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Author	SHA1	Message	Date
leo	201c9ee5c1	p3: add plots	2023-03-15 20:02:47 +01:00
leo	628e107f21	p3: visualise explicit theta	2023-03-15 20:03:49 +01:00
leo	94b7d61f16	p3: add calculated data	2023-03-15 20:02:05 +01:00
leo	49359cc549	p3(run.go): actually call explicit least squares	2023-03-15 20:00:51 +01:00
leo	97cf99e988	p3(readme): correct p2 -> p3	2023-03-15 19:58:57 +01:00
leo	033fdd77a9	p3(lrls): redo how explicit works	2023-03-15 19:57:59 +01:00
leo	f3a15203a6	fix(p3(data.go)): don't return data on err	2023-03-15 19:52:46 +01:00
leo	733a318415	p3(data.go): return simple nils on err	2023-03-15 19:52:15 +01:00
leo	b07eead130	p3(data.go): set initial slice size to our needs	2023-03-15 19:29:58 +01:00
leo	a5a6d08f83	p3(visualise.py): update titles,labels	2023-03-15 19:00:59 +01:00
leo	a232dd2500	gitignore: ignore binaries in p2,p3	2023-03-13 20:22:58 +01:00
leo	2233a971ae	p3: add data/explicit_{theta,error}.csv	2023-03-12 23:56:42 +01:00
leo	0744ef9605	p3: add data/{u,y}.csv	2023-03-12 23:55:54 +01:00
leo	ab30f97100	p3: implement Explicit LSq ... ... including visualisation add matlab script and a way to run it.	2023-03-12 23:53:42 +01:00
leo	ac11b9dc2f	p3: stop printing useless stuff	2023-03-12 16:23:56 +01:00
leo	8634f9851d	p3: add pics	2023-03-12 16:22:29 +01:00
leo	82b91b5c6a	p3: make visualise.py useful	2023-03-12 16:21:26 +01:00
leo	e80fcaa5ca	update readme	2023-03-12 16:19:21 +01:00
leo	6e337ad6fa	p3: add theta{,T{,_p{0,1,2,3}}}, estim. err files	2023-03-12 16:18:22 +01:00
leo	455b7ab5e0	p3: add data/m.csv	2023-03-12 16:15:31 +01:00
leo	c1295f0d74	p3: implement Recursive Least Squares estimation	2023-03-12 16:13:45 +01:00
leo	7bbc50acff	p3: estimates -> theta	2023-03-12 00:46:25 +01:00
leo	c8a2cfcd17	p3: rename *fi -> *phi	2023-03-10 15:24:09 +01:00
leo	7048c93448	p3(lrls/helper.go): correctly replacing w/ diagMat	2023-03-10 10:44:47 +01:00
leo	e49dbbfc39	p3(lrls/helper.go): fix 0 slice size	2023-03-08 23:26:46 +01:00
leo	ea406f5b56	p3: change return values	2023-03-06 18:51:15 +01:00
leo	ae69b3e306	p3(lrls/helper.go): add addTheta,addFi funcs	2023-03-05 17:50:13 +01:00
leo	a44f8def21	p3: add lrls/helper.go	2023-03-05 17:48:31 +01:00
leo	0d66b660bb	p3: add lrls package	2023-03-05 14:25:13 +01:00
leo	7973f63473	flake,go,pre-commit: add p3	2023-03-04 14:51:37 +01:00
leo	9910d77026	p2: update readme	2023-02-27 04:27:46 +01:00
leo	5927e4d86d	p2: add alternative way to get matrix product	2023-02-27 04:10:44 +01:00
leo	f20ada00a2	p2: calculate impulseFunc using autocorrels	2023-02-27 04:09:01 +01:00
leo	e6fcc5dfbc	p2: add correlation func	2023-02-27 04:08:01 +01:00
leo	9aaf015fac	p2(visualise): better titles	2023-02-27 04:05:29 +01:00
leo	cad05f6864	p2(visualise): add plot comparison	2023-02-27 02:54:30 +01:00
leo	eff30ef628	p2(visualise): note about customness	2023-02-27 02:54:03 +01:00
leo	e6d4abe0aa	p2(visualise): use 2nd order fit	2023-02-27 02:53:01 +01:00
leo	531b2f50c3	p2: correct impulse func data	2023-02-27 02:28:20 +01:00
leo	c54e5a342b	p2(visualise): add mutual/auto-correlation	2023-02-27 02:18:27 +01:00
leo	a46d1403c3	p2: add a way to run visualise.py cmd	2023-02-27 02:16:43 +01:00
leo	07b91ea5e4	p2: edit visualisation labels	2023-02-27 01:39:09 +01:00
leo	8c99960c35	p2: make autocorrelation always positive	2023-02-27 01:36:36 +01:00
leo	c9834c4059	readme: update instructions	2023-02-26 21:26:58 +01:00
leo	c3f9185077	p2: calculate impulse func estimate ... * add visualisation code * add pic	2023-02-26 21:20:40 +01:00
leo	c3070cd2c0	p2: add a way to estimate impulse function	2023-02-26 20:43:55 +01:00
leo	67a9d55311	p2: return nil slice on err	2023-02-26 18:01:31 +01:00
leo	129f33c9a6	p2: calculate/save covariance	2023-02-26 17:39:39 +01:00
leo	102454e6e1	add visualise.py, update readme.md	2023-02-25 23:52:51 +01:00
leo	a01e63d2a8	p2: add p2.m	2023-02-25 22:22:46 +01:00