LTPDA Toolbox™

Method matrix/loglikelihood

  LOGLIKELIHOOD: Compute log-likelihood for MATRIX objects
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
  Compute the (unnormalized) log-likelihood for MATRIX 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	matrix
Sealed	0
Static	0

Parameter Description

Sets for this method …
Default

Default
no description
Key	Default Value	Options	Description
loglikelihood
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.
LOG PARAMETERS	[]	none	A vector of zeros and ones, denoting the position of a log-parameter.

Example
plist('X', [[]], 'IN', [[]], 'OUT', [[]], 'NOISE', [[]], 'PARAMS', [[]], 'F', [[]], 'LOG PARAMETERS', [[]])

Some information of the method matrix/loglikelihood are listed below:
Class name	matrix
Method name	loglikelihood
Category	Signal Processing
Package name	ltpda
VCS Version	967b0eec0dece803a81af8ef54ad2f8c784b20b2
Min input args	1
Max input args	-1
Min output args	1
Max output args	-1
Can be used as modifier	1
Supported numeric types	{'double'}

Method: matrix/linlsqsvd

Method: matrix/lpsd

Method matrix/loglikelihood

Parameter Description

Default

Example