Hardware architecture design for complementary ensemble empirical mode decomposition algorithm

Das, Kaushik; Pradhan, Sambhu Nath

doi:10.1016/j.vlsi.2023.03.011

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…Based on the EEMD method, the complementary EEMD (CEEMD) method is proposed to reduce the residual noise by adding opposing white noise pairs to the signal. The CEEMD method is further extended to the multidimensional CEEMD (MCEEMD) method for multi-dimensional signal analysis [41,42]. In this work, the MCEEMD method is employed to decompose thermal image sequences into a series of IMFs.…”

Section: Jinst 18 T11002mentioning

confidence: 99%

Detection of flat-bottom holes in composite materials using multi-dimensional complementary ensemble empirical mode decomposition algorithm

Zhang,

Li,

Wang

et al. 2023

J. Inst.

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Due to high-temperature resistance, high strength, and excellent fatigue resistance, composite materials are widely used in automotive manufacturing, aerospace, infrastructure and other fields. Consequently, the demand for defect detection of composite materials is also increasing. As a non-destructive testing technique, the active infrared thermography, which can achieve full-field defect detection, is suitable for defect detection of composite materials. However, this method is susceptible to noises caused by the environment and heating sources. In order to solve the problem of the defect signal being submerged by these noises, a multi-dimensional complementary ensemble empirical mode decomposition (MCEEMD) algorithm is introduced in this paper. This method can decompose the signal into the low-frequency background noise, the high-frequency heating noise, and useful defect signals, and these noises can be easily removed to improve the contrast to noise ratio (CNR) of defect images. Based on this proposed method, a defect detection experiment on the carbon fiber reinforced plastic (CFRP) is performed in this paper, and experimental results show that the method can effectively remove environmental noise and heating noise, and it can detect 11 out of 12 defects on the CFRP sample with an average CNR of 9.107. Compared with the traditional differential absolute contrast method, this method can detect one additional small defect with the aspect ratio of 1.67 and one deep defect with a depth of 2 mm.

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Section: Jinst 18 T11002mentioning

confidence: 99%

Detection of flat-bottom holes in composite materials using multi-dimensional complementary ensemble empirical mode decomposition algorithm

Zhang,

Li,

Wang

et al. 2023

J. Inst.

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Hardware implementation of bearing fault diagnosis using empirical mode decomposition

Ninawe,

Deshmukh

2024

Nondestructive Testing and Evaluation

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Efficient Hardware Architecture Design of Radix-22 Fast Fourier Transform Using Coordinate Rotation Digital Computer

Das,

Pradhan,

Bhattacharjee

2024

J CIRCUIT SYST COMP

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The fast Fourier transform (FFT) is a widely used algorithm for computing the discrete Fourier transform (DFT) in real-time signal processing. Achieving high performance with minimal resource usage is crucial for any real-time application. This paper introduces an architecture based on coordinate rotation digital computer (CORDIC) for implementing a radix-[Formula: see text] FFT. Traditional FFT implementations require complex twiddle factor multiplications, which is not cost-effective in terms of hardware utilization. To address this issue, we have proposed a radix-8 CORDIC-based approach integrated with FFT computation. The proposed radix-8 CORDIC requires fewer stages than the conventional radix-2 CORDIC, enhancing computational efficiency and reducing hardware utilization. The feedforward radix-[Formula: see text] FFT architecture is presented where the butterflies of the FFT are computed with the help of radix-8 CORDIC. A total of three FFT architectures are developed supporting 16-, 1024- and 2048-point FFTs. The proposed FFT architectures are developed using Verilog-HDL code and implemented on a Virtex-7 field-programmable gate array (FPGA). The FPGA-based radix-[Formula: see text] FFT achieves a clock frequency of 323.4[Formula: see text]MHz and utilizes minimal FPGA resources. Processing of 2048 data samples takes only 4.06[Formula: see text][Formula: see text]S by the proposed FPGA-based design. Additionally, two ASICs have been designed: the 1024-point FFT ASIC occupies an area of 1.079[Formula: see text]mm2, and the 2048-point FFT ASIC occupies an area of 1.544 mm2. The proposed FFT ASICs have better-normalized area per FFT and energy per FFT than the state-of-the-art designs.

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Hardware architecture design for complementary ensemble empirical mode decomposition algorithm

Cited by 3 publications

References 29 publications

Detection of flat-bottom holes in composite materials using multi-dimensional complementary ensemble empirical mode decomposition algorithm

Detection of flat-bottom holes in composite materials using multi-dimensional complementary ensemble empirical mode decomposition algorithm

Hardware implementation of bearing fault diagnosis using empirical mode decomposition

Efficient Hardware Architecture Design of Radix-22 Fast Fourier Transform Using Coordinate Rotation Digital Computer

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