INDEX EXCEEDS THE NUMBER OF ARRAY ELEMENTS.
% Load the signal data from the text file using the load command with the -ascii option
x = load(‘Lab7data1.txt’, ‘-ascii’);
% Plot the signal
%figure;
%plot(x);
%xlabel(‘Sample’);
%ylabel(‘Amplitude’);
%title(‘Original Signal’);
%grid on;
% Calculate the length of the signal in samples
signal_length = length(x);
num_periods = 100;
% Estimate the number of samples per period
samples_per_period = signal_length / num_periods;
% Check Nyquist condition
if samples_per_period >= 2
disp(‘Nyquist sampling rate is satisfied.’);
else
disp(‘Nyquist sampling rate is not satisfied.’);
end
% Calculate the current sampling rate
current_sampling_rate = 1 / samples_per_period;
% Estimate the down-sampling factor needed to reduce the sampling rate to
% the Nyquist
downsampling_factor = ceil(current_sampling_rate / 2);
% Down-sample the signal
downsampled_signal = x(1:downsampling_factor:end);
% Define the x-values for the down-sampled signal
downsampled_indices = 1:downsampling_factor:signal_length;
% Make sure the lengths match
if length(downsampled_indices) ~= length(downsampled_signal)
downsampled_indices = downsampled_indices(1:length(downsampled_signal));
end
% Interpolate the down-sampled signal to up-sample it
up_sampled_signal = interp1(downsampled_indices, downsampled_signal, 1:signal_length,’linear’);
% Plot both the original and down-sampled signals
figure;
plot(1:signal_length, x, ‘b’, ‘DisplayName’, ‘Original Signal’);
hold on;
plot(downsampled_signal, ‘ro’, ‘DisplayName’, ‘Down-sampled Signal’);
plot(up_sampled_signal, ‘g’, ‘DisplayName’, ‘Up-sampled Signal (Linear Interpolation)’);
hold off;
xlabel(‘Sample’);
ylabel(‘Amplitude’);
title(‘Original vs Down-sampled Signal vs Up-sampled Signal’);
legend(‘Location’, ‘best’);
grid on;% Load the signal data from the text file using the load command with the -ascii option
x = load(‘Lab7data1.txt’, ‘-ascii’);
% Plot the signal
%figure;
%plot(x);
%xlabel(‘Sample’);
%ylabel(‘Amplitude’);
%title(‘Original Signal’);
%grid on;
% Calculate the length of the signal in samples
signal_length = length(x);
num_periods = 100;
% Estimate the number of samples per period
samples_per_period = signal_length / num_periods;
% Check Nyquist condition
if samples_per_period >= 2
disp(‘Nyquist sampling rate is satisfied.’);
else
disp(‘Nyquist sampling rate is not satisfied.’);
end
% Calculate the current sampling rate
current_sampling_rate = 1 / samples_per_period;
% Estimate the down-sampling factor needed to reduce the sampling rate to
% the Nyquist
downsampling_factor = ceil(current_sampling_rate / 2);
% Down-sample the signal
downsampled_signal = x(1:downsampling_factor:end);
% Define the x-values for the down-sampled signal
downsampled_indices = 1:downsampling_factor:signal_length;
% Make sure the lengths match
if length(downsampled_indices) ~= length(downsampled_signal)
downsampled_indices = downsampled_indices(1:length(downsampled_signal));
end
% Interpolate the down-sampled signal to up-sample it
up_sampled_signal = interp1(downsampled_indices, downsampled_signal, 1:signal_length,’linear’);
% Plot both the original and down-sampled signals
figure;
plot(1:signal_length, x, ‘b’, ‘DisplayName’, ‘Original Signal’);
hold on;
plot(downsampled_signal, ‘ro’, ‘DisplayName’, ‘Down-sampled Signal’);
plot(up_sampled_signal, ‘g’, ‘DisplayName’, ‘Up-sampled Signal (Linear Interpolation)’);
hold off;
xlabel(‘Sample’);
ylabel(‘Amplitude’);
title(‘Original vs Down-sampled Signal vs Up-sampled Signal’);
legend(‘Location’, ‘best’);
grid on; % Load the signal data from the text file using the load command with the -ascii option
x = load(‘Lab7data1.txt’, ‘-ascii’);
% Plot the signal
%figure;
%plot(x);
%xlabel(‘Sample’);
%ylabel(‘Amplitude’);
%title(‘Original Signal’);
%grid on;
% Calculate the length of the signal in samples
signal_length = length(x);
num_periods = 100;
% Estimate the number of samples per period
samples_per_period = signal_length / num_periods;
% Check Nyquist condition
if samples_per_period >= 2
disp(‘Nyquist sampling rate is satisfied.’);
else
disp(‘Nyquist sampling rate is not satisfied.’);
end
% Calculate the current sampling rate
current_sampling_rate = 1 / samples_per_period;
% Estimate the down-sampling factor needed to reduce the sampling rate to
% the Nyquist
downsampling_factor = ceil(current_sampling_rate / 2);
% Down-sample the signal
downsampled_signal = x(1:downsampling_factor:end);
% Define the x-values for the down-sampled signal
downsampled_indices = 1:downsampling_factor:signal_length;
% Make sure the lengths match
if length(downsampled_indices) ~= length(downsampled_signal)
downsampled_indices = downsampled_indices(1:length(downsampled_signal));
end
% Interpolate the down-sampled signal to up-sample it
up_sampled_signal = interp1(downsampled_indices, downsampled_signal, 1:signal_length,’linear’);
% Plot both the original and down-sampled signals
figure;
plot(1:signal_length, x, ‘b’, ‘DisplayName’, ‘Original Signal’);
hold on;
plot(downsampled_signal, ‘ro’, ‘DisplayName’, ‘Down-sampled Signal’);
plot(up_sampled_signal, ‘g’, ‘DisplayName’, ‘Up-sampled Signal (Linear Interpolation)’);
hold off;
xlabel(‘Sample’);
ylabel(‘Amplitude’);
title(‘Original vs Down-sampled Signal vs Up-sampled Signal’);
legend(‘Location’, ‘best’);
grid on; array element MATLAB Answers — New Questions