FPGA implementation of efficient FIR Filter with quantized fixedpoint coefficients

Bhalke, Santosh; Manjula, B.; Sharma, Chirag

doi:10.1109/c2spca.2013.6749406

Cited by 4 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The additional comparison of the obtained results in point of other researches [3,5] was conducted. The comparison was realized with regard to total power.…”

Section: Discussionmentioning

confidence: 95%

A Power-Efficient Multichannel Low-Pass Filter Based on the Cascaded Multiple Accumulate Finite Impulse Response (CMFIR) Structure for Digital Image Processing

Jain¹,

Chakrabarti²,

Mitolo

et al. 2022

Circuits Syst Signal Process

View full text Add to dashboard Cite

The author offers a power-efficient multichannel low-pass filter for digital image processing based on the cascade multiple accumulate finite impulse response (CMFIR) structure in this study. The CMFIR filter was created using the outputs of a linear time-invariant system (LTI), which was built using a cascaded integrator comb (CIC) and a MAC low-pass filter. The sample rate convertor based on CIC filters effectively conducts decimation or interpolation. The sample rate convertor with the CIC filter can only accommodate narrowband transmissions and so cannot be utilized for wideband signals. The MAC architecture-based sample rate convertor is a good solution for high-bandwidth signals, but it uses more resources like registers and flip-flops, which increases power consumption. Here, the CMFIR low-pass filter acts as an interpolator, introducing a sample to boost the image's resolution. CMFIR is a useful tool for addressing the issue of aliasing during sampling. In addition, the genetic algorithm was used to increase the filter's resource utilization and power consumption efficiency.

show abstract

“…The additional comparison of the obtained results in point of other researches [3,5] was conducted. The comparison was realized with regard to total power.…”

Section: Discussionmentioning

confidence: 95%