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))].