Matlab R2016b

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Inna Kogan
Inna Kogan am 2 Sep. 2017
Beantwortet: Niguse am 15 Mai 2025
Hi I need to install matlab R2016b so it is compatible with CVX. How do I buy one? mathworks seems to offer only the latest license (R2017A). thanks
  1 Kommentar
Oguzhan
Oguzhan am 17 Mai 2023
Yes you can install

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Antworten (3)

KALYAN ACHARJYA
KALYAN ACHARJYA am 2 Sep. 2017
Yes, Matlab R2016b is compatible with CVX. You can get it from your lab instructor(licensed).

ANN MARIYA PETER ANN MARIYA PETER
t=0:0.1:10
alpha=2
ramp=alpha*t % Your input signal
model=tf(1,[1 20 3]); % Your transfer function
[y,t]=lsim(model,ramp,t)
plot(t,y)

Niguse
Niguse am 15 Mai 2025
clc;
clear;
close all;
%% Parameters
N = 64; % Number of OFDM subcarriers
cp_len = 16; % Cyclic prefix length
num_symbols = 1000; % Number of OFDM symbols
SNR_dB = 0:2:30; % SNR range
mod_schemes = {'BPSK', 'DPSK', 'QPSK'}; % Modulation types
% PLC multipath channel model
plc_channel = [0.9 0.5 0.3];
% Colored noise filter (1st order lowpass)
b_noise = [1 -0.5];
a_noise = [1];
%% Initialize BER result
ber = zeros(length(mod_schemes), length(SNR_dB));
%% Main Simulation
for m = 1:length(mod_schemes)
mod_type = mod_schemes{m};
for idx = 1:length(SNR_dB)
snr = SNR_dB(idx);
total_err = 0;
total_bits = 0;
for sym = 1:num_symbols
%% Data Generation and Modulation
switch mod_type
case 'BPSK'
bits = randi([0 1], N, 1);
symbols = 2*bits - 1; % BPSK: 0→-1, 1→+1
case 'DPSK'
bits = randi([0 1], N, 1);
symbols = dpskmod(bits, 2); % DPSK modulation
case 'QPSK'
bits = randi([0 1], 2*N, 1);
symbols = qammod(bits, 4, 'InputType', 'bit', 'UnitAveragePower', true);
end
%% OFDM Modulation (IFFT + Cyclic Prefix)
ofdm_sym = ifft(symbols, N);
tx_signal = [ofdm_sym(end-cp_len+1:end); ofdm_sym]; % Add cyclic prefix
%% Channel with Colored Noise
chan_out = conv(tx_signal, plc_channel, 'same');
white_noise = randn(size(chan_out));
colored_noise = filter(b_noise, a_noise, white_noise);
noise_power = var(chan_out) / (10^(snr/10));
colored_noise = sqrt(noise_power) * colored_noise;
rx_signal = chan_out + colored_noise;
%% Receiver
rx_no_cp = rx_signal(cp_len+1:cp_len+N); % Remove CP
rx_fft = fft(rx_no_cp, N); % FFT
%% Demodulation
switch mod_type
case 'BPSK'
rx_bits = real(rx_fft) > 0;
total_err = total_err + sum(bits ~= rx_bits);
case 'DPSK'
rx_bits = dpskdemod(rx_fft, 2); % DPSK demodulation
total_err = total_err + sum(bits ~= rx_bits);
case 'QPSK'
rx_bits = qamdemod(rx_fft, 4, 'OutputType', 'bit', 'UnitAveragePower', true);
total_err = total_err + sum(bits ~= rx_bits);
end
% Bit count
switch mod_type
case 'QPSK'
total_bits = total_bits + length(bits);
otherwise
total_bits = total_bits + N;
end
end
ber(m, idx) = total_err / total_bits;
end
end
%% Plotting
figure;
semilogy(SNR_dB, ber(1,:), 'r-o', 'LineWidth', 2); hold on;
semilogy(SNR_dB, ber(2,:), 'b-s', 'LineWidth', 2);
semilogy(SNR_dB, ber(3,:), 'g-^', 'LineWidth', 2);
grid on;
xlabel('SNR (dB)');
ylabel('Bit Error Rate (BER)');
legend('BPSK', 'DPSK', 'QPSK', 'Location', 'southwest');
title('Performance Comparison of OFDM over PLC Channel with Colored Noise');
%% Save the Figure
saveas(gcf, 'OFDM_BER_PLC_Colored_Noise.png'); % PNG format
saveas(gcf, 'OFDM_BER_PLC_Colored_Noise.fig'); % MATLAB figure format
give me the figure for thiscode

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