Vectorized Adaptive noise canceler using LMS filter
by
Kiran Kintali
07 Sep 2007
(Updated
14 Aug 2008)
This demo shows to call external functions in an Embedded MATLAB block

treesum_fcn(u) 
function y = treesum_fcn(u)
%Implement the 'sum' function without a forloop
% y = sum(u);
% The loop based implemntation of 'sum' function is not ideal for
% HDL generation and results in a longer critical path.
% A tree is more efficient as it results in
% delay of log2(N) instead of a delay of N delay
% This implementation shows how to explicitly implement the vector sum in
% a tree shape to enable hardware optimizations.
% The ideal way to code this generically for any length of 'u' is to use
% recursion but it is not currently supported by Embedded MATLAB
% NOTE: To instruct Embedded MATLAB to compile an external function,
% add the following compilation directive or pragma to the function code
%#eml
% Please note that this implementation is hardwired for a 40tap filter.
%20
level1 = vsum(u);
%10
level2 = vsum(level1);
%5
level3 = vsum(level2);
%3
level4 = vsum(level3);
%2
level5 = vsum(level4);
%1
level6 = vsum(level5);
y = level6;
function output = vsum(input)
nt = numerictype(input);
fm = fimath(input);
nd = numel(input)/2;
vt = input(1:2:end);
for i = int32(1:nd)
k = int32(i*2);
vt(i) = fi(vt(i) + input(k), nt, fm);
end
output = vt;


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