Efficient architecture for real time implementation of Hilbert Transform in FPGA

Prince, A. Amalin; Verma, Prakhar Kumar; Jayakumar, C.; Raju, D.

doi:10.1109/icecct.2015.7226158

Cited by 11 publications

(4 citation statements)

References 14 publications

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“…This leads to the same architecture be applicable for the frequency ranges other than audio frequency. The architecture can be changed depending on the algorithm for ultrasonic signal processing techniques [14][15][16][17][18][19][20][21][22][23][24][25].…”

Section: Results and Verificationmentioning

confidence: 99%

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Efficient FPGA-based FIR – architecture and its significance in ultrasonic signal processing

Tiwari¹,

Ostreika²,

Platuziene³

2017

J. vibroeng.

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The presented work demonstrates the most suitable architecture for the FPGA-based signal processing which makes available various real-time filtering algorithms, such as band pass, high pass, low pass, and band-reject for FIR filters. The processor was implemented with the fixed-point arithmetic using VHDL, which can be downloadable on FPGA device. The FPGA device can be interfaced with an analog-to-digital converter (ADC), digital-to-analog converter (DAC) and a personal computer with MATLAB for the user interface and feeding coefficients and order of the filter. The core part of this paper was to find the reconfigurable and efficient architecture of the processor with only one multiplier which can work for Finite Impulse response (FIR) filter with the best-suited structure. The system will be used for automatic generation of fixed-point FIR filters. The model was also implemented in MATLAB script and the verification of results in the case of low-pass filtering confirmed that both models in MATLAB and VHDL matched to each other. All components of architecture in VHDL were designed using generics which allow changing its structure and behavior by generic values. Therefore, it is a universal filter platform where user can process the data while changing the filter parameters as per the requirement of applications. The complete design was verified by taking the example of audio signal frequency, but parameterized components of system architecture can also facilitate its applicability at ultrasonic frequencies by changing the algorithm. The significance and applicability of FPGAs in ultrasonic signal processing were also studied and reviewed. . He also works as a Lecturer at Multimedia Engineering Department of Kaunas University of Technology. He also achieved Master degree in Electronics engineering (VLSI) at University of Westminster, London, England in 2011. His current research includes development of signal and image processing methods, ultrasonic NDT of composite materials etc. Armantas Ostreika received Ph.D. degree in information technology at Kaunas University of Technology, Lithuania in 2000. He is head of Multimedia Engineering Department at Kaunas University of Technology. His current research includes digital image processing, statistical image analysis, object recognition and interpretation, image restoration, stereo and multi-view imaging, digital photogrammetric systems, video processing etc. Jūratė Platužienė received Master degree in information technology at Kaunas University of technology. She is a Lecturer at Multimedia Engineering Department of Kaunas University of Technology. The main scope of her activity is computer graphics and 3D modeling and animation.

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Section: Results and Verificationmentioning

confidence: 99%

“…Hilbert Transform (HT) can also be implemented using FFT. The architecture for HT algorithm based on FFT was implemented on Xilinx Kintex-7 which supports 8192 points transform length using 24-bit fixed point arithmetic [25].…”

Section: Significance In Ultrasonic Signal Processingmentioning

confidence: 99%

Efficient FPGA-based FIR – architecture and its significance in ultrasonic signal processing

Tiwari¹,

Ostreika²,

Platuziene³

2017

J. vibroeng.

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“…This value xxx of RMSE i.e. quantization error caused by the difference in the internal representation of floating point numbers between the proposed algorithm and Xilinx IPCORE is insignificant to cause any distortion in computation because it is highly accurate and competes better than similar algorithms [34]- [37]. Fig.…”

Section: Design Simulation Verification and Performance Measurementmentioning

confidence: 92%

VLSI Design of a Processor for Discrete Wavelet Packet and Hilbert Transforms

Dibal¹,

Onwuka²,

Agajo³

et al. 2021

IJCDS

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Very Large Scale Integration (VLSI) design is a technological advancement in electronics that has widely shortened the window from concept to a working prototype in any design. It has also made it possible to design and develop sophisticated and intelligent electronic systems which are easily adaptable to any field of human endeavor with relative ease. In this paper, the VLSI design of a processor system is presented, which implements two transforms i.e. the discrete wavelet packet, and the Hilbert transforms. The combination of these two transforms in a single processor makes it possible to have a system with enhanced subband frequency edge detection in a wideband signal and other specialized areas, which is very useful in such specialized areas of application as spectrum sensing in cognitive radio networks. The results obtained from the simulation and design verification of the processor system showed the effectiveness of the design methodology presented in this paper. As a matter of fact, the arithmetic operators designed in this paper outperformed the arithmetic operators of the Xilinx IP CORE when compared in terms of speed. From the results obtained, it was clear that the processor design performed as expected, at a great speed.

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“…Transformada de Hilbert (HT), uma ferramenta importante no campo da Digital Signal Processing (DSP), é usada para construir análises de sinais para diferentes tipos, que variam de linear, estacionária a não linear e não estacionária (Prince et al, 2015). Trata-se de uma técnica clássica, amplamente utilizada na detecção de falhas em motores de indução.…”

Section: Transformada De Hilbertunclassified

Analise da Transformada de Hilbert em baixo escorregamento

Araújo

Oliveira

Moreira

et al. 2019

Anais Do 14º Simpósio Brasileiro De Automação Inteligente

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The three-phase induction motors have a significant presence in the industrial sector, mainly due to the versatility, low cost and robustness. Electrical machines are subject to failures that depending on the type and importance of the factory can cause material, economic and social damages. The reliability required for electric motors is constantly increasing due to the importance of its applications and the technological advance. This work presents an analysis of the characteristic modulations of the fault of broken bars using a traditional methodology of signal processing known as Hilbert Transform (HT). The algorithm was implemented using Matlab TM software, where the results were analyzed. The obtained results showed this technique as a possible alternative for the detection of broken bars in the induction motor, avoiding invasive tests in the machine, and can be done even with the engine running. However, the statistical analysis of the results point to a particular condition of difficult identification of failures. Resumo: Os motores de indução trifásicos possuem uma presença significativa no setor industrial, principalmente devido a sua versatilidade, baixo custo e robustez. As máquinas elétricas estão sujeitas a falhas que, dependendo do tipo e da sua importância na planta fabril, podem causar prejuízos materiais, econômicos e sociais. Observa-se que a confiabilidade exigida para os motores elétricos cresce constantemente devido à importância de suas aplicações e do avanço tecnológico. Neste contexto, o presente trabalho traz uma análise das modulações características da falha de barras quebradas utilizando uma tradicional metodologia de processamento de sinais conhecida como Transformada de Hilbert (HT). O algoritmo foi implementado utilizando o software Matlab TM , onde também foi realizada as análises dos resultados. Os resultados obtidos mostraram essa técnica como uma possível alternativa para detecção de barra quebrada no motor de indução, evitando testes invasivos na máquina, podendo ser feitos ainda com o motor em funcionamento. No entanto, a análise estatística dos resultados, aponta para uma condição em particular de difícil identificação de falhas.

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Efficient architecture for real time implementation of Hilbert Transform in FPGA

Cited by 11 publications

References 14 publications

Efficient FPGA-based FIR – architecture and its significance in ultrasonic signal processing

Efficient FPGA-based FIR – architecture and its significance in ultrasonic signal processing

VLSI Design of a Processor for Discrete Wavelet Packet and Hilbert Transforms

Analise da Transformada de Hilbert em baixo escorregamento

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