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 |
8ab8cbbc4bccf7543491a24448f4aae0b1be1c43 |
Min input args |
1 |
Max input args |
-1 |
Min output args |
1 |
Max output args |
-1 |
|
Method: ssm/bodecst |
|
Method: ssm/projectNoise |
 |
©LTP Team