Mercurial > hg > smallbox
comparison util/Rice Wavelet Toolbox/midwt_r.c @ 78:f69ae88b8be5
added Rice Wavelet Toolbox with my modification, so it can be compiled on newer systems.
author | Ivan Damnjanovic lnx <ivan.damnjanovic@eecs.qmul.ac.uk> |
---|---|
date | Fri, 25 Mar 2011 15:27:33 +0000 |
parents | |
children |
comparison
equal
deleted
inserted
replaced
76:d052ec5b742f | 78:f69ae88b8be5 |
---|---|
1 /* | |
2 File Name: MIDWT.c | |
3 Last Modification Date: 06/14/95 13:01:15 | |
4 Current Version: MIDWT.c 2.4 | |
5 File Creation Date: Wed Oct 12 08:44:43 1994 | |
6 Author: Markus Lang <lang@jazz.rice.edu> | |
7 | |
8 Copyright (c) 2000 RICE UNIVERSITY. All rights reserved. | |
9 Created by Markus Lang, Department of ECE, Rice University. | |
10 | |
11 This software is distributed and licensed to you on a non-exclusive | |
12 basis, free-of-charge. Redistribution and use in source and binary forms, | |
13 with or without modification, are permitted provided that the following | |
14 conditions are met: | |
15 | |
16 1. Redistribution of source code must retain the above copyright notice, | |
17 this list of conditions and the following disclaimer. | |
18 2. Redistribution in binary form must reproduce the above copyright notice, | |
19 this list of conditions and the following disclaimer in the | |
20 documentation and/or other materials provided with the distribution. | |
21 3. All advertising materials mentioning features or use of this software | |
22 must display the following acknowledgment: This product includes | |
23 software developed by Rice University, Houston, Texas and its contributors. | |
24 4. Neither the name of the University nor the names of its contributors | |
25 may be used to endorse or promote products derived from this software | |
26 without specific prior written permission. | |
27 | |
28 THIS SOFTWARE IS PROVIDED BY WILLIAM MARSH RICE UNIVERSITY, HOUSTON, TEXAS, | |
29 AND CONTRIBUTORS AS IS AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, | |
30 BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS | |
31 FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL RICE UNIVERSITY | |
32 OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, | |
33 EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, | |
34 PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; | |
35 OR BUSINESS INTERRUPTIONS) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, | |
36 WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR | |
37 OTHERWISE), PRODUCT LIABILITY, OR OTHERWISE ARISING IN ANY WAY OUT OF THE | |
38 USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
39 | |
40 For information on commercial licenses, contact Rice University's Office of | |
41 Technology Transfer at techtran@rice.edu or (713) 348-6173 | |
42 | |
43 Change History: Fixed the code such that 1D vectors passed to it can be in | |
44 either passed as a row or column vector. Also took care of | |
45 the code such that it will compile with both under standard | |
46 C compilers as well as for ANSI C compilers | |
47 Jan Erik Odegard <odegard@ece.rice.edu> Wed Jun 14 1995 | |
48 | |
49 Fix minor bug to allow maximum number of levels | |
50 | |
51 decription of the matlab call: | |
52 %y = midwt(x,h,L); | |
53 % | |
54 % function computes the inverse discrete wavelet transform y for a 1D or 2D | |
55 % input signal x. | |
56 % | |
57 % Input: | |
58 % x : finite length 1D or 2D input signal (implicitely periodized) | |
59 % h : scaling filter | |
60 % L : number of levels. in case of a 1D signal length(x) must be | |
61 % divisible by 2^L; in case of a 2D signal the row and the | |
62 % column dimension must be divisible by 2^L. | |
63 % | |
64 % see also: mdwt, mrdwt, mirdwt | |
65 | |
66 */ | |
67 | |
68 #include <math.h> | |
69 #include <stdio.h> | |
70 #include <inttypes.h> | |
71 | |
72 #define max(A,B) (A > B ? A : B) | |
73 #define mat(a, i, j) (*(a + (m*(j)+i))) /* macro for matrix indices */ | |
74 | |
75 | |
76 #ifdef __STDC__ | |
77 MIDWT(double *x, uintptr_t m, uintptr_t n, double *h, uintptr_t lh, uintptr_t L, double *y) | |
78 #else | |
79 MIDWT(x, m, n, h, lh, L, y) | |
80 double *x, *h, *y; | |
81 uintptr_t m, n, lh, L; | |
82 #endif | |
83 { | |
84 double *g0, *g1, *ydummyl, *ydummyh, *xdummy; | |
85 uintptr_t i, j; | |
86 uintptr_t actual_L, actual_m, actual_n, r_o_a, c_o_a, ir, ic, lhm1, lhhm1, sample_f; | |
87 xdummy = (double *)(uintptr_t)mxCalloc(max(m,n),sizeof(double)); | |
88 ydummyl = (double *)(uintptr_t)mxCalloc(max(m,n)+lh/2-1,sizeof(double)); | |
89 ydummyh = (double *)(uintptr_t)mxCalloc(max(m,n)+lh/2-1,sizeof(double)); | |
90 g0 = (double *)(uintptr_t)mxCalloc(lh,sizeof(double)); | |
91 g1 = (double *)(uintptr_t)mxCalloc(lh,sizeof(double)); | |
92 | |
93 if (n==1){ | |
94 n = m; | |
95 m = 1; | |
96 } | |
97 /* synthesis lowpass and highpass */ | |
98 for (i=0; i<lh; i++){ | |
99 g0[i] = h[i]; | |
100 g1[i] = h[lh-i-1]; | |
101 } | |
102 for (i=1; i<=lh; i+=2) | |
103 g1[i] = -g1[i]; | |
104 | |
105 lhm1 = lh - 1; | |
106 lhhm1 = lh/2 - 1; | |
107 /* 2^L */ | |
108 sample_f = 1; | |
109 for (i=1; i<L; i++) | |
110 sample_f = sample_f*2; | |
111 | |
112 if (m>1) | |
113 actual_m = m/sample_f; | |
114 else | |
115 actual_m = 1; | |
116 actual_n = n/sample_f; | |
117 | |
118 for (i=0; i<(m*n); i++) | |
119 x[i] = y[i]; | |
120 | |
121 /* main loop */ | |
122 for (actual_L=L; actual_L >= 1; actual_L--){ | |
123 r_o_a = actual_m/2; | |
124 c_o_a = actual_n/2; | |
125 | |
126 /* go by columns in case of a 2D signal*/ | |
127 if (m>1){ | |
128 for (ic=0; ic<actual_n; ic++){ /* loop over column */ | |
129 /* store in dummy variables */ | |
130 ir = r_o_a; | |
131 for (i=0; i<r_o_a; i++){ | |
132 ydummyl[i+lhhm1] = mat(x, i, ic); | |
133 ydummyh[i+lhhm1] = mat(x, ir++, ic); | |
134 } | |
135 /* perform filtering lowpass and highpass*/ | |
136 bpsconv(xdummy, r_o_a, g0, g1, lhm1, lhhm1, ydummyl, ydummyh); | |
137 /* restore dummy variables in matrix */ | |
138 for (i=0; i<actual_m; i++) | |
139 mat(x, i, ic) = xdummy[i]; | |
140 } | |
141 } | |
142 /* go by rows */ | |
143 for (ir=0; ir<actual_m; ir++){ /* loop over rows */ | |
144 /* store in dummy variable */ | |
145 ic = c_o_a; | |
146 for (i=0; i<c_o_a; i++){ | |
147 ydummyl[i+lhhm1] = mat(x, ir, i); | |
148 ydummyh[i+lhhm1] = mat(x, ir, ic++); | |
149 } | |
150 /* perform filtering lowpass and highpass*/ | |
151 bpsconv(xdummy, c_o_a, g0, g1, lhm1, lhhm1, ydummyl, ydummyh); | |
152 /* restore dummy variables in matrices */ | |
153 for (i=0; i<actual_n; i++) | |
154 mat(x, ir, i) = xdummy[i]; | |
155 } | |
156 if (m==1) | |
157 actual_m = 1; | |
158 else | |
159 actual_m = actual_m*2; | |
160 actual_n = actual_n*2; | |
161 } | |
162 } | |
163 | |
164 #ifdef __STDC__ | |
165 bpsconv(double *x_out, uintptr_t lx, double *g0, double *g1, uintptr_t lhm1, | |
166 uintptr_t lhhm1, double *x_inl, double *x_inh) | |
167 #else | |
168 bpsconv(x_out, lx, g0, g1, lhm1, lhhm1, x_inl, x_inh) | |
169 double *x_inl, *x_inh, *g0, *g1, *x_out; | |
170 uintptr_t lx, lhm1, lhhm1; | |
171 #endif | |
172 { | |
173 uintptr_t i, j, ind, tj; | |
174 double x0, x1; | |
175 | |
176 for (i=lhhm1-1; i > -1; i--){ | |
177 x_inl[i] = x_inl[lx+i]; | |
178 x_inh[i] = x_inh[lx+i]; | |
179 } | |
180 ind = 0; | |
181 for (i=0; i<(lx); i++){ | |
182 x0 = 0; | |
183 x1 = 0; | |
184 tj = -2; | |
185 for (j=0; j<=lhhm1; j++){ | |
186 tj+=2; | |
187 x0 = x0 + x_inl[i+j]*g0[lhm1-1-tj] + x_inh[i+j]*g1[lhm1-1-tj] ; | |
188 x1 = x1 + x_inl[i+j]*g0[lhm1-tj] + x_inh[i+j]*g1[lhm1-tj] ; | |
189 } | |
190 x_out[ind++] = x0; | |
191 x_out[ind++] = x1; | |
192 } | |
193 } |