cskm
所属分类：matlab编程
开发工具：matlab
文件大小：36KB
下载次数：11
上传日期：2014-04-15 21:20:03
上 传 者：
zl198801
说明： 一种基于压缩感知理论的卡曼滤波，仿真结果很不错
(Based on the theory of compressed sensing Kalman filter, the simulation results is very good)
文件列表:
cskm\cs.m (2368, 2008-01-12)
cskm\cskf.m (2775, 2008-01-14)
cskm\cskf_auto.m (3075, 2008-01-14)
cskm\cskf_auto2.m (3475, 2008-06-24)
cskm\cskf_auto_T1unknown.m (4199, 2008-06-24)
cskm\cs_solve.m (1471, 2008-06-24)
cskm\fullkf.m (515, 2008-01-14)
cskm\gendata.m (812, 2008-01-13)
cskm\gendata_full.m (2375, 2008-07-11)
cskm\geniekf.m (1400, 2008-06-25)
cskm\geniekf_full.m (983, 2008-06-25)
cskm\kfconverge.m (921, 2008-06-16)
cskm\kfcs_full.m (4969, 2008-09-21)
cskm\KFCS_new.zip (18963, 2014-03-27)
cskm\MATfiles.m (348, 2008-07-04)
cskm\ncs.m (2947, 2008-01-12)
cskm\partial_cs.m (2480, 2008-01-13)
cskm\regularcs.m (307, 2008-06-24)
cskm\regularcs_no_noise.m (458, 2008-06-24)
cskm\runsims2.m (2749, 2008-06-24)
cskm\runsims_final.m (2751, 2014-03-28)
cskm\temp.m (2449, 2008-07-11)
cskm (0, 2014-04-11)
%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
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