滑动移动均值滤波简单代码实例

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滑动移动均值滤波简单代码实例

    private  float[] mBufout = null;    private final int mWindowSize = 2;    static float filter_buf[]=  {10,20,30,40,50,60,70,80,90};    // 移动均值滤波，原始数组最后的mwindowSize-1 个元素没有处理。    public float[] movingAverageFilter(float[] buf) {        float[] winArray = new float[mWindowSize];         mBufout = new float[buf.length];         int OIndex = 0;         System.arraycopy(buf, 0, mBufout, 0,                     buf.length);        for (int i = 0; i < buf.length; i++) {            int wIndex = 0;        if ((i + mWindowSize) > buf.length) break;        for (int j = i; j < (mWindowSize + i); j++) {            winArray[wIndex] = buf[j];            wIndex ++;        }        mBufout[OIndex] = mean(winArray);        OIndex ++;    }        return mBufout;    }    public static float mean(float[] array) {        long sum = 0;        for (int i = 0; i < array.length; i++) {            sum += array[i];        }        return (float) (sum / array.length);    }  public static void main(String[] args)  {    test A = new test();     System.out.println("hi test");     float[] ta;     ta =     A.movingAverageFilter(filter_buf);     for(int i =0;i<9;i++) {       System.out.println("after filted:"+ta[i]);     }  }}

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