%Code written by Namrata Vaswani
%If you use this code, please cite: 
%N. Vaswani, Kalman Filtered Compressed Sensing, ICIP 2008
%N. Vaswani, Analyzing Kalman Filtered Compressed Sensing, submitted to Allerton 2008

1. More general code than older one. Can simulate any system. Edit gendata_full.m as needed
2. Includes deletion step as explained in submitted paper.

%To run the code: runsims_final, 
%set run_kfcs = 1 to run kfcs, genie kf, edit save command as desired
%set run_cs = 1 to run regularcs, regularcs_no_noise, edit save command
%data saved in different files: see save command

Important files
runsims_final.m
gendata_full.m 
kfcs_full.m  (always run regularcs_no_noise at t=1)
cs_solve.m: noisy and noiseless CS code (noisy CS: Dantzig selector)

%regular CS (Dantzig Selector): regularcs : usually larger errors than regularcs_no_noise
%regular CS (thresholds no noise case): regularcs_no_noise
%Genie-aided KF: geniekf
%Full KF: fullkf


