Abstract
In this paper, a block-based filtering technique for discrete-time signal is introduced. A Block-Mirrored signal model which reduces the error caused by the signal truncation due to the block-based processing is proposed and an overlap-add technique is used to reduce blocking effects. Since data blocks can be processed independently, parallel filtering can be used to enhance the processing speed and to reduce the hardware requirement. Computer simulations and some restrictions of using this technique are also discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 1364-1367 |
| Number of pages | 4 |
| Journal | Proceedings - IEEE International Symposium on Circuits and Systems |
| Volume | 2 |
| Publication status | Published - 1995 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
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Class of linear cyclic-invariant filter for parallel filtering of discrete-time signals. / Su, Wen-Yu; Liau, Shyi Ching.
In: Proceedings - IEEE International Symposium on Circuits and Systems, Vol. 2, 1995, p. 1364-1367.Research output: Contribution to journal › Article
TY - JOUR
T1 - Class of linear cyclic-invariant filter for parallel filtering of discrete-time signals
AU - Su, Wen-Yu
AU - Liau, Shyi Ching
PY - 1995
Y1 - 1995
N2 - In this paper, a block-based filtering technique for discrete-time signal is introduced. A Block-Mirrored signal model which reduces the error caused by the signal truncation due to the block-based processing is proposed and an overlap-add technique is used to reduce blocking effects. Since data blocks can be processed independently, parallel filtering can be used to enhance the processing speed and to reduce the hardware requirement. Computer simulations and some restrictions of using this technique are also discussed.
AB - In this paper, a block-based filtering technique for discrete-time signal is introduced. A Block-Mirrored signal model which reduces the error caused by the signal truncation due to the block-based processing is proposed and an overlap-add technique is used to reduce blocking effects. Since data blocks can be processed independently, parallel filtering can be used to enhance the processing speed and to reduce the hardware requirement. Computer simulations and some restrictions of using this technique are also discussed.
UR - http://www.scopus.com/inward/record.url?scp=0029191999&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029191999&partnerID=8YFLogxK
M3 - Article
VL - 2
SP - 1364
EP - 1367
JO - Proceedings - IEEE International Symposium on Circuits and Systems
JF - Proceedings - IEEE International Symposium on Circuits and Systems
SN - 0271-4310
ER -