DATA FILTERING METHOD AND ELECTRONIC DEVICE USING THE SAME

• US 20090283338A1
• Filed: 12/09/2008
• Published: 11/19/2009
• Est. Priority Date: 05/16/2008
• Status: Active Grant

• Current Assignee: Wi-LAN Inc.
• Original Assignee: HTC Corporation
• Inventors: Chen, Hsi-Kun
• Granted Patent: US 9,189,102 B2
• Time in Patent Office: Days
• US Class Current: 178/18.30
• CPC Class Codes: G06F 17/15 Correlation function computation including computation of convolution operations arithmetic circuits for sum of products per se, e.g. multiply-accumulators G06F7/5443; digital filters, e.g. FIR, IIR, adaptive filters H03H17/00
• CPC Class Codes: G06F 3/04182 Filtering of noise external to the device and not generated by digitiser components

Abstract

A data filtering method includes the following steps. First, m pieces of data are identified at first to m^th time points of a plurality of time points, wherein a datum is not identified at an (m 1)^th time point of the time points, and m is a positive integer Then, the identified m pieces of data are removed.

Claims

1. A data filtering method for filtering data identified by an electronic device at a plurality of time points, the method comprising the steps of:

(a) identifying m pieces of data at first to m^th time points of the time points, wherein a datum is not identified at an (m

     1)^th time point of the time points, and m is a positive integer; and

(b) removing the identified m pieces of data.

2. The method according to claim 1, wherein the first to (m 1)^th time points of the time points have equal period of time between two adjacent time points.

3. The method according to claim 1I, further comprising, before the step (b), the step of:

(c) judging whether or not m is smaller than a predetermined value n, performing the step (b) if m is smaller than the predetermined value n, wherein n is a positive integer greater than 1; and

outputting the identified m pieces of data if m is not smaller than n.

4. The method according to claim 1, wherein the step (a) comprises:

sensing the data; and

identifying the data at the time points in an interrupting manner.

5. The method according to claim 1, wherein the step (a) comprises:

sensing the data; and

identifying the data at the time points in a polling manner.

6. An electronic device for filtering data identified at a plurality of time points, the electronic device comprising:

an acquiring unit for identifying m pieces of data at first to m^th time points of the time points, wherein a datum is not identified at an (m

     1)^th time point of the time points, and m is a positive integer; and

a filtering unit for removing the m pieces of data, which are identified by the acquiring unit.

7. The device according to claim 6, wherein the first to (m 1)^th time points of the time points have equal period of time between two adjacent time points.

8. The device according to claim 6, further comprising:

a judging unit for judging whether or not m is smaller than a predetermined value n, wherein n is a positive integer greater than 1;

wherein the filtering unit removes the m pieces of data, which are identified by the acquiring unit, if the judging unit judges that m is smaller than the predetermined value n; and

wherein the filtering unit outputs the m pieces of data, which are identified by the acquiring unit, if the judging unit judges that m is not smaller than the predetermined value n.

9. The device according to claim 6, wherein the acquiring unit identifies the data at the time points in an interrupting manner.

10. The device according to claim 6, wherein the acquiring unit identifies the data at the time points in a polling manner.

11. The device according to claim 6, further comprising:

a sensing unit for sensing the data,

wherein the acquiring unit further identifies the data sensed by the sensing unit.

12. The device according to claim 11, wherein the sensing unit comprises a sensing wheel.

13. A data filtering method, comprising the steps of:

(a) identifying a first detected datum at a first time point; and

(b) judging whether or not a real-time detected datum is identified every one predetermined period, and removing the first detected datum if the real-time detected datum is not identified.

14. The method according to claim 13, wherein the real-time detected data comprise second to (m 2)^th detected data corresponding to second to (m 2)^th time points, m is a positive integer, every two adjacent time points are separated by the predetermined period, and the method comprises, before the step (b), the steps of:

(c1) respectively identifying the second to (m 1 )^th detected data at the second to (m

     1)^th time points;

(c2) failing in identifying the (m

     2)^th detected datum at the (m

     2)^th time point; and

(c3) judging whether or not m is smaller than a predetermined value n, and performing the step (b) if m is smaller than n, wherein n is a positive integer greater than 1.

15. The method according to claim 14, wherein the step (c3) comprises:

removing the identified first to m^th detected data if m is smaller than n.

16. The method according to claim 14, wherein the step (c3) comprises:

outputting the identified first to m^th detected data if m is not smaller than n.

17. The method according to claim 13, wherein the step (a) comprises:

sensing the first detected datum; and

identifying the first detected data in an interrupting manner;

wherein the step (b) comprises;

sensing the real-time detected datum; and

identifying the real-time detected data in the interrupting manner.

18. The method according to claim 13, wherein the step (a) comprises:

sensing the first detected datum; and

identifying the first detected data in a polling manner;

wherein the step (b) comprises;

sensing the real-time detected datum; and

identifying the real-time detected data in the polling manner.