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if you look at the first equation listed in https://en.wikipedia.org/wiki/Friis_transmission_equation you see that they write proploss as (Lambda/(4*pi*R))^2, where R is the distance between the two antennas. This is the part of the equation that deals with the fact that energy is spreading in...
Unfortunately, it is not possible to give you a direct answer, since your requirements are inconsistent. You asked that the variable be (1) normally distributed, and (2) bounded by 0 and 1.
In a rigorous sense, any normally distributed variable is bounded by -inf and +inf. You can see that by...
Summing, multiplying, and dividing uncorrelated random variables is handled in this paper. See Examples 6,7, and 8.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1026999&isnumber=22050
Dual-polarized phased arrays is an area that's receiving a lot of attention, and there are still relatively few solutions to the engineering and signal processing issues associated with them.
I can NOT understand
Gandalf -
This board works much better if you can pose a specific question.
Google has many results for general tutorials on patch antenna design and feed networks. As written, your question really does come across as vfone interpreted it
Guys - Nothing personal, but I'm not interested in PMing each other. I am here to contribute to the forum by helping introduce you to signal processing in Matlab in a practical way.
I am not here to have you email me code to debug.
Do you guys have a link to a reference for what you are...
When Matlab calculates the FFT, arranges the frequency axis with f=0 (i.e. DC component) as the start point.
We are used to seeing DC as the center of the graph, so all fftshift does is swap the left and right halfs of the data so that the zero frequency part is in the middle.
This is good to...
In reality, Matlab is not performing a true fourier transform. Rather, it is performing a discrete fourier transform.
In order to unambiguously measure a frequency, you must take at least two samples per period. This means that my sampling rate limits how high a frequency I can measure.
The...
Welcome to Matlab! You will find that it is extremely useful for this type of analysis. It has many built-in capabilities for transforming between frequency and time domain.
The thing to remember is that Matlab does everything numerically, not symbolically. As a result, you usually end up...
You have to lowpass the data first, otherwise you will get too many false troughs
Here's an example script I threw together:
Added after 8 seconds:
%Create a signal that looks kinda like yours
t = 1:1000;
noise = randn(1,length(signal));
signal = 10*sin(.02*t) + 4*sin(.05*t)+noise;
%Output...
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