annotate src/ltpda_smoother/ltpda_smoother.c @ 49:0bcdf74587d1 database-connection-manager

Cleanup
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 07 Dec 2011 17:24:36 +0100
parents f0afece42f48
children
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 #include <math.h>
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2 #include <stdio.h>
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3 #include <stdlib.h>
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4 #include <string.h>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 #include <mex.h>
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6
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7 #include "version.h"
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8 #include "ltpda_smoother.h"
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9 #include "quick.c"
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10
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11 #define DEBUG 0
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12 /*
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13 * A smoother function that uses various methods to smooth data.
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14 *
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15 * M Hewitson 28-08-01
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16 *
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17 * $Id: ltpda_smoother.c,v 1.4 2008/09/25 08:16:16 hewitson Exp $
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18 */
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19
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20
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21 /*
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22 function sy = ltpda_smoother(y, bw, ol, method);
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23
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24 */
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25 void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
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26 {
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27 int status;
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28 int buff_len;
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29
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30 /* outputs */
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31 double *outputPtr;
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32 double *nxx;
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33 int a;
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34
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35 /* inputs */
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36 double *xx;
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37 int bw;
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38 double ol;
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39 int nx;
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40 char *method;
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41
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42 /* parse input functions */
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43
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44 if( (nrhs == 0) || (nlhs == 0) )
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45 {
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46 print_usage(VERSION);
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47 }
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48
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49 if( (nrhs == 4) && (nlhs == 1) )/* let's go */
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50 {
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51 /*----------------- set inputs*/
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52 xx = mxGetPr(prhs[0]);
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53 bw = (int)floor(mxGetScalar(prhs[1]));
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54 ol = mxGetScalar(prhs[2]);
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55 nx = mxGetNumberOfElements(prhs[0]);
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56
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57 /* Read the method*/
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58 buff_len = (mxGetM(prhs[3]) * mxGetN(prhs[3])) + 1;
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59 method = mxCalloc(buff_len, sizeof(char));
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60 status = mxGetString(prhs[3], method, buff_len);
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61 if(status != 0)
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62 mexWarnMsgTxt("Not enough space. String is truncated.");
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63
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64 /* create output vector*/
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65 nxx = (double*)mxCalloc(nx, sizeof(double));
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66
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67 /* nfest*/
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68 smooth(nxx, xx, nx, bw, ol, method);
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69
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70 /* output noise-floor vector*/
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71 plhs[0] = mxCreateDoubleMatrix(1,nx,mxREAL);
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72 outputPtr = mxGetPr(plhs[0]);
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73 for(a=0; a<nx; a++)
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74 outputPtr[a] = nxx[a];
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75
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76 mxFree(nxx);
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77 }
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78 else
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79 {
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80 print_usage(VERSION);
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81 }
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82 }
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83
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84 void print_usage(char *version)
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85 {
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86 mexPrintf("ltpda_smoother version %s\n", version);
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87 mexPrintf(" usage: function sy = ltpda_smoother(y, bw, ol, method); \n");
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88 mexErrMsgTxt("### incorrect usage");
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89 }
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 /*
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91 * Smoother
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92 */
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93 int smooth(double *nxx, double *xx, int nx, int bw, double ol, char *method)
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94 {
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95 int k, j, idx;
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96 int hbw;
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97 double *seg;
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98
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99 seg = (double*)mxCalloc(bw+1, sizeof(double));
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100
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101 /* go through each element */
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102 for(k=0; k<nx; k++)
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103 {
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104 /* get segment*/
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105 for(j=0; j<=bw; j++)
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106 {
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107 idx = k+j-bw/2;
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108 if (idx<0)
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109 idx = 0;
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110 if (idx>=nx)
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111 idx = nx-1;
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112 seg[j] = xx[idx];
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113 }
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114 /* sort segment*/
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115 quickSort(seg, bw-1);
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116 /* stop index*/
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117 idx = (int)floor(ol*bw);
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118 /* Which smoothing method? */
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119 if (strcmp(method, "median")==0)
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120 {
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121 /* make median estimate of selected samples */
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122 nxx[k] = median(seg, idx);
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123 }
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124 else if (strcmp(method, "mean")==0)
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125 {
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126 /* make mean estimate of selected samples */
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127 nxx[k] = mean(seg, idx);
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128 }
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129 else if (strcmp(method, "min")==0)
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130 {
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131 /* make min estimate of selected samples */
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132 nxx[k] = smin(seg, idx);
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133 }
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134 else if (strcmp(method, "max")==0)
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135 {
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136 /* make max estimate of selected samples */
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137 nxx[k] = smax(seg, idx);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 }
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139 }
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Daniele Nicolodi <nicolodi@science.unitn.it>
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140
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141 /* Clean up */
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 mxFree(seg);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143
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144 return 0;
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145 }
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146
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147
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148 double smin(double *x, int nx)
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149 {
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150 double m;
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151 int j;
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152
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153 m = x[0];
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154
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155 for (j=1; j<nx; j++)
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156 if (x[j] < m)
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157 m = x[j];
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158
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159 return m;
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160 }
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161
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162 double smax(double *x, int nx)
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163 {
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Daniele Nicolodi <nicolodi@science.unitn.it>
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164 double m;
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165 int j;
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166
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Daniele Nicolodi <nicolodi@science.unitn.it>
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167 m = x[0];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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168
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Daniele Nicolodi <nicolodi@science.unitn.it>
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169 for (j=1; j<nx; j++)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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170 if (x[j] > m)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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171 m = x[j];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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172
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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173 return m;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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174 }
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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175
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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176 double mean(double *x, int nx)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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177 {
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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178 int j;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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179 double sx = 0.0;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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180
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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181 for (j=0; j<nx; j++)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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182 sx += x[j];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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183
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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184 return sx/nx;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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185 }
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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186
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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187 double median(double *x, int nx)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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188 {
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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189 double m;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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190
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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191 if (nx%2 == 0) /* even*/
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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192 m = (x[nx/2] + x[nx/2 -1])/2.0;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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193 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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194 m = x[(nx-1)/2];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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195
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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196 return m;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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197 }