The BSLTL package is a free collection of OCTAVE/MATLAB routines for working with the biospeckle laser technique.

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DATACUT is a function in graphic mode that selects and cuts a portion of data pack (DATA).

This function creates a data pack (3D matrix) from a set of images in a directory.

This function creates a gif file from the data pack (DATA).

The function returns the binary entropy of a probability mass function.

This function divides the MAT matrix in windows of WLines lines and WColumns
columns, then in each one of these windows it is calculated the mean value of all
elements.

It is a function that returns a matrix X with elements smaller than U.

This function implements a convolution for each pixel of datapack.

This function implements a filter bank for each pixel of a datapack.

This function makes a step to synthesis filter bank for each pixel of datapacks DATA0 and DATA1.

This function makes a synthesis of a path in a filter bank, for each pixel of datapack DATA.

This function returns the modulus of frequency response of function H.

This function returns a vector with the parameters of a FIR filter with cut-off in pi/2 (for a 2*pi normalized frequency range).

This function returns the vector H1, the quadrature mirror filter of H0.

This function implements the Fujii Technique [1].

This function implements the Generalized Difference Technique [1].

This function implements the temporal speckle contrast matrix [1], the temporal
speckle standard deviation matrix and the temporal speckle mean matrix.

This function implements the Absolute Value of the Differences (AVD) method [1],
only using a pixel-by time, with the normalization of the co-occurrence matrix (COM)
proposed by CARDOSO, R

This function implements the Inertia Moment (IM) [1] method, only on a pixel-by time,
with the normalization of the co-occurrence matrix (COM) proposed by
CARDOSO, R.R.

This function implements the Parameterized form of Temporal Difference (PTD)
[1] technique.

This function implements the Regular Value of the Differences method [1],
only on a pixel-by time, with the normalization of the co-occurrence matrix (COM)
proposed by CARDOSO, R.R.

This function implements the Motion History Image (MHI) technique [1-2], and considers a pixel as in activity, where it should have an absolute intensity jump superior to U.

This function calculates the temporal speckle kurtosis matrix (K).

This function calculates the temporal speckle skewness matrix (S).

Absolute Value of the Differences (AVD) method.

This function creates the Co-occurrence matrix (COM)[1].

This function implements the Inertia Moment (IM) method [1].

Numerical analysis of the modified AVD method [1].

Regular Value of the Differences (RVD) method [1].

This function implements the spatial-temporal speckle correlation [1]
technique.

This function implements the space-time speckle correlation [1]
technique.

The probability mass function of absolute difference (PMFAD) represents the probabilities of a random variable Z, being $Z=|i-j|$.

The probability mass function of regular difference (PMFRD) represents the probabilities of a random variable W, being $W=(i-j)$.

This function creates the THSP (Time History Speckle Pattern)[1][2] of a set
of pixels in a line or column of a datapack (DATA).

This function creates the THSP (Time History Speckle Pattern)[1][2]
of a set of M points (pixels) randomly (Gaussian) selected in EXAMPLE_MATRIX,
and through DATA(:,:,k) for all k value.

This function creates the THSP (Time History Speckle Pattern)[1][2] of a set
of pixels in a line in a data pack (DATA), (This function is an alias of
thsp() function).

This function creates the THSP (Time History Speckle Pattern)[1][2] of a set
of M points (pixels) randomly (Uniform) selected in DATA(:,:,1), and through
DATA(:,:,k) for all k value.

Homogeneity of spatial variability [1].

Saturation and sub-exposition of light[1].

Spatial speckle contrast window [1] method.

This function save the images inside of datapack in a set of BMP files.

This function returns a fir filter with an order and cut-off specified.

This function save the images inside of datapack in a set of BMP files.

This function select a set of M points, selected according to Type, in DATA(:,:,1), and through DATA(:,:,k)

This function evaluates the THSP (Time History Speckle Patterns) of a set points selected in DATA(:,:,1), and through DATA(:,:,k) for all k value.

Package: bsltl