Rolling Distinct Counts

We have a table with the following columns:

SESSION_ID      USER_ID          CONNECT_TS
--------------  ---------------  ---------------
1               99               2013-01-01 2:23:33
2               101              2013-01-01 2:23:55
3               104              2013-01-01 2:24:41
4               101              2013-01-01 2:24:43
5               233              2013-01-01 2:25:01

We need to get a distinct count of users for each day and a distinct count of users that have used the application within 45 days of each day. Is this possible using Splunk?