A new discrete wavelet transform appropriate for hardware implementation

Meshkat, Amin; Dehghani, Rasoul

doi:10.1002/cta.2836

Cited by 2 publications

(2 citation statements)

References 49 publications

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“…Wavelet analysis is widely used in noise reduction and image processing. 19 The original signal is decomposed into highfrequency and low-frequency components by wavelet, and noise reduction can be achieved by filtering out the highfrequency components. 20,21 Haar wavelet is the most typical and simplest wavelet, which uses rectangular waves with different widths to approximate the original signal.…”

Section: Haar Wdr Theorymentioning

confidence: 99%

“…They produce a set of functions through the expansion and shrinkage to decompose or reconstruct the signal at different scales. Wavelet analysis is widely used in noise reduction and image processing 19 . The original signal is decomposed into high‐frequency and low‐frequency components by wavelet, and noise reduction can be achieved by filtering out the high‐frequency components 20,21…”

Section: Haar Wdr Theorymentioning

confidence: 99%

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An improved state‐space average model of the ultra‐high voltage inverter based on wavelet decomposition and reconstruction

Ding,

Xie,

Zhang

et al. 2024

Circuit Theory & Apps

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SummaryUltra‐high voltage inverters are widely used as grid‐connected devices in new energy grids, and the state‐space average model is the most practical modeling method for the inverter. However, the accuracy of this modeling method is significantly reduced because it ignores the high‐frequency switching process, which contains overshoot voltage and other factors that affect system stability. Moreover, the amplitude of the overshoot voltage in the ultra‐high voltage inverter will be huge, which may lead to the damage to switching devices, circuit overheating, and even the collapse of the system. Therefore, the wavelet decomposition and reconstruction methods are used in this paper to extract the transient characteristics of the inverter and integrate them into the state‐space average model. Compared with the traditional state‐space average model, the improved model method can obtain a more accurate overshoot voltage peak value with the same simulation step size. Then, it can provide a more precise reference for the withstand voltage in the device selection of a high voltage level system. The single‐phase full‐bridge inverter is taken as an example to illustrate the construction process based on the wavelet decomposition and reconstruction method. Finally, the simulation waveform is verified to be in good agreement with the experiment.

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Section: Haar Wdr Theorymentioning

confidence: 99%

Section: Haar Wdr Theorymentioning

confidence: 99%

An improved state‐space average model of the ultra‐high voltage inverter based on wavelet decomposition and reconstruction

Ding,

Xie,

Zhang

et al. 2024

Circuit Theory & Apps

View full text Add to dashboard Cite

show abstract

A power–performance partitioning approach for low‐power DA‐based FIR filter design with emphasis on datapath and controller

Ghamkhari

Ghaznavi‐Ghