2016 IEEE Sixth International Conference on Communications and Electronics (ICCE) 2016
DOI: 10.1109/cce.2016.7562636
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High-performance DCT architecture based on angle recoding CORDIC and Scale-Free Factor

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Cited by 5 publications
(4 citation statements)
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“…Furthermore, the six implementations were built and verified on an Altera FPGA Stratix IV and Stratix II with the chipsets of EP4SGX530KH40C2 and EP2SGX90EF115C3, respectively. Table I gives the SFGs' results in comparison with other works including our previous work in [16]. Table II and Table III give the FPGAs' results on Stratix IV and Stratix II, respectively.…”
Section: Results and Comparisonmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, the six implementations were built and verified on an Altera FPGA Stratix IV and Stratix II with the chipsets of EP4SGX530KH40C2 and EP2SGX90EF115C3, respectively. Table I gives the SFGs' results in comparison with other works including our previous work in [16]. Table II and Table III give the FPGAs' results on Stratix IV and Stratix II, respectively.…”
Section: Results and Comparisonmentioning
confidence: 99%
“…In this paper, the proposed DCT architecture was developed based on the ACor algorithm [15] and the extension of the previous work [16]. Six different versions were implemented based on the number of DCT-point, i.e., 8-point (8p), 16-point (16p), and 32-point (32p), and the number of ACor stages, i.e., 2-Stage (2S) and 3-Stage (3S).…”
Section: Introductionmentioning
confidence: 99%
“…The linear, circular, and hyperbolic CORDIC rotations, the use of BAR guarantees more than 50% reduction of elementary CORDIC rotations provided the scaling factor needs not be kept constant. An on-line CORDIC algorithm with a constant scale factor and latency independent design has been derived through the extension of derivative simplified metrics [12]. Angle quantization (AQ) [13] is used as a design index for vector rotational operation, where the rotational angle with a unified design framework for cost-effective low-latency rotational algorithms and architectures.…”
Section: Introductionmentioning
confidence: 99%
“…The second axe consist on improve the DCT in terms of power consumption ( [5], [6], [7]). In fact, it is well-known that DCT is one of the computationally intensive transforms since it requires many multiplications and additions.…”
Section: Introductionmentioning
confidence: 99%