文件列表:

Vold-kalman算法\Condition Monitoring of electrical machinery by using Vold-Kalman.doc (12860864, 2012-12-08)
Vold-kalman算法\Condition Monitoring of electrical machinery by using Vold-Kalman.pdf (4182936, 2012-12-08)
Vold-kalman算法\my_vk\MyAdapt1.m (1531, 2010-11-24)
Vold-kalman算法\my_vk\MyAdapt1.p (336, 2010-11-24)
Vold-kalman算法\my_vk\MyAdapt2.m (1588, 2010-11-24)
Vold-kalman算法\my_vk\MyAdapt2.p (380, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman1.m (1299, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman1.p (254, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman2.m (1581, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman2.p (269, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman3.m (1432, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman3.p (313, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman4.m (1505, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman4.p (318, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman5.m (1771, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman5.p (355, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman7.m (2164, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman7.p (602, 2010-11-24)
Vold-kalman算法\my_vk\MyVoldKalman_MyAdapt.zip (9880, 2012-12-10)
Vold-kalman算法\VibraTools User guide Rev 7.0.2.pdf (269596, 2012-12-08)
Vold-kalman算法\vk_pkg\license.txt (1333, 2011-08-23)
Vold-kalman算法\vk_pkg\vk_pkg\demos\test_ord_trk1.m (1574, 2015-11-23)
Vold-kalman算法\vk_pkg\vk_pkg\demos\test_ord_trk2.m (1997, 2011-05-02)
Vold-kalman算法\vk_pkg\vk_pkg\hann_p.m (338, 2011-05-06)
Vold-kalman算法\vk_pkg\vk_pkg\p_gram.m (3395, 2011-05-06)
Vold-kalman算法\vk_pkg\vk_pkg\spec_plot2.m (2865, 2011-05-06)
Vold-kalman算法\vk_pkg\vk_pkg\vk2.m (2152, 2011-05-06)
Vold-kalman算法\vk_pkg\vk_pkg\vkm.m (3887, 2015-11-16)
Vold-kalman算法\VoldKalman.pdf (608318, 2012-12-10)
Vold-kalman算法\vk_pkg\vk_pkg\demos (0, 2016-05-03)
Vold-kalman算法\vk_pkg\vk_pkg (0, 2016-05-03)
Vold-kalman算法\my_vk (0, 2016-05-03)
Vold-kalman算法\vk_pkg (0, 2016-05-03)
Vold-kalman算法 (0, 2016-05-03)

Vold-Kalman second generation, multi-order, simultaneous order tracking code (vkm.m). This method is valid for extracting multiple crossing orders. Written by Scot McNeill because I got tired of not having access to the V-K method for my research and decided to program it myself. Prof. Jiri Tuma has posted m-code for the single-order routine (MyVoldKalman2.m) in publications on his website [1]. Note that MyVoldKalman2.m was also published in a Matlab conference paper. However, the M-code for the simultaneous, multi-order implementation [2] was not posted. Note that Prof. Tuma posted p-files for all his V-K routines, including simultaneous, multi-order tracking routine. The P-files didn't work on my vintage of Matlab (2007a), so I just decided to implement [2] myself. I provide this first-draft implementation (vkm.m) for other researchers. M-code is provided. The additional routine, vk2.m, which does second generation, single-order, noncrossing order tracking is based on MyVoldKalman2.m [1]. vk2.m is provided as a comparison to vkm.m. Thanks to Prof. Tuma for making his concise matlab routine (MyVoldKalman2.m) available in his publications. This implementation has not been rigorously tested and is made available as-is. It is the user's responsibility to verify output of the routine. To get started, run the m-files in the demos folder. References: [1] J. Tuma, Vold-Kalman order tracking filtration, PDF presentation slides online at http://homel.vsb.cz/~tum52/index.php?page=download [2] C. Feldbauer and R. Holdrich, Realization of a Vold-Kalman filter - A least squares approach, Proceedings of the COST G-6 conference on digital audia effects (DAFX-00), Verona, Italy, December 7-9, 2000. Available online at http://iem.at/projekte/publications/paper/dafx_feldbauer_hoeldrich2/dafx_feldbauer_hoeldrich2.pdf

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：