matlab code for SNR vs BER plot

snr matlab

hello people
can anyone tell me how to plot snr vs ber for wireless communication channels using matlab code or simulink..
i ll be gratefull

ber plot

hi
visit the following site
http://www.dsplog.com/2007/08/05/bit-error-probability-for-bpsk-modulation/
hope this will be useful

ber snr matlab

i need perfect address of the topic

matlab snr

the function in matlab to calculate the bit error rate is
[num ty]=symerr(x,z)

Re: snr matlab

hi, try this!
i have takeen it from communication tool box.

%% Setup
% Define parameters.
M = 16; % Size of signal constellation
k = log2(M); % Number of bits per symbol
n = 3e4; % Number of bits to process
nsamp = 1; % Oversampling rate

%% Signal Source
% Create a binary data stream as a column vector.
x = randint(n,1); % Random binary data stream

% Plot first 40 bits in a stem plot.
stem(x(1:40),'filled');
title('Random Bits');
xlabel('Bit Index'); ylabel('Binary Value');
%% Bit-to-Symbol Mapping
% Convert the bits in x into k-bit symbols.
xsym = bi2de(reshape(x,k,length(x)/k).','left-msb');

%% Stem Plot of Symbols
% Plot first 10 symbols in a stem plot.
figure; % Create new figure window.
stem(xsym(1:10));
title('Random Symbols');
xlabel('Symbol Index'); ylabel('Integer Value');

%% Modulation
% Modulate using 16-QAM.
y = qammod(xsym,M);
%% Transmitted Signal
ytx = y;

%% Channel
% Send signal over an AWGN channel.
EbNo = 10; % In dB
snr = EbNo + 10*log10(k) - 10*log10(nsamp);
ynoisy = awgn(ytx,snr,'measured');

%% Received Signal
yrx = ynoisy;

%% Scatter Plot
% Create scatter plot of noisy signal and transmitted
% signal on the same axes.
h = scatterplot(yrx(1:nsamp*5e3),nsamp,0,'g.');
hold on;
scatterplot(ytx(1:5e3),1,0,'k*',h);
title('Received Signal');
legend('Received Signal','Signal Constellation');
axis([-5 5 -5 5]); % Set axis ranges.
hold off
% Demodulation
% Demodulate signal using 16-QAM.
zsym = qamdemod(yrx,M);
%% Symbol-to-Bit Mapping
% Undo the bit-to-symbol mapping performed earlier.
z = de2bi(zsym,'left-msb'); % Convert integers to bits.
% Convert z from a matrix to a vector.
z = reshape(z.',prod(size(z)),1);
%% BER Computation
% Compare x and z to obtain the number of errors and
% the bit error rate.
[errors,errorrate] = biterr(x,z);
semilogy(snr,errorrate);