For a broadband, narrowband AR process and sum of sinusoids evaluate spectral estimates by evaluating various parameters using appropriate method such as yule walker
Choose the spectral estimation method from the numbered Simulation Page options:
1. Spectral Estimation using AR-Modeled Yule-Walker Method: Click to open a new window and perform spectral estimation of the input signal using the AR-Modeled (autoregressive) Yule-Walker method.
2. Compare Different Spectral Estimation Methods with AR-Modeled Yule-Walker Method: Click to open a new window to compare the PSD of the input signal across multiple methods, including Periodogram, Correlogram, Bartlett, Blackman-Tukey, Welch, and AR-Modeled Yule-Walker.
Input Parameters:
Input Signal(s): Specify and input the frequency values of the signal(s).
Operations: Use the input field to select various operations, such as Fourier addition, subtraction, multiplication, and convolution.
AR Model Order(s): Enter the order(s) of the autoregressive (AR) model to compute the power spectral density (PSD).
SNR (in dB): Specify the desired Signal-to-Noise Ratio (SNR) in decibels (dB).
Steps:
1. Generate Input Signal(s):
Click the “Generate Input Signal” button to create the input signals. Choose the base signal, such as a sine wave, cosine wave, and select the operation from the dropdown menus.
2. Display the estimated AR coefficients and the PSD:
Click the “Simulate” button to visualize the estimated AR coefficients and power spectral density (PSD) plot of the noisy input signal.
