gny*_*his 0 optimization performance matlab
有没有一种很好的方法n可以使用矩阵运算加速这个matlab代码块(特别是可能很大)?超过1/4的执行时间是在这个小代码块中.
% Get the bin indexes that we will place the network in
bins = [];
for n=low_freq:0.5:high_freq;
bins = [bins, (n-spec_start)/spec_bin_size+1];
end
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测试代码:
spec_start=2400
spec_bin_size=0.5
low_freq = 2437
high_freq=2438
bins = [];
for n=low_freq:0.5:high_freq;
bins = [bins, (n-spec_start)/spec_bin_size+1];
end
bins % 75 76 77
bins = [];
bins = (low_freq:0.5:high_freq - spec_start)./spec_bin_size + 1;
bins % empty?
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你可以跳过循环:
bins = ((low_freq:0.5:high_freq) - spec_start)./spec_bin_size + 1;
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在如上所述无法进行矢量化计算的情况下,至少应该预先分配输出数组