, [10 20 30], <span class="string">'type'</span>, <span class="string">'fsdata'</span>)); a = ao(plist(<span class="string">'fs'</span>, 1, <span class="string">'yvals'</span>, [10 20 30], <span class="string">'type'</span>, <span class="string">'fsdata'</span>)); a = ao(plist(<span class="string">'fs'</span>, 1, <span class="string">'yvals'</span>, [10 20 30], <span class="string">'type'</span>, <span class="string">'fsdata'</span>, <span class="string">'xunits'</span>, <span class="string">'mHz'</span>, <span class="string">'yunits'</span>, <span class="string">'V'</span>)); </pre></div> <!-- --------------- 'fcn' --------------- --> <hr> <h3 class="title"><a name="fcn">From Function</h3> <p>The following example creates an AO from the description of any valid MATLAB function. The data object is of type <tt>cdata</tt>. Click <a href="matlab:web(['text://' ao.getInfo('ao', 'From Function').tohtml])">here</a> to get more information about the parameters.</p> <div class="fragment"><pre class="programlisting"> a = ao(plist(<span class="string">'fcn'</span>, <span class="string">'randn(100,1)'</span>)); </pre></div> <p>You can pass additional parameters to the fcn as extra parameters in the parameter list:</p> <div class="fragment"><pre class="programlisting"> a = ao(plist(<span class="string">'fcn'</span>, <span class="string">'a*b'</span>, <span class="string">'a'</span>, 2, <span class="string">'b'</span>, 1:20)); </pre></div> <!-- --------------- 'xyfcn' --------------- --> <hr> <h3 class="title"><a name="xyfcn"></a>From XY Function</h3> <p>Construct an AO from a function f(x) string. The data object is from type <tt>xydata</tt>. Click <a href="matlab:web(['text://' ao.getInfo('ao', 'From XY Function').tohtml])">here</a> to get more information about the parameters.</p> <div class="fragment"><pre class="programlisting"> a = ao(plist(<span class="string">'xyfcn'</span>, <span class="string">'cos(2*pi*x) + randn(size(x))'</span>, <span class="string">'x'</span>, [1:1e5])); a = ao(plist(<span class="string">'xyfcn'</span>, <span class="string">'log(x)'</span>, <span class="string">'x'</span>, [1:50,52:2:100,110:10:1000])); </pre></div> <!-- --------------- 'tsfcn' --------------- --> <hr> <h3 class="title"><a name="tsfcn"></a>From Time-series Function</h3> <p>Construct an AO from a function of time, <tt>t</tt> f(t). The data object is from type <tt>tsdata</tt> (time-series data). Click <a href="matlab:web(['text://' ao.getInfo('ao', 'From Time-series Function').tohtml])">here</a> to get more information about the parameters.</p> <div class="fragment"><pre class="programlisting"> a = ao(plist(<span class="string">'fs'</span>, 10, ... <span class="string">'nsecs'</span>, 10, ... <span class="string">'tsfcn'</span>, <span class="string">'sin(2*pi*1.4*t) + 0.1*randn(size(t))'</span>, ... <span class="string">'t0'</span>, <span class="string">'1980-12-01 12:43:12'</span>)); a = ao(plist(<span class="string">'tsfcn'</span>, <span class="string">'cos(pi*t) + randn(size(t))'</span>, ... <span class="string">'fs'</span>, 1, ... <span class="string">'nsecs'</span>, 100)); a = ao(plist(<span class="string">'fs'</span>, 10, ... <span class="string">'nsecs'</span>, 10, ... <span class="string">'tsfcn'</span>, <span class="string">'sin(2*pi*1.4*t)+0.1*randn(size(t))'</span>, ... <span class="string">'t0'</span>, time(<span class="string">'1980-12-01 12:43:12'</span>))); </pre></div> <!-- --------------- 'fsfcn' --------------- --> <hr> <h3 class="title"><a name="fsfcn"></a>From Frequency-series Function</h3> <p>Construct an AO from a function of frequency, f f(f). The data object is from type <tt>fsdata</tt> (frequency-series). Click <a href="matlab:web(['text://' ao.getInfo('ao', 'From Frequency-series Function').tohtml])">here</a> to get more information about the parameters.</p> <div class="fragment"><pre class="programlisting"> a = ao(plist(<span class="string">'fsfcn'</span>, <span class="string">'f'</span>, <span class="string">'f1'</span>, 1e-5, <span class="string">'f2'</span>, 1, <span class="string">'yunits'</span>, <span class="string">'V'</span>)); a = ao(plist(<span class="string">'fsfcn'</span>, <span class="string">'f'</span>, <span class="string">'f'</span>, [0.01:0.01:1])); a = ao(plist(<span class="string">'fsfcn'</span>, <span class="string">'1./f.^2'</span>, <span class="string">'scale'</span>, <span class="string">'lin'</span>, <span class="string">'nf'</span>, 100)); </pre></div> <!-- --------------- 'win' --------------- --> <hr> <h3 class="title"><a name="win"></a>From Window</h3> <p>Construct an AO from a spectral window object.<br /> Click <a href="specwin_description.html">here</a> for a list of supported window functions and <a href="matlab:web(['text://' ao.getInfo('ao', 'From Window').tohtml])">here</a> to get more information about the parameters.</p> <div class="fragment"><pre class="programlisting"> a = ao(plist(<span class="string">'win'</span>, specwin(<span class="string">'Hanning'</span>, 100))) a = ao(plist(<span class="string">'win'</span>, specwin(<span class="string">'Kaiser'</span>, 10, 150))) </pre></div> <!-- --------------- 'waveform' --------------- --> % >> % >> ao(plist('waveform','noise','type','normal','sigma',2,'nsecs',1000,'fs',1)); % >> % >> % >> % >> <hr> <h3 class="title"><a name="waveform"></a>From Waveform</h3> <p>Construct an AO from a waveform with the following waveform types. Click <a href="matlab:web(['text://' ao.getInfo('ao', 'From Waveform').tohtml])">here</a> to get more information about the parameters.</p> <div class="fragment"><pre class="programlisting"> <span class="comment">% Construct random noise</span> a = ao(plist(<span class="string">'waveform'</span>, <span class="string">'noise'</span>, <span class="string">'type'</span>, <span class="string">'Normal'</span>, <span class="string">'sigma'</span>, 2, <span class="string">'nsecs'</span>, 1000, <span class="string">'fs'</span>, 1)); <span class="comment">% Construct uniform random noise</span> a = ao(plist(<span class="string">'waveform'</span>, <span class="string">'noise'</span>, <span class="string">'type'</span>, <span class="string">'Uniform'</span>, <span class="string">'nsecs'</span>, 1000, <span class="string">'fs'</span>, 1)); <span class="comment">% Construct a sine wave</span> a = ao(plist(<span class="string">'waveform'</span>, <span class="string">'sine wave'</span>, <span class="string">'A'</span>, 3, <span class="string">'f'</span>, 1, <span class="string">'phi'</span>, pi/2, <span class="string">'toff'</span>, 0.1, <span class="string">'nsecs'</span>, 10, <span class="string">'fs'</span>, 100)); <span class="comment">% Construct a chirp waveform</span> a = ao(plist(<span class="string">'waveform'</span>, <span class="string">'chirp'</span>, <span class="string">'f0'</span>, 0.1, <span class="string">'f1'</span>, 1, <span class="string">'t1'</span>, 1, <span class="string">'nsecs'</span>, 5, <span class="string">'fs'</span>, 1000)); <span class="comment">% Construct a Gaussian pulse waveform</span> a = ao(plist(<span class="string">'waveform'</span>, <span class="string">'gaussian pulse'</span>, <span class="string">'f0'</span>, 1, <span class="string">'bw'</span>, 0.2, <span class="string">'nsecs'</span>, 20, <span class="string">'fs'</span>, 10)); <span class="comment">% Construct a Square wave</span> a = ao(plist(<span class="string">'waveform'</span>, <span class="string">'square wave'</span>, <span class="string">'f'</span>, 2, <span class="string">'duty'</span>, 40, <span class="string">'nsecs'</span>, 10, <span class="string">'fs'</span>, 100)); <span class="comment">% Construct a Sawtooth wave</span> a = ao(plist(<span class="string">'waveform'</span>, <span class="string">'sawtooth'</span>, <span class="string">'f'</span>, 1.23, <span class="string">'width'</span>, 1, <span class="string">'nsecs'</span>, 10/1.23, <span class="string">'fs'</span>, 50)); </pre></div> <!