Matlab R2016b

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Inna Kogan
Inna Kogan 2017년 9월 2일
답변: Niguse 2025년 5월 15일
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
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Oguzhan
Oguzhan 2023년 5월 17일
Yes you can install

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답변 (3개)

KALYAN ACHARJYA
KALYAN ACHARJYA 2017년 9월 2일
Yes, Matlab R2016b is compatible with CVX. You can get it from your lab instructor(licensed).

ANN MARIYA PETER ANN MARIYA PETER
ANN MARIYA PETER ANN MARIYA PETER 2019년 10월 14일
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 2025년 5월 15일
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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