alibConcatR
Concatenates arrays along any dimension. The API here is aimed at horizontal concatenation of matrices, but depending on how parameters are interpreted, this same memory manipulation can represent concatenation of
n-dimensional arrays along any dimension. Note though that for concatenation along the leading dimension or along a trailing degenerate dimension, it is computationally more efficient to use
alibConcat or
alibInterleave. The common uses of this routine are:
Concatenates (
k,*) matrices to make a bigger (
k,*) matrix.
Concatenates
n-dimensional arrays along a middle dimension or the trailing dimension.
The PV-WAVE API for this routine is the
Array Concatenation Operators [ ].
Prototypes
void alibConcatRb( wvlong k, wvlong m, wvlong *n, UCHAR **p, UCHAR *q )
void alibConcatRs( wvlong k, wvlong m, wvlong *n, short **p, short *q )
void alibConcatRi( wvlong k, wvlong m, wvlong *n, int **p, int *q )
void alibConcatRl( wvlong k, wvlong m, wvlong *n, wvlong **p, wvlong *q )
void alibConcatRf( wvlong k, wvlong m, wvlong *n, float **p, float *q )
void alibConcatRd( wvlong k, wvlong m, wvlong *n, double **p, double *q )
void alibConcatRc( wvlong k, wvlong m, wvlong *n, COMPLEX **p, COMPLEX *q )
void alibConcatRz( wvlong k, wvlong m, wvlong *n, DCOMPLEX **p, DCOMPLEX *q )
Parameters
k — (Input) The number of rows in the matrices to be concatenated, or for general n-dimensional concatenations, k equals the product of all dimensions preceding the dimension along which concatenation takes place.
m — (Input) The number of arrays to be concatenated.
*n — (Input) The m-element array where n[i] is the number of columns in the ith matrix to be concatenated, or for general n-dimensional concatenations, n[i] is the number of elements in the ith array divided by k.
**p — (Input) The m-element array of pointers to the source arrays. The number of elements in array p[i] is k*n[i].
*q — (Input/Output) The destination array. On return, array q contains the concatenation of the m source arrays p.
Example
The following examples show horizontal concatenation of matrices as well as concatenations along middle and trailing dimensions in higher-dimensional arrays.
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include "alib.h"
void main() { /* make enough example input data to use for all the
/* examples */
wvlong n[3];
UCHAR *b, b0[32], b1[32], b2[32], *bi[3]={b0,b1,b2}; alibinit( NULL, NULL, NULL, NULL );
alibIndexb( 32, 0, 1, b0 );
alibIndexb( 32, 100, 1, b1 );
alibIndexb( 32, 200, 1, b2 );
/* make an output array big enough for all the examples */
b = (UCHAR*)malloc(128*sizeof(UCHAR));
printf( "\n\n show (4,2) matrix b0" );
alibPrintArrayb( 1, 1, 4, 2, b0, NULL);
printf( "\n\n show (4,1) matrix b1" );
alibPrintArrayb( 1, 1, 4, 1, b1, NULL);
printf( "\n\n show (4,3) matrix b2" );
alibPrintArrayb( 1, 1, 4, 3, b2, NULL);
printf( "\n\n concatenate b0, b1, and b2 into (4,6) matrix b" );
n[0] = 2;
n[1] = 1;
n[2] = 3;
alibConcatRb( 4, 3, n, bi, b );
alibPrintArrayb( 1, 1, 4, 6, b, NULL);
printf( "\n\n show (3,4,2) array b0" );
alibPrintArrayb( 1, 3, 4, 2, b0, NULL);
printf( "\n\n show (3,5,2) array b1" );
alibPrintArrayb( 1, 3, 5, 2, b1, NULL);
printf( "\n\n concatenate b0 and b1 into (3,9,2) array b" );
n[0] = 8;
n[1] = 10;
alibConcatRb( 3, 2, n, bi, b );
alibPrintArrayb( 1, 3, 9, 2, b, NULL);
printf( "\n\n show (4,2,3) array b0" );
alibPrintArrayb( 1, 4, 2, 3, b0, NULL);
printf( "\n\n show (4,2,2) array b1" );
alibPrintArrayb( 1, 4, 2, 2, b1, NULL);
printf( "\n\n concatenate b0 and b1 into (4,2,5) array b" );
n[0] = 3;
n[1] = 2;
alibConcatRb( 8, 2, n, bi, b );
alibPrintArrayb( 1, 4, 2, 5, b, NULL);
printf( "\n\n show (2,2,4,2) array b0" );
alibPrintArrayb( 2, 2, 4, 2, b0, NULL);
printf( "\n\n show (2,2,3,2) array b1" );
alibPrintArrayb( 2, 2, 3, 2, b1, NULL);
printf( "\n\n concatenate b0 and b1 into (2,2,7,2) array b" );
n[0] = 8;
n[1] = 6;
alibConcatRb( 4, 2, n, bi, b );
alibPrintArrayb( 2, 2, 7, 2, b, NULL);
}
Output:
show (4,2) matrix b0
0 1
2 3
4 5
6 7
show (4,1) matrix b1
100
101
102
103
show (4,3) matrix b2
200 201 202
203 204 205
206 207 208
209 210 211
concatenate b0, b1, and b2 into (4,6) matrix b
0 1 100 200 201 202
2 3 101 203 204 205
4 5 102 206 207 208
6 7 103 209 210 211
show (3,4,2) array b0
0 1
2 3
4 5
6 7
8 9
10 11
12 13
14 15
16 17
18 19
20 21
22 23
show (3,5,2) array b1
100 101
102 103
104 105
106 107
108 109
110 111
112 113
114 115
116 117
118 119
120 121
122 123
124 125
126 127
128 129
concatenate b0 and b1 into (3,9,2) array b
0 1
2 3
4 5
6 7
100 101
102 103
104 105
106 107
108 109
8 9
10 11
12 13
14 15
110 111
112 113
114 115
116 117
118 119
16 17
18 19
20 21
22 23
120 121
122 123
124 125
126 127
128 129
show (4,2,3) array b0
0 1 2
3 4 5
6 7 8
9 10 11
12 13 14
15 16 17
18 19 20
21 22 23
show (4,2,2) array b1
100 101
102 103
104 105
106 107
108 109
110 111
112 113
114 115
concatenate b0 and b1 into (4,2,5) array b
0 1 2 100 101
3 4 5 102 103
6 7 8 104 105
9 10 11 106 107
12 13 14 108 109
15 16 17 110 111
18 19 20 112 113
21 22 23 114 115
show (2,2,4,2) array b0
0 1
2 3
4 5
6 7
8 9
10 11
12 13
14 15
16 17
18 19
20 21
22 23
24 25
26 27
28 29
30 31
show (2,2,3,2) array b1
100 101
102 103
104 105
106 107
108 109
110 111
112 113
114 115
116 117
118 119
120 121
122 123
concatenate b0 and b1 into (2,2,7,2) array b
0 1
2 3
4 5
6 7
100 101
102 103
104 105
8 9
10 11
12 13
14 15
106 107
108 109
110 111
16 17
18 19
20 21
22 23
112 113
114 115
116 117
24 25
26 27
28 29
30 31
118 119
120 121
122 123
Version 2017.0
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