map2map

Create a x/y-map with fixed grid (dx and dy is constant) from a x/y-map with varying grid. This function was implemented to display spectrograms with varying hopsize dt and frequency resolution df.

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Usage 1

map2map(type, x, nc)

typethis argument must be set to 0; it will be used in future to select the format of input data and/or the remapping algorithm

xa NxM matrix containing the input map

nca vector with length N; the value nc[i] specifies the number of used columns in the row x[i,*] of the input map

2 <= nc[i] <= M; with: i=0..N-1

the length of the interpolated vector; the interpolated vector can be shorter or longer than the original

type

the type of interpolation to perform; currently only linear interpolation (type=0) is supported.

mv

the value to use for 'missing values'. If mv is given, then interpolation is stopped when x[i] = mv. This means that the sections without missing values are individually interpolated. If mv is not supplied, the whole vector x is interpolated.

Description

Each column i of the input map contains a data vector {x[i,0], .., x[i,nc[i]-1]}. A linear interpolation is used to expand all column vectors to the length M

Result

The interpolated vector y with length n.

Notes

See also

rpolyreg, qinterp, map2map

<function list>

//----- // Map2Map(Type_s=0, X_m, NCol_v {, PRow_v}) // // Type_s=0 expand all rows to equal length (use linear interpolation) // if PRow_v is specified: map varying row distances to fixed grid (use linear interpolation) // // X_m input map (N rows, M columns) N > 2, M > 2 // NCol_v NCol_v[n] = the number of used columns in row X_m[n,*]; 0 <= n < N, 2 < NCol[n] < M // PRow_v XRow_v[n] = the relative position of row X_m[n,*]; 0 <= n < N, PRow_[0] < PRow[1] < .. < PRow[N-2] < PRow[NX-1] // // result: without PRow_v: Y_m (N rows, M columns) // with PRow_v: Y_m (NY rows, M columns); NY := int ( (PRow_v[N-1] - PRow_v[0]) / min(PRow_v) ) + 1 //-----