Revision 22:6afcb5edd7ab Peaks.cpp
| Peaks.cpp | ||
|---|---|---|
| 29 | 29 |
if (i < 0) |
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i = 0; |
| 31 | 31 |
int stop = mid + width + 1; |
| 32 |
if (stop > data.size()) |
|
| 32 |
if (stop > (int)data.size())
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|
| 33 | 33 |
stop = data.size(); |
| 34 | 34 |
maxp = i; |
| 35 | 35 |
for (i++; i < stop; i++) |
| ... | ... | |
| 40 | 40 |
for (j = peakCount; j > 0; j--) {
|
| 41 | 41 |
if (data[maxp] <= data[peaks[j-1]]) |
| 42 | 42 |
break; |
| 43 |
else if (j < peaks.size()) |
|
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else if (j < (int)peaks.size())
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| 44 | 44 |
peaks[j] = peaks[j-1]; |
| 45 | 45 |
} |
| 46 |
if (j != peaks.size()) |
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if (j != (int)peaks.size())
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|
| 47 | 47 |
peaks[j] = maxp; |
| 48 |
if (peakCount != peaks.size()) |
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if (peakCount != (int)peaks.size())
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|
| 49 | 49 |
peakCount++; |
| 50 | 50 |
} |
| 51 | 51 |
mid++; |
| ... | ... | |
| 69 | 69 |
if (i < 0) |
| 70 | 70 |
i = 0; |
| 71 | 71 |
int stop = mid + width + 1; |
| 72 |
if (stop > data.size()) |
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if (stop > (int)data.size())
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| 73 | 73 |
stop = data.size(); |
| 74 | 74 |
maxp = i; |
| 75 | 75 |
for (i++; i < stop; i++) |
| ... | ... | |
| 106 | 106 |
if (iStart < 0) |
| 107 | 107 |
iStart = 0; |
| 108 | 108 |
int iStop = index + post * width; |
| 109 |
if (iStop > data.size()) |
|
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if (iStop > (int)data.size())
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|
| 110 | 110 |
iStop = data.size(); |
| 111 | 111 |
double sum = 0; |
| 112 | 112 |
int count = iStop - iStart; |
| ... | ... | |
| 120 | 120 |
void Peaks::normalise(vector<double> &data) {
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| 121 | 121 |
double sx = 0; |
| 122 | 122 |
double sxx = 0; |
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for (int i = 0; i < data.size(); i++) {
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|
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for (int i = 0; i < (int)data.size(); i++) {
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| 124 | 124 |
sx += data[i]; |
| 125 | 125 |
sxx += data[i] * data[i]; |
| 126 | 126 |
} |
| ... | ... | |
| 128 | 128 |
double sd = sqrt((sxx - sx * mean) / data.size()); |
| 129 | 129 |
if (sd == 0) |
| 130 | 130 |
sd = 1; // all data[i] == mean -> 0; avoids div by 0 |
| 131 |
for (int i = 0; i < data.size(); i++) {
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|
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for (int i = 0; i < (int)data.size(); i++) {
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| 132 | 132 |
data[i] = (data[i] - mean) / sd; |
| 133 | 133 |
} |
| 134 | 134 |
} // normalise() |
| ... | ... | |
| 154 | 154 |
double delta = n * sxx - sx * sx; |
| 155 | 155 |
for ( ; j < n / 2; j++) |
| 156 | 156 |
slope[j] = (n * sxy - sx * sy) / delta; |
| 157 |
for ( ; j < data.size() - (n + 1) / 2; j++, i++) {
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|
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for ( ; j < (int)data.size() - (n + 1) / 2; j++, i++) {
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slope[j] = (n * sxy - sx * sy) / delta; |
| 159 | 159 |
sy += data[i] - data[i - n]; |
| 160 | 160 |
sxy += hop * (n * data[i] - sy); |
| 161 | 161 |
} |
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for ( ; j < data.size(); j++) |
|
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for ( ; j < (int)data.size(); j++)
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slope[j] = (n * sxy - sx * sy) / delta; |
| 164 | 164 |
} // getSlope() |
| 165 | 165 |
|
| 166 | 166 |
int Peaks::imin(const vector<double> &arr) {
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| 167 | 167 |
int i = 0; |
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for (int j = 1; j < arr.size(); j++) |
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for (int j = 1; j < (int)arr.size(); j++)
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| 169 | 169 |
if (arr[j] < arr[i]) |
| 170 | 170 |
i = j; |
| 171 | 171 |
return i; |
| ... | ... | |
| 173 | 173 |
|
| 174 | 174 |
int Peaks::imax(const vector<double> &arr) {
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| 175 | 175 |
int i = 0; |
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for (int j = 1; j < arr.size(); j++) |
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for (int j = 1; j < (int)arr.size(); j++)
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| 177 | 177 |
if (arr[j] > arr[i]) |
| 178 | 178 |
i = j; |
| 179 | 179 |
return i; |
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