Abstract
In this brief, one-dimensional (1-D) and two-dimensional (2D) fast algorithms for realizing the center weighted Hadamard transform (CWHT) are proposed. Based on the Kronecker product and direct sum operations, the proposed 1-D and 2-D CWHT algorithms through matrix decompositions require fewer computations than the existing methods. With low complexity and regular modularity, the proposed algorithms are suitable for VLSI implementation to achieve real-time signal processing and compression.
Original language | English |
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Pages (from-to) | 429-432 |
Number of pages | 4 |
Journal | IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing |
Volume | 45 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1998 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering