code: public static Kernel1D_F32 table1D_F32(int radius, boolean normalized) {
  		Kernel1D_F32 ret = new Kernel1D_F32(radius * 2 + 1);
  
  		float val = normalized ? 1.0f / ret.width : 1.0f;
  
  		for (int i = 0; i < ret.data.length; i++) {
  			ret.data[i] = val;
  		}
  
  		return ret;
  	}
docs: <p>
  Create an floating point table convolution kernel.  If un-normalized then all
  the elements are equal to one, otherwise they are equal to one over the width.
  </p>
  
  <p>
  See {@link boofcv.alg.filter.convolve.ConvolveImageBox} or {@link boofcv.alg.filter.convolve.ConvolveImageMean} for faster ways to convolve these kernels.
  </p>
  
  @param radius kernel's radius.
  @return table kernel.