By building a nonlinear function relationship between an d the error signal，this paper presents a no—
vel variable step size LMS(Least Mean Square)adaptive filtering algorithm．
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.001501s ]
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:0.110183s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.001222s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.002064s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.001495s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.004139s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.001012s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.004865s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.025913s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.001851s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 353409 [ RunTime:0.013237s ]
