Time-varying frequency Estimation of narrow-band signals via Extended Kalman Filter and Unscented Kalman Filter
See included paper for more details.
- main_audio.m Performs frequency tracking of 3 audio files at 3 different frequencies. Generates a plot of the estimation.
- main_pi.m Performs analysis of the Performance Index and generates plots and data in the
data/pifolder. Iterates over several values ofqandsigma_noise - main_ri.m performs analysis of the Robustness Index and generates plots and data in the
data/rifolder.
- LOGSPACE determines if the array of sigmas is spaced linearly (
false) or logarithmically (true)
- SAVE_EKF_PLOT if true, generates a video in
generated_video/of the estimation process. - LOG if true, generates a complete log of the values during the estimation
- VERBOSE if true, prints to console the iteration number. Useful in conjunction with
SAVE_EKF_PLOTto check on the progress, which makes the process really slow.
- VERBOSE if true, prints to console the iteration number. Useful in conjunction with
SAVE_EKF_PLOTto check on the progress, which makes the process really slow. - LOG if true, generates a complete log of the values during the estimation
- SAVE_UKF_PLOT if true, generates a video in
generated_video/of the estimation process. - SAVE_SP_PLOT if true, generates a video in
generated_video/showing the motion of sigma points in the state space.
- PLOT_FIT if false, plots raw data cloud. If true, plots the Least Square fit of a hyperbola of the data
- PLOT_PREDICTION if true, generates a video in
generated_video/with an iteration for every frame - PLOT_PROFILE if true, opens a plot with the frequency profile of the generated signal
- COMPUTE if false, just plots without computing, loading previously generated data.