A Fault-Tolerant Complex FIR Filter for SoC Communication Technologies

Steiner, Ivan P.; Jullien, G.A.

doi:10.1109/acssc.2007.4487589

Cited by 2 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Filter was invented by Campbell and Wagner in 1917 [1] and played important roles in many applications, such as image processing [2,3], computer vision [4,5], communication technology [6] and time-frequency analysis [7]. In the point of view of pass band and stop band, filters can be classified into low-pass, high-pass, band-pass and bandstop filters [8].…”

Section: Introductionmentioning

confidence: 99%

Memristor bridge-based low pass filter for image processing

Yang

et al. 2019

JSEE

View full text Add to dashboard Cite

This paper highlights the memristor bridge-based lowpass filter (LPF) and improved image processing algorithms along with a novel adaptive Gaussian filter for denoising image and a new Gaussian pyramid for scale invariant feature transform (SIFT). First, a novel kind of LPF based on the memristor bridge is designed, whose cutoff frequency and other traits are demonstrated to change with different time and memristance. In light of the changeable parameter of the memristor bridge-based LPF, a new adaptive Gaussian filter and an improved SIFT algorithm are presented. Finally, experiment results show that the peak signalto-noise ratio (PSNR) of our denoising is bettered more than 2.77 dB compared to the corresponding of the traditional Gaussian filter, and our improved SIFT performances including the number of matched feature points and the percent of correct matches are higher than the traditional SIFT, which verifies feasibility and effectiveness of our algorithm.

show abstract