This a collection of MATLAB functions for extended Kalman filtering, unscented Kalman filtering, particle filtering, and miscellaneous other things. These utilities are designed for reuse and I have found them very useful in many projects. The code has been vectorised for speed and is stable and fast.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.001752s ]
SELECT `a`.`aid`,`a`.`title`,`a`.`create_time`,`m`.`username` FROM `jrk_downrecords` `a` INNER JOIN `jrk_member` `m` ON `a`.`uid`=`m`.`id` WHERE `a`.`status` = 1 GROUP BY `a`.`aid` ORDER BY `a`.`create_time` DESC LIMIT 10 [ RunTime:0.089656s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.001044s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.001147s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.001016s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.003113s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.000915s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.003846s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.015700s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.002771s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 366111 [ RunTime:0.018002s ]
