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A New Algorithm to Compute the Discrete Cosine Transform. VLSI Signal Processing 台灣大學電機系 吳安宇. 1. B. G. Lee “A new algorithm to compute the discrete cosine trnsform,” IEEE Trans. Acoust., Speech, Signal Processing , vol. ASSP-32, pp.1243-1245, Dec. 84
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A New Algorithm to Compute theDiscrete Cosine Transform VLSI Signal Processing 台灣大學電機系 吳安宇 1. B. G. Lee “A new algorithm to compute the discrete cosine trnsform,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-32, pp.1243-1245, Dec. 84 2. W. H. Chen, C. H. Smith, and S. C. Fralick, “A fast computational algorithm for the discrete cosine transform,” IEEE Trans. Commun., vol. COM-25, pp.1004-1009, Sept. 77
N-Point IDCT • Decomposing into even and odd indexes of n, we define
Using the trigonometric identity to rearrange Rearrange for Decimation in Time
N-Point IDCT Architecture • Take transpose form, we can obtain DCT architecture
Unified Parallel Lattice Structuresfor Time-Recursive DiscreteCosine/Sine/Hartley Transform VLSI Signal Processing 台灣大學電機系 吳安宇 1. K. J. R. Liu and C.T. Chiu “Unified parallel lattice structures for time-recursive discrete cosine/sine/Hartley transform,” IEEE Trans. Signal Processing,vol. SP-41, pp. 1357-1377, March 93.
DCT at time t • Decompose in • and DCT at time (t+1) (See Fig. 1) Time-Recursive DCT
DST at time t • Decompose in • and DST at time (t+1) (See Fig. 1) Time-Recursive DCT
Time Recursive Relationship The relationship between the and the data sequence
Special Case for k=0 for the DCT and k=N for the DST
Architectural Comparison Lee Our approach I/O Operation Architecture Communication Hardware cost Operating frequency PIPO Modular Global Large, O(Nlog2N) fs / N SIPO Modulare and Regular Local Small, O(N) fs fs : Input data rate Architecture Comparison 1. K. J. R. Liu and C.T. Chiu “Unified parallel lattice structures for time-recursive discrete cosine/sine/Hartley transform,” IEEE Trans. Signal Processing, vol. SP-41, pp. 1357-1377, March 93. 2. B. G. Lee “A new algorithm to compute the discrete cosine trnsform,”, IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-32, pp.1243-1245, Dec. 84