Method ssm/loglikelihood
LOGLIKELIHOOD: Compute log-likelihood for SSM objects
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Compute the (unnormalized) log-likelihood for SSM objects.
loglik_snr = loglikelihood(model,pl);
OUTPUTS: logL - A collection of objects containing the LLH, SNR,
LLH(exp), SNR(exp), LLH(frequencies).
NOTE: If callerIsMethod is true, only the numerical values of the
above items are returned.
Example: [LLH SNR LLH(exp) SNR(exp) LLH(f)] = loglikelihood(m, plist);
Otherwise, if callerIsMethod == false
collection = loglikelihood(m, plist);
Parameters Description
M. Nofrarias, N. Karnesis 2012
| Method Details |
|
| Access |
public |
| Defining Class |
ssm |
| Sealed |
0 |
| Static |
0 |
Parameter Description
| Sets for this method … |
| Default |
Default |
| no description |
| Key |
Default Value |
Options |
Description |
| X |
[] |
none |
The parameter values. A 1xNumParams array. |
| IN |
[] |
none |
The injection signals (in frequency domain). |
| OUT |
[] |
none |
The measured output of the system (in frequency domain). |
| NOISE |
[] |
none |
The inverse cross-spectrum matrix of the measured noise. |
| PARAMS |
[] |
none |
A cell array containing the names of the parameters to fit. |
| F |
[] |
none |
Numerical array of frequencies to perform the bode on the SSM. For different experiments, it can be a cell array. |
| LOG PARAMETERS |
[] |
none |
A vector of zeros and ones, denoting the position of a log-parameter. |
| INNAMES |
'' |
none |
Input names. Used for ssm models |
| OUTNAMES |
'' |
none |
Output names. Used for ssm models |
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| Some information of the method ssm/loglikelihood are listed below: |
| Class name |
ssm |
| Method name |
loglikelihood |
| Category |
Signal Processing |
| Package name |
ltpda |
| VCS Version |
f3f3872c69c1252d198e87288372d1367fc6ceec |
| Min input args |
1 |
| Max input args |
-1 |
| Min output args |
1 |
| Max output args |
-1 |
|
Method: ssm/bodecst |
|
Method: ssm/projectNoise |
 |
©LTP Team