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.
- Usage 1
map2map(type, x, nc)- type
- this argument must be set to 0; it will be used in future to select the format of the input data and/or the remapping algorithm
- x
- a NxM matrix containing the input map
- nc
- a 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
- 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.
E.g.: The x column
- Result 1
- A NxM matrix containing the interpolated map y.
- Usage 1
map2map(type, x, nc)- type, x, nc
- see Usage 1
- pra 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
- 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 1
- A NxM matrix containing the interpolated map y.
//----- // 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 //-----
