Programmer Guide/Command Reference/EVAL/map2map: Difference between revisions
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---- | ---- | ||
;Usage 1:<code>map2map(<var>type</var>, <var>x</var>, <var>nc</var>)</code> | ;Usage 1:<code>map2map(<var>type</var>, <var>x</var>, <var>nc</var>)</code> | ||
:;<var>type</var>this argument must be set to '''0'''; it will be used in future to select the format of input data and/or the remapping algorithm | :;<var>type</var>: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 | ||
:;<var>x</var>a NxM matrix containing the input map | :;<var>x</var>a NxM matrix containing the input map | ||
:;<var>nc</var>a vector with length N; the value ''nc''[i] specifies the number of used columns in the row ''x''[i,*] of the input map | :;<var>nc</var>a vector with length N; the value ''nc''[i] specifies the number of used columns in the row ''x''[i,*] of the input map | ||
::<code>2 <= ''nc''[i] <= M; with: i=0..N-1</code> | ::<code>2 <= ''nc''[i] <= M; with: i=0..N-1</code> | ||
;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 | ||
:;<var> | ;Result 1:A NxM matrix containing the interpolated map ''y''. | ||
;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: | ;Usage 1:<code>map2map(<var>type</var>, <var>x</var>, <var>nc</var>)</code> | ||
:;<var>type, x, nc</var>:see '''Usage 1''' | |||
:;<var>pr</var>a vector with length N; the value ''nc''[i] specifies the number of used columns in the row ''x''[i,*] of the input map | |||
::<code>2 <= ''nc''[i] <= M; with: i=0..N-1</code> | |||
;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''. | |||
---- | |||
;See also: [[Programmer_Guide/Command_Reference/EVAL/rpolyreg|rpolyreg]], [[Programmer_Guide/Command_Reference/EVAL/qinterp|qinterp]], [[Programmer_Guide/Command_Reference/EVAL/ | ;See also: [[Programmer_Guide/Command_Reference/EVAL/rpolyreg|rpolyreg]], [[Programmer_Guide/Command_Reference/EVAL/qinterp|qinterp]], [[Programmer_Guide/Command_Reference/EVAL/interp|interp]] | ||
[[Programmer_Guide/Command_Reference/EVAL#Functions|<function list>]] | [[Programmer_Guide/Command_Reference/EVAL#Functions|<function list>]] | ||
Revision as of 10:35, 12 April 2011
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
- 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
- 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 //-----