-- --------------- 'hostname' --------------- --> <hr> <h3 class="title"><a name="hostname"></a>From Repository</h3> <p>Construct an AO by retrieving it from a LTPDA repository. Click <a href="matlab:web(['text://' ao.getInfo('ao', 'From Repository').tohtml])">here</a> to get more information about the parameters.</p> <div class="fragment"><pre class="programlisting"> <span class="comment">% Retrieves the objects with the object ID 1..10</span> a = ao(plist(<span class="string">'hostname'</span>, <span class="string">'123.123.123.123'</span>, <span class="string">'database'</span>, <span class="string">'ltpda_test'</span>, <span class="string">'ID'</span>, [1:10], <span class="string">'binary'</span>, <span class="string">'yes'</span>)); </pre></div> <!-- --------------- 'polyval' --------------- --> <hr> <h3 class="title"><a name="polyval"></a>From Polynomial</h3> <p>Construct an AO from a set of polynomial coefficients. The relevant parameters are:</p> <p> <table cellspacing="0" border="0" cellpadding="2" class="simplelist_nottable_last" width="80%"> <colgroup> <col width="25%"/> <col width="75%"/> </colgroup> <thead> <tr valign="top"> <th class="subcategorylist">Key</th> <th class="subcategorylist">Description</th> </tr> </thead> <tbody> <tr valign="top"> <td> <p>'polyval'</p> </td> <td> <p>A set of polynomial coefficients. [default: [] ]</p> </td> </tr> </tbody> </table> </p> <p>Additional parameters:</p> <p> <table cellspacing="0" border="0" cellpadding="2" class="simplelist_nottable_last" width="80%"> <colgroup> <col width="25%"/> <col width="75%"/> </colgroup> <thead> <tr valign="top"> <th class="subcategorylist">Key</th> <th class="subcategorylist">Description</th> </tr> </thead> <tbody> <tr valign="top"> <td> <p>'nsecs'</p> </td> <td> <p>Number of seconds [default: 10]</p> </td> </tr> <tr valign="top"> <td> <p>'fs'</p> </td> <td> <p>Sample rate[default: 10 s]</p> </td> </tr> </tbody> </table> </p> <p>or</p> <p> <table cellspacing="0" border="0" cellpadding="2" class="simplelist_nottable_last" width="80%"> <colgroup> <col width="25%"/> <col width="75%"/> </colgroup> <thead> <tr valign="top"> <th class="subcategorylist">Key</th> <th class="subcategorylist">Description</th> </tr> </thead> <tbody> <tr valign="top"> <td> <p>'t'</p> </td> <td> <p>vector of time vertices. The value can also be an AO, in which case the X vector is used. [default: [] ]</p> </td> </tr> </tbody> </table> </p> Click <a href="matlab:web(['text://' ao.getInfo('ao', 'From Polynomial').tohtml])">here</a> to get more information about the parameters. <div class="fragment"><pre class="programlisting"> a = ao(plist(<span class="string">'polyval'</span>, [1 2 3], <span class="string">'Nsecs'</span>, 10, <span class="string">'fs'</span>, 10)); </pre></div> <!-- --------------- 'pzmodel' --------------- --> <hr> <h3 class="title"><a name="pzmodel"></a>From Pzmodel</h3> <p>Generates an AO with a timeseries with a prescribed spectrum. Click <a href="matlab:web(['text://' ao.getInfo('ao', 'From Pzmodel').tohtml])">here</a> to get more information about the parameters.</p> <div class="fragment"><pre class="programlisting"> p = [pz(1,2) pz(10)] z = [pz(4)] pzm = pzmodel(1, p, z) fs = 10 nsecs = 100 a = ao(plist(<span class="string">'pzmodel'</span>, pzm, <span class="string">'Nsecs'</span>, nsecs, <span class="string">'Fs'</span>, fs)); </pre></div> <!-- ------------------------------------------------ --> <!-- --------------- END CONTENT FILE --------------- --> <!-- ------------------------------------------------ -->