Hardware implementation of the depth first search bit stream SPIHT system

ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196) ◽

10.1109/iscas.2001.922288 ◽

2002 ◽

Cited By ~ 2

Author(s):

Li-Minn Ang ◽

Hon Nin Cheung

Keyword(s):

Hardware Implementation ◽

Depth First Search ◽

Bit Stream

Download Full-text

A dataflow-oriented VLSI architecture for a modified SPIHT algorithm using depth-first search bit stream processing

2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353) ◽

10.1109/iscas.2000.857087 ◽

2002 ◽

Cited By ~ 2

Author(s):

Li-Minn Ang ◽

Hon Nin Cheung ◽

K. Eshraghian

Keyword(s):

Stream Processing ◽

Vlsi Architecture ◽

Depth First Search ◽

Spiht Algorithm ◽

Bit Stream

Download Full-text

A High-Accuracy Stochastic FIR Filter with Adaptive Scaling Algorithm and Antithetic Variables Method

Electronics ◽

10.3390/electronics10161937 ◽

2021 ◽

Vol 10 (16) ◽

pp. 1937

Author(s):

Ying Zhang ◽

Yubin Zhu ◽

Kaining Han ◽

Junchao Wang ◽

Jianhao Hu

Keyword(s):

Hardware Implementation ◽

Finite Impulse Response ◽

Signal To Noise Ratio ◽

Digital Signal ◽

Low Complexity ◽

Fir Filter ◽

Stream Length ◽

Stochastic Computing ◽

Dsp Systems ◽

Bit Stream

Digital filter is an important fundamental component in digital signal processing (DSP) systems. Among the digital filters, the finite impulse response (FIR) filter is one of the most commonly used schemes. As a low-complexity hardware implementation technique, stochastic computing has been applied to overcome the huge hardware cost problem of high-order FIR filters. However, the stochastic FIR filter (SFIR) scheme suffers from long processing latency and accuracy degradation. In this paper, the bit stream representation noise is theoretically analyzed, and an adaptive scaling algorithm (ASA) is proposed to improve the accuracy of SFIR with the same bit stream length. Furthermore, a novel antithetic variables method is proposed to further improve the accuracy. According to the simulation results on a 64-tap FIR filter, the ASA and AV methods gain 17 dB and 6 dB on the signal-to-noise ratio (SNR), respectively. The hardware implementation results are also presented in this paper, which illustrates that the proposed ASA-AV-SFIR filter increases 4.6 times hardware efficiency with respect to the existing SFIR schemes.

Download Full-text