High-Accuracy and Low-Multiplication Recursive Discrete Cosine Transform Algorithm Design and Its Realization in Mel-Scale Frequency Cepstral Coefficients

IF 2.8 2区 工程技术 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Shin-Chi Lai;Szu-Ting Wang;Yi-Chang Zhu;Ying-Hsiu Hung;Jeng-Dao Lee;Wei-Da Chen
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引用次数: 0

Abstract

This brief introduces an innovative recursive discrete cosine transform (DCT) algorithm characterized by its exceptional precision and minimal multiplication requirements. Through the strategic implementation of data reordering and “q” value adjustment schemes, the proposed algorithm entails only a single constant-multiplication operation featuring a fixed cosine coefficient within the iterative phase. By judiciously selecting an appropriate “q” value (q =41), it achieves outstanding results, reaching peak signal-to-noise ratios (PSNRs) of 94.9 and 100.9 dB under 18-bit and 20-bit word length (WL) conditions, respectively, in terms of decimal places. Notably, the proposed algorithm substantially diminishes the number of multiplications by 86.08%, offset by an increase of 2688 additions. The proposed design has a simpler structure and utilizes fewer hardware resources. In field programmable gate array (FPGA) implementation, the device is composed of 43 combinational adaptive look-up tables (ALUTs) specifically allocated for constant multiplication (CM). Overall, the proposed accelerator totally takes 158 combinational ALUTs, 65 registers, a 960-bit read-only memory (ROM), and a 1024-bit random access memory (RAM) in hardware realization and can be operated at a maximum frequency of 156.62 MHz. Therefore, it is particularly well-suited for VLSI implementation in a parallel calculation of Mel-scale frequency cepstral coefficients (MFCCs).
高精度、低乘法递归离散余弦变换算法设计及其在 Mel-Scale 频率倒频谱系数中的实现
本简介介绍了一种创新的递归离散余弦变换(DCT)算法,其特点是精度极高,乘法要求极低。通过战略性地实施数据重排和 "q "值调整方案,所提出的算法在迭代阶段只需进行一次固定余弦系数的常数乘法运算。通过明智地选择合适的 "q "值(q =41),该算法取得了出色的成果,在 18 位和 20 位字长(WL)条件下,以小数位数计算,峰值信噪比(PSNR)分别达到 94.9 和 100.9 dB。值得注意的是,所提出的算法大大减少了 86.08% 的乘法运算次数,但增加了 2688 次加法运算。拟议的设计结构更简单,利用的硬件资源更少。在现场可编程门阵列(FPGA)实现中,该器件由 43 个组合自适应查找表(ALUT)组成,专门分配给常数乘法(CM)。总体而言,所提出的加速器在硬件实现中需要 158 个组合自适应查找表 (ALUT)、65 个寄存器、960 位只读存储器 (ROM) 和 1024 位随机存取存储器 (RAM),最高运行频率可达 156.62 MHz。因此,它特别适合用于并行计算梅尔尺度频率倒频谱系数(MFCC)的 VLSI 实现。
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来源期刊
CiteScore
6.40
自引率
7.10%
发文量
187
审稿时长
3.6 months
期刊介绍: The IEEE Transactions on VLSI Systems is published as a monthly journal under the co-sponsorship of the IEEE Circuits and Systems Society, the IEEE Computer Society, and the IEEE Solid-State Circuits Society. Design and realization of microelectronic systems using VLSI/ULSI technologies require close collaboration among scientists and engineers in the fields of systems architecture, logic and circuit design, chips and wafer fabrication, packaging, testing and systems applications. Generation of specifications, design and verification must be performed at all abstraction levels, including the system, register-transfer, logic, circuit, transistor and process levels. To address this critical area through a common forum, the IEEE Transactions on VLSI Systems have been founded. The editorial board, consisting of international experts, invites original papers which emphasize and merit the novel systems integration aspects of microelectronic systems including interactions among systems design and partitioning, logic and memory design, digital and analog circuit design, layout synthesis, CAD tools, chips and wafer fabrication, testing and packaging, and systems level qualification. Thus, the coverage of these Transactions will focus on VLSI/ULSI microelectronic systems integration.
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