How to normalize(compensate) pulse signal?

Hi all,

I want to build up algorithm to normalize my pulse signal.

What I considered ways are:

1. Find the max value from each 10 pulses
2. Use the max value to calculate the ratio with each signals which lower than the max (e.g. max=1.0, so a 0.1 signal's ratio= 1.0/0.1=10)
3. All of the signals will multiple to each signals speicific ratio (e.g. max=1.0, a 0.1 signal become= 0.1*10)

Ten pulses graphe

Latest max value

Here is the recent code I have right now, which can obtain the latest max value from 10 pulses

fs = 50000; % 50 kHz frequency
Ts = 1/fs*10^9; % sample rate in neno seconds
t = 1:Ts;
pulse = t<=5;
amp = [0.1, 0.3, 0.5, 0.5, 0.6, 1, 0.2, 0.8, 0.1, 0.4].';
sig = pulse.*amp;
sig = reshape(sig', [], 1);
t_total = 1:numel(sig);
max_val = zeros(size(sig)); % save maximum value at each time step;
max_val(1) = sig(1); % first maximum value is the first sample of sig
for i=2:numel(max_val)
    if sig(i) > max_val(i-1)
        max_val(i) = sig(i);
    else
        max_val(i) = max_val(i-1);
    end
end
t_total = 1:numel(sig);
figure;
plot(t_total, sig);
xlabel('Time (ns)');
ylabel('Amplitude');
figure;
plot(t_total, max_val);
xlabel('Time (ns)');
ylabel('Amplitude');

Answer 1

[Darshan Manjunathrao Chawan]

In your code what is your energy of the pulse. If you know energy of the pulse then, you can use below formula

Normalpulse = sinpulse./sqrt(Energy of the pulse)

Consider for example if you have sine pulse.