2008
DOI: 10.1109/tsp.2007.914926
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FPGA Realization of FIR Filters by Efficient and Flexible Systolization Using Distributed Arithmetic

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Cited by 162 publications
(75 citation statements)
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“…Note that Xilinx FIR compiler 5.0 supports the multiple channels with only uniform bandwidth and the same coefficients set whereas the proposed FIR filter supports the multiple channels with different bandwidths. It should also be known that the proposed FIR filter can support filtering for 16 channels with a small overhead of only 7 DSP48Es and 5% more slice registers compared to the best of the existing systolic structures [13] whereas the design of [13] supports only the single channel. …”
Section: Results and Performancementioning
confidence: 99%
“…Note that Xilinx FIR compiler 5.0 supports the multiple channels with only uniform bandwidth and the same coefficients set whereas the proposed FIR filter supports the multiple channels with different bandwidths. It should also be known that the proposed FIR filter can support filtering for 16 channels with a small overhead of only 7 DSP48Es and 5% more slice registers compared to the best of the existing systolic structures [13] whereas the design of [13] supports only the single channel. …”
Section: Results and Performancementioning
confidence: 99%
“…Daitx et al [5] proposed a VHDL approach for designing of optimized FIR filters where the general coefficient representation for the optimal sharing of partial products in multiple constants multiplications is used. Meher et al [6] reported the design optimization of one and two dimensional fully pipelined computing structures for area delay-power-efficient implementation of FIR filter by using the systolic decomposition of distributed arithmetic based inner product computation. The main components of digital FIR filters design on FPGAs are the register bank to save the samples of signals, adder to implement sum operations and multiplier for multiplication of filter coefficients to signal [7].…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, for DA-based (multiplierless) implementation of FIR filters, the memory requirement increases exponentially with the filter order. Hence the complexity of FIR implementation grows with the filter order and the precision of computation; therefore the real-time realization of these filters with desired level of accuracy is a challenging task [6].…”
Section: Introductionmentioning
confidence: 99%
“…Such solutions can be advantageous in many domains. Among others, in coding standards, where scaling is oriented to variable-size hardware operations, like the Discrete Wavelet Transform (DWT) presented in [2], the variable-size Discrete Cosine Transform (DCT) in [3] or in motion estimation and filters [4], and also, in tasks scaling for multi-standard communication systems [5] and [6].…”
Section: Introductionmentioning
confidence: 99%
“…First, all the proposals are focused on offering solutions to specific problems or applications. Apart from the ones described in this section, other examples of concrete purpose scalable works are the template matching reconfigurable architecture presented in [15], the FIR filter in [4] or the image filter in [7]. Second, the reconfigurable architecture implementations and the design flows do not permit to completely release the area that is not used by the core.…”
Section: Introductionmentioning
confidence: 99%