Forum Jump

Select Group :
Select Forum :
Sorted By :
Sort Order :
From The :
 
Thread Tools  Search this thread 
Henry Bruce (Intel)
Total Points:
10
Registered User
November 9, 2009 11:31 AM PST
Looking for optimized sliding window helper functions
I have not been able to find any optimized sliding window helper functions. As an example, I'd like to run a filter over 128 accelermeter samples. On the next iteration, I'd to add 4 new samples and remove the 4 oldset samples (i.e. standard sliding window behavior). What is the optimal way of doing this?
Chao Y (Intel)
Total Points:
4,089
Status Points:
3,589
Brown Belt
November 22, 2009 10:15 PM PST
Rate
 
#1
I have not been able to find any optimized sliding window helper functions. As an example, I'd like to run a filter over 128 accelermeter samples. On the next iteration, I'd to add 4 new samples and remove the 4 oldset samples (i.e. standard sliding window behavior). What is the optimal way of doing this?



Hi,

See some comment from the expert:

It is not clear what kind of filter the code wants to apply, If it is simple FIR, please check FIR MR with corresponding up/down Factors.

Thanks,
Chao



Intel Software Network Forums Statistics

8487 users have contributed to 31622 threads and 100698 posts to date.
In the past 24 hours, we have 35 new thread(s) 121 new posts(s), and 186 new user(s).

In the past 3 days, the most popular thread for everyone has been gemm(A,A,A) like possible? The most posts were made to gemm(A,A,A) like possible? The post with the most views is Dear Steve, excuse me for a d

Please welcome our newest member chat1983