/* * Copyright 2012, The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ //#define LOG_NDEBUG 0 #define LOG_TAG "LinearRegression" #include #include "include/LinearRegression.h" #include #include namespace android { LinearRegression::LinearRegression(size_t historySize) : mHistorySize(historySize), mCount(0), mHistory(new Point[mHistorySize]), mSumX(0.0), mSumY(0.0) { } LinearRegression::~LinearRegression() { delete[] mHistory; mHistory = NULL; } void LinearRegression::addPoint(float x, float y) { if (mCount == mHistorySize) { const Point &oldest = mHistory[0]; mSumX -= oldest.mX; mSumY -= oldest.mY; memmove(&mHistory[0], &mHistory[1], (mHistorySize - 1) * sizeof(Point)); --mCount; } Point *newest = &mHistory[mCount++]; newest->mX = x; newest->mY = y; mSumX += x; mSumY += y; } bool LinearRegression::approxLine(float *n1, float *n2, float *b) const { static const float kEpsilon = 1.0E-4; if (mCount < 2) { return false; } float sumX2 = 0.0f; float sumY2 = 0.0f; float sumXY = 0.0f; float meanX = mSumX / (float)mCount; float meanY = mSumY / (float)mCount; for (size_t i = 0; i < mCount; ++i) { const Point &p = mHistory[i]; float x = p.mX - meanX; float y = p.mY - meanY; sumX2 += x * x; sumY2 += y * y; sumXY += x * y; } float T = sumX2 + sumY2; float D = sumX2 * sumY2 - sumXY * sumXY; float root = sqrt(T * T * 0.25 - D); float L1 = T * 0.5 - root; if (fabs(sumXY) > kEpsilon) { *n1 = 1.0; *n2 = (2.0 * L1 - sumX2) / sumXY; float mag = sqrt((*n1) * (*n1) + (*n2) * (*n2)); *n1 /= mag; *n2 /= mag; } else { *n1 = 0.0; *n2 = 1.0; } *b = (*n1) * meanX + (*n2) * meanY; return true; } } // namespace android