Area-Delay-Power Efficient VLSI Architecture of FIR Filter for Processing Seismic Signal

Bose, Sudipta; De, Arijit; Chakrabarti, Indrajit

doi:10.1109/tcsii.2021.3081257

Cited by 18 publications

(4 citation statements)

References 16 publications

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“…The author designed filters for processing obtained seismic signals in real-time, the seismic warning systems are high speed, low complexity and have reconfigurability. The common sub-expression elimination (CSE) approach is frequently used to minimize the complexity of digital FIR filter implementation by decreasing the logic depths (LDs) and logic operators (LOs) [20]. Proposed a novel matrix grouped CSE (MCSE) method that outperforms existing algorithms in terms of LO and LD reduction for common sub-expression elimination.…”

Section: Active Emi Filtersmentioning

confidence: 99%

High attenuation electromagnetic interface filter for effective processing of audio signals

Prasanna,

Tripathi,

Mahmud

et al. 2024

Eng. Res. Express

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Suppressing the noise or unwanted signal from the raw signal makes the system work efficiently. Electromagnetic interface (EMI) can cause the system/device to lose the data, damage the electronic equipment, interrupt the audio, or video signals, lead to poor reception, etc. EMI filters are used in telecommunications, military equipment, satellite communication, etc. At the industry level, EMI filters are used for home appliances, medical equipment, motor controls, test equipment, etc. In this paper, active and passive EMI filters are designed to avoid or attenuate EMI or noise (unwanted EMI signal) and implemented on Xilinx Nexys 4 Artix 7 FPGA board. The filters provide a significant improvement in the attenuation of the EMI. MATLAB tool is used to design the filters, which are highly immune to undesired signals, give better stability, and perform over a wide range of frequencies. Depending on the filters' coefficients, the frequency response will be changed. Phase response and amplitude response of the EMI filters are calculated. Insertion loss of the active filter is 1.5836, and for the passive filter, 1.9382. The gain of active and passive filters is 0.7359 and 0.912 respectively. The return loss of the active and passive EMI filters is 20dB. HDL code is generated using MATLAB for the implementation of filter on FPGA. Using MATLAB HDL coder for implementing is new and it simplifies the design, as a result development time is reduced. Xilinx Vivado tool is used for the implementation of active filter. The total on-chip power is 0.146W. Dynamic power is 0.049W, and device static power is 0.097W. The utilization of LUTs and slice registers are less, compared to the previous filter implementation, which leads to reduce the cost of hardware implementation.

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Section: Active Emi Filtersmentioning

confidence: 99%

High attenuation electromagnetic interface filter for effective processing of audio signals

Prasanna,

Tripathi,

Mahmud

et al. 2024

Eng. Res. Express

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“…However, in many cases this method leads to an increase in hardware resources [11]. One of the approaches to reduce hardware resources is the Common subexpression elimination (CSE) technique to minimize logical operators and reduce the logical depth [12,13].…”

Section: Introductionmentioning

confidence: 99%

Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System

et al. 2023

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Improving the characteristics of digital signal processing devices is an important task in many practical problems. The paper proposes the architecture of a two-dimensional digital filter with a 5 × 5 mask, in which calculations are performed according to the Winograd method in the Residue Number System (RNS) with moduli of a special type. Theoretical analysis and hardware Field-Programmable Gate Array simulation are presented. The results show that the fragment throughput fr/s (number of fragments per second) of the device is 29.6% -724.7% higher than state-of-the-art solutions. This is achieved by the combination of the Winograd method, which reduces the number of multiplications, with the RNS arithmetic, which performs addition and multiplication under smaller operands in parallel. However, our experiments showed that the proposed method requires up to 2.54% -11.01% more Look-Up Tables and 3.58% -19.83% higher power consumption compared to known analogues.

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“…However, digital filters usually need to set different parameters based on the different principal frequencies of the microseismic data [24,25]. Polarization filters need to set a reasonable sliding time window combining with the principal frequency of microseismic signals [26,27].…”

Section: Introductionmentioning

confidence: 99%

Reliable Denoising Strategy to Enhance the Accuracy of Arrival Time Picking of Noisy Microseismic Recordings

Zhang,

Li,

Rong

2023

Sensors

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We propose a method to enhance the accuracy of arrival time picking of noisy microseismic recordings. A series of intrinsic mode functions (IMFs) of the microseismic signal are initially decomposed by employing the ensemble empirical mode decomposition. Subsequently, the sample entropy values of the obtained IMFs are calculated and applied to set an appropriate threshold for selecting IMFs. These are then reconstructed to distinguish between noise and useful signals. Ultimately, the Akaike information criterion picker is used to determine the arrival time of the denoised signal. Test results using synthetic noisy microseismic recordings demonstrate that the proposed approach can significantly reduce picking errors, with errors within the range of 1–3 sample intervals. The proposed method can also give a more stable picking result when applied to different microseismic recordings with different signal-to-noise ratios. Further application in real microseismic recordings confirms that the developed method can estimate an accurate arrival time of noisy microseismic recordings.

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Area-Delay-Power Efficient VLSI Architecture of FIR Filter for Processing Seismic Signal

Cited by 18 publications

References 16 publications

High attenuation electromagnetic interface filter for effective processing of audio signals

High attenuation electromagnetic interface filter for effective processing of audio signals

Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System

Reliable Denoising Strategy to Enhance the Accuracy of Arrival Time Picking of Noisy Microseismic Recordings

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