Package | Description |
---|---|
flimlib | |
flimlib.flimj |
Modifier and Type | Method and Description |
---|---|
static NoiseType |
NoiseType.swigToEnum(int swigValue) |
static NoiseType |
NoiseType.valueOf(String name)
Returns the enum constant of this type with the specified name.
|
static NoiseType[] |
NoiseType.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
Modifier and Type | Method and Description |
---|---|
static int |
FLIMLib.GCI_EcfModelSelectionEngine(float xincr,
float[] trans,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
DecayModel[] paramsandfits,
float[] chisq_diff,
int[] model) |
static int |
FLIMLib.GCI_marquardt_fitting_engine(float xincr,
float[] trans,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
float[] param,
boolean[] paramfree,
RestrainType restrain,
FitFunc fitfunc,
float[] fitted,
float[] residuals,
float[] chisq,
Float2DMatrix covar,
Float2DMatrix alpha,
Float2DMatrix erraxes,
float chisq_target,
float chisq_delta,
int chisq_percent) |
static int |
FLIMLib.GCI_marquardt_global_exps_instr(float xincr,
Float2DMatrix trans,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
FitType ftype,
Float2DMatrix param,
boolean[] paramfree,
RestrainType restrain,
float chisq_delta,
Float2DMatrix fitted,
Float2DMatrix residuals,
float[] chisq_trans,
float[] chisq_global,
int[] df,
int drop_bad_transients) |
static int |
FLIMLib.GCI_marquardt_global_generic_instr(float xincr,
Float2DMatrix trans,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
Float2DMatrix param,
boolean[] paramfree,
int[] gparam,
RestrainType restrain,
float chisq_delta,
FitFunc fitfunc,
Float2DMatrix fitted,
Float2DMatrix residuals,
float[] chisq_trans,
float[] chisq_global,
int[] df) |
static int |
FLIMLib.GCI_marquardt_instr(float xincr,
float[] y,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
float[] param,
boolean[] paramfree,
RestrainType restrain,
FitFunc fitfunc,
float[] fitted,
float[] residuals,
Float2DMatrix covar,
Float2DMatrix alpha,
float[] chisq,
float chisq_delta,
float chisq_percent,
Float2DMatrix erraxes) |
static int |
FLIMLib.GCI_marquardt(float[] x,
float[] y,
NoiseType noise,
float[] sig,
float[] param,
boolean[] paramfree,
RestrainType restrain,
FitFunc fitfunc,
float[] fitted,
float[] residuals,
Float2DMatrix covar,
Float2DMatrix alpha,
float[] chisq,
float chisq_delta,
float chisq_percent,
Float2DMatrix erraxes) |
static int |
FLIMLib.GCI_SPA_1D_marquardt_global_exps_instr(float xincr,
Float2DMatrix trans,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
FitType ftype,
Float2DMatrix param,
boolean[] paramfree,
RestrainType restrain,
float chisq_delta,
int drop_bad_transients,
int spa_param,
int spa_nvalues,
float spa_low,
float spa_high,
float[] chisq_global,
int[] df) |
static int |
FLIMLib.GCI_SPA_1D_marquardt_global_generic_instr(float xincr,
Float2DMatrix trans,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
Float2DMatrix param,
boolean[] paramfree,
int[] gparam,
RestrainType restrain,
float chisq_delta,
FitFunc fitfunc,
int spa_param,
int spa_nvalues,
float spa_low,
float spa_high,
float[] chisq_global,
int[] df) |
static int |
FLIMLib.GCI_SPA_1D_marquardt_instr(float xincr,
float[] y,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
float[] param,
boolean[] paramfree,
RestrainType restrain,
float chisq_delta,
FitFunc fitfunc,
int spa_param,
int spa_nvalues,
float spa_low,
float spa_high,
float[] chisq,
float chisq_target) |
static int |
FLIMLib.GCI_SPA_1D_marquardt(float[] x,
float[] y,
NoiseType noise,
float[] sig,
float[] param,
boolean[] paramfree,
RestrainType restrain,
float chisq_delta,
FitFunc fitfunc,
int spa_param,
int spa_nvalues,
float spa_low,
float spa_high,
float[] chisq) |
static int |
FLIMLib.GCI_SPA_2D_marquardt_global_exps_instr(float xincr,
Float2DMatrix trans,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
FitType ftype,
Float2DMatrix param,
boolean[] paramfree,
RestrainType restrain,
float chisq_delta,
int drop_bad_transients,
int spa_param1,
int spa_nvalues1,
float spa_low1,
float spa_high1,
int spa_param2,
int spa_nvalues2,
float spa_low2,
float spa_high2,
Float2DMatrix chisq_global,
Int2DMatrix df) |
static int |
FLIMLib.GCI_SPA_2D_marquardt_global_generic_instr(float xincr,
Float2DMatrix trans,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
Float2DMatrix param,
boolean[] paramfree,
int[] gparam,
RestrainType restrain,
float chisq_delta,
FitFunc fitfunc,
int spa_param1,
int spa_nvalues1,
float spa_low1,
float spa_high1,
int spa_param2,
int spa_nvalues2,
float spa_low2,
float spa_high2,
Float2DMatrix chisq_global,
Int2DMatrix df) |
static int |
FLIMLib.GCI_SPA_2D_marquardt_instr(float xincr,
float[] y,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
float[] param,
boolean[] paramfree,
RestrainType restrain,
float chisq_delta,
FitFunc fitfunc,
int spa_param1,
int spa_nvalues1,
float spa_low1,
float spa_high1,
int spa_param2,
int spa_nvalues2,
float spa_low2,
float spa_high2,
Float2DMatrix chisq,
float chisq_target) |
static int |
FLIMLib.GCI_SPA_2D_marquardt(float[] x,
float[] y,
NoiseType noise,
float[] sig,
float[] param,
boolean[] paramfree,
RestrainType restrain,
float chisq_delta,
FitFunc fitfunc,
int spa_param1,
int spa_nvalues1,
float spa_low1,
float spa_high1,
int spa_param2,
int spa_nvalues2,
float spa_low2,
float spa_high2,
Float2DMatrix chisq) |
static int |
FLIMLib.GCI_triple_integral_fitting_engine(float xincr,
float[] y,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
float[] Z,
float[] A,
float[] tau,
float[] fitted,
float[] residuals,
float[] chisq,
float chisq_target) |
static int |
FLIMLib.GCI_triple_integral_instr(float xincr,
float[] y,
int fit_start,
int fit_end,
float[] instr,
NoiseType noise,
float[] sig,
float[] Z,
float[] A,
float[] tau,
float[] fitted,
float[] residuals,
float[] chisq,
int division) |
static int |
FLIMLib.GCI_triple_integral(float xincr,
float[] y,
int fit_start,
int fit_end,
NoiseType noise,
float[] sig,
float[] Z,
float[] A,
float[] tau,
float[] fitted,
float[] residuals,
float[] chisq,
int division) |
Modifier and Type | Field and Description |
---|---|
NoiseType |
FitParams.noise
The assumed noise model of the fit (Poisson by default) @see NoiseType
|
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