Free inkscape vector script

C = INSERTROWS(A,B,IND) inserts the rows of matrix B into the matrix A at the positions IND. Row k of matrix B will be inserted after position IND(k)in the matrix A. If A is a N-by-X matrix and B is a M-by-X matrix, C will be a (N M)-by-X matrix. IND can contain non-integers.

If B is a 1-by-N matrix, B will be inserted for each insertion position specified by IND. If IND is a single value, the whole matrix B will be inserted at that position. If B is a single value, B is expanded to a row vector. In all other cases, the number of elements in IND should be equal to the number of rows in B, and the number of columns, planes etc should be the same for both matrices A and B. If any of the inputs are empty, C will return A.

Examples:
% the size of A,B, and IND all match
C = insertrows(rand(5,2),zeros(2,2),[1.5 3])
% the row vector B is inserted twice
C = insertrows(ones(4,3),1:3,[1 Inf])
% matrix B is expanded to a row vector and inserted twice (as in 2)
C = insertrows(ones(5,3),999,[2 4])
% the whole matrix B is inserted once
C = insertrows(ones(5,3),zeros(2,3),2)
[C, RA, RB] = INSERTROWS(...) will return the row indices RA and RB for which C
corresponds to the rows of either A and B.
[c,ra,rb] = insertrows([1:4].,99,[0 3]) ;
c. % -> [99 1 2 3 99 4] ;
c(ra). % -> [1 2 3 4] ;
c(rb). % -> [99 99] ;
To insert columns, planes, etc., you can permute the inputs and ipermute the result.
A = ones(4,3) ; B = zeros(4,1) ;
C = insertrows(permute(A,[2 1]), permute(B,[2 1]),1) ;
C = ipermute(C,[2 1]) ;
See also PERMUTE, IPERMUTE, RESHAPE, CAT

Requirements:

• MATLAB Release: R13

Usage:

• q = specwelch(x,dt,w,Nsg,pnv,Wn,ftype,n)
• [psdf,f] = specwelch(x,dt,w,Nsg,pnv,Wn,ftype,n)
• [psdf,conf,f] = specwelch(x,dt,w,Nsg,pnv,Wn,ftype,n)
  

Input Var:

• x - Time series, [vector]
• dt - Sampling Rate, [scalar]
• win - Window, one of: hanning, hamming, boxcar
• Nsg - Number of Segments (>=1)
• pnv - Percentage Noverlap of Segments (0-100)
• Nb - Band Averaging, number of bands to average
• Wn - Cut-Off frequencies, used for filtering
• ftype - Type of filter, high, low or stop
• n - Number of coefficients to use in the Butterworth filter

Output Var:

• q - structure with the following fields:
• xp - detrended x
• f = Frequencies
• T - Periods
• m - Magnitude
• a - Amplitude
• s - Power spectrum, Sxx(win), [Power]
• psdw - Power Spectral Density, Pxx(win), [Power/rad/sample]
• psdf - Power Spectral Density, Pxx(f), [Power/sample-freq]
• psdT - Power Spectral Density, Pxx(T), [Power*time-unit]
• conf - Upper and Lower Confidence Interval multiplication factors using chi-squared approach.

Requirements:

• MATLAB 7 (R14)

PERMPOS is a convenient mathematical tool which contains all possible permutations of M values in N positions. B = PERMPOS(M,N) where M and N are non-negative integers produces a logical (N!/M!(N-M)!)-by-N matrix in which each row contains a unique permation of M trues and (N-M) falses. Note that each column will hence contain (N-1) trues.

B = PERMPOS(V,N) where V is a vector of length M produces a matrix where each row a contains the values of V in preserved order, but uniquely permuted at the N columns. The remaining positions are zero.

Examples:
permpos(2,4) % ->
% 1 1 0 0
% 1 0 1 0
% 1 0 0 1
% 0 1 1 0
% 0 1 0 1
% 0 0 1 1
permpos([-4 9 3],4) % >
% -4 9 3 0
% -4 9 0 3
% -4 0 9 3
% 0 -4 9 3
See also NCHOOSEK, PERMS, RANDPERM, TRUE, FALSE and COMBN, ALLCOMB, BALLATSQ, NONES (Matlab File Exchange)

Requirements:

• MATLAB Release: R13