Matlab/Octave Compatibility toolbox
Matlab/Octave Compatibility toolbox
>> Matlab/Octave Compatibility toolbox
Matlab/Octave Compatibility toolbox
moc_angle
—
Compute atan(imag(A),real(A)) in radians
moc_cholinv
—
Use the Cholesky factorization to compute the inverse of the symmetric positive definite matrix a.
moc_circshift
—
Circularly shift the values of the array x
moc_columns
—
gives the number of columns from A
moc_conv
—
Convolve two vectors.
moc_conv2
—
performs 2D convolution of matrices a and b
moc_corr
—
Compute matrix of correlation coefficients.
moc_corrcov
—
Compute correlation matrix from covariance matrix.
moc_cov
—
Compute the covariance matrix.
moc_deal
—
Copy the input parameters into the corresponding output parameters.
moc_fft
—
matlab compatible fft
moc_fliplr
—
Return a copy of X with the order of the columns reversed.
moc_flipud
—
Return a copy of X with the order of the rows reversed.
moc_fzero
—
solves the scalar nonlinear equation such that F(X) == 0
moc_gaussian
—
Generate an n-point gaussian convolution window
moc_ifft
—
matlab compatible ifft
moc_inpolygon
—
determines if points are inside or outside of a given polygon
moc_islogical
—
checks if A is boolean
moc_ismember
—
Checks which elements of one matrix are member of an other matrix
moc_null
—
Return an orthonormal basis of the null space of A.
moc_poly
—
poly function from octave
moc_polyfit
—
Return the coefficients of a polynomial
moc_polyval
—
Evaluate the polynomial p at the specified values of x
moc_postpad
—
append the scalar
moc_prepad
—
prepend the scalar
moc_randi
—
Return random integers in a given range
moc_range
—
Range of values
moc_rot90
—
rotates the given matrix clockwise by 90 degrees.
moc_rows
—
gives the number of rows from A
moc_size_equal
—
checks if A and B have the same size
moc_spdiags
—
A generalization of the function 'diag'
moc_squeeze
—
Remove singleton dimensions from X and return the result
moc_sumsq
—
calculates the sum of squares.
moc_unique
—
Return the unique elements of x, sorted in ascending order.
moc_unwrap
—
Unwrap radian phases by adding multiples of 2*pi
moc_xcorr
—
Compute correlation R_xy of X and Y for various lags k:
moc_xcorr2
—
Compute the 2D correlation
moc_xcov
—
Compute covariance at various lags[=correlation(x-mean(x),y-mean(y))].
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Matlab/Octave Compatibility toolbox