code: function gaussian(src, s, kernelSize) {
      if (typeof s === 'undefined') s = 1;
      if (typeof kernelSize === 'undefined') kernelSize = 7;
      var kernel = gaussianKernel1D(s, kernelSize),
          l = kernelSize || kernel.length,
          kernelH = [kernel],
          kernelV = new Array(l);
      for (var i = 0; i < l; i++) {
          kernelV[i] = [kernel[i]];
      }
      return convolve(convolve(src, kernelH), kernelV);
  }
docs: Perform Gaussian smoothing.
  
  @param {Number[][]} src
  The source array to convolve. A nonzero-sized rectangular array of numbers.
  @param {Number} [s=1]
  The standard deviation of the Gaussian kernel to use. Higher values result
  in smoothing across more cells of the src matrix.
  @param {Number} [kernelSize=7]
  The size of the Gaussian kernel to use. Larger kernels result in slower
  but more accurate smoothing.
  
  @return {Number[][]}
  An array containing the result of smoothing the src.