blob: 8e89ed4e231644012dd0d1c200aba154d3fe1cc3 [file] [log] [blame]
/*
* Copyright (C) 2010 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.
*/
#include "Window.h"
#include <stdlib.h>
#include <math.h>
void Window::windowCreate(int size) {
if (mWindowWeights && (mWindowSize < size)) {
delete [] mWindowWeights;
mWindowWeights = NULL;
mWindowSize = 0;
}
if (!mWindowWeights) {
mWindowWeights = new float[size];
}
if (mWindowSize != size) {
double arg = M_PI * 2.0 / size;
mWindowSize = size;
for (int i = 0; i < size; ++i) {
mWindowWeights[i] = 0.5 - (0.5 * cos((i + 0.5) * arg));
}
}
}
void Window::windowCleanup() {
mWindowSize = 0;
delete [] mWindowWeights;
mWindowWeights = NULL;
}
/* Multiply the signal in data by the window weights. Place the
resulting mWindowSize floating-point values in output. If preemp
is != 0.0, apply a 1st-order preemphasis filter, and assume that
there are mWindowSize+1 samples available in data. */
void Window::window(short* data, float* output, float preemp) {
if (preemp == 0.0) {
for (int i = 0; i < mWindowSize; ++i)
output[i] = data[i] * mWindowWeights[i];
} else {
for (int i = 0; i < mWindowSize; ++i)
output[i] = (data[i+1] - (preemp * data[i])) * mWindowWeights[i];
}
}