Physics 114: Lecture 20 2D Data Analysis. Dale E. Gary NJIT Physics Department. Reminder 1D Convolution and Smoothing. Let’s create a noisy sine wave: u = -5:.1:5; w = sin(u*pi)+0.5* randn (size(u)); plot( u,w ) We can now smooth the data by convolving
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Dale E. Gary
NJIT Physics Department
it with a vector [1,1,1], which does a 3-point
Name Size Bytes Class Attributes
wsm 1x103 824 double
value of cx by 0.05 due to our limited
as edge detection. For example, we can
convolve with a kernel k = [1,1,1,1,1,1].
a kernel k = eye(6). Or k = rot90(eye(6)).