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首页> 外文期刊>WSEAS Transactions on Circuits and Systems >ASIC Implementation of High Speed Processor for Calculating Discrete Fourier Transformation using Circular Convolution Technique
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ASIC Implementation of High Speed Processor for Calculating Discrete Fourier Transformation using Circular Convolution Technique

机译:高速卷积技术用于离散傅里叶变换的高速处理器的ASIC实现

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摘要

The improvement in speed and power for calculating discrete Fourier transformation using circular convolution is well established, but all the work so far been reported are at FPGA (gate) level. In this paper ASIC implementation of high speed processor for calculating Discrete Fourier Transformation (DFT) based on circular convolution architectures is reported for the first time. The IEEE-754 single precision format was considered for the representation of the twiddle factors. The improvement of the speed for floating point multiplication/addition was achieved by canonical sign digit implementation methodology, which reduced the stages of operation significantly. The functionality of these circuits was checked and performance parameters such as propagation delay, dynamic switching power consumptions were calculated by spice spectre using standard 90nm CMOS technology. The implementation methodology ensure substantial reduction of propagation delay in comparison with systolic array and memory based implementation, most commonly used architectures, reported so far, for DFT processors. The propagation delay of the resulting 16 point DFT processor is only 23.79μs while the power consumption of the same was 14.32mW only for a layout area of ~12mm~2. Almost 50% improvement in speed from earlier reported DFT processors, e.g. systolic array and memory based implementation methodology, has been achieved.
机译:使用循环卷积计算离散傅里叶变换的速度和功率方面的改进已得到充分确立,但到目前为止,所有报告的工作都在FPGA(门)级别进行。本文首次报道了基于圆形卷积架构的离散傅里叶变换(DFT)计算高速处理器的ASIC实现。考虑使用IEEE-754单精度格式来表示旋转因子。浮点乘法/加法速度的提高是通过规范的符号数字实现方法实现的,该方法显着减少了运算阶段。使用标准的90nm CMOS技术,通过香料分析仪检查了这些电路的功能并评估了性能参数,例如传播延迟,动态开关功耗。与迄今为止基于DFT处理器报道的基于脉动阵列和基于存储器的实现(最常用的体系结构)相比,该实现方法可确保大幅减少传播延迟。最终的16点DFT处理器的传播延迟仅为23.79μs,而仅在约12mm〜2的布局面积下,其功耗仅为14.32mW。与早期报道的DFT处理器相比,速度提高了近50%。已经实现了基于脉动阵列和内存的实现方法。

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