May 30, 2014 · I don’t know enough about your data to model it. It is a reasonably easy function to code. First, do a probability estimate with hist or histc, and use those results to fit your data. I suggest setting M=1, m=1, alpha=1, and solve for eta using a nonlinear curve-fitting function or fminsearch. When you have those data, you can define your ...

Sep 25, 2011 · The command plots the graph of SNR Versus the Probability of Error using random signal (noise).

This section discusses and demonstrates tools you can use to create error rate plots, modify them to suit your needs, and perform curve fitting on the error rate data and the plots. Creation of Error Rate Plots Using semilogy Function. In many error rate plots, the horizontal axis indicates E b /N 0 values in dB, and the vertical axis indicates ...

May 21, 2018 · I have two vectors of dimension (130,1).One for the transmitted data and the other the received data. Using the following code I have obtained the BER and the number of errors in the vector. The problem is I have no idea how to proceed with plotting the BER vs SNR curve.

Aug 5, 2007 · Matlab/Octave source code for computing the bit error rate with BPSK modulation from theory and simulation. The code performs the following: (a) Generation of random BPSK modulated symbols +1’s and -1’s. (b) Passing them through Additive White Gaussian Noise channel. (c) Demodulation of the received symbol based on the location in the constellation

Apr 25, 2023 · When I run the code there are no errors, but the code was running for many hours and after a while I decided to stop it from running. Does it usually take many hours to produce a BER vs SNR plot for an OFDM with BPSK modulation transmitter and receiver?

Apr 6, 2020 · In this post, we will use MATLAB to simulate the capacity, outage and BER performance of a two user NOMA network by following a more realistic model namely, Rayleigh fading model. The MATLAB code to plot BER, capacity and outage probability of NOMA are also available for download in this page. So, let's get started!

probplot(y) creates a normal probability plot comparing the distribution of the data in y to the normal distribution. probplot plots each data point in y using marker symbols and draws a reference line that represents the theoretical distribution. If the sample data has a normal distribution, then the data points appear along the reference line.

Jul 17, 2012 · May be you are asking about semilogy() function in MATLAB. Just type doc semilogy, you will get all the required information. If you want to plot BER plots of standard modulation schemes, then you can also use bertool.

Jan 31, 2018 · I wrote this code for comparing manually calculated BER and theoretical BER graphically. The manually calculated BER (err) is always 1x1 value and I want it as a range of values corresponding to SNR values. I also replaced this line: err=error+1; with this line: err(k)=error+1; and still not working. Can anybody solve this problem? Here is the ...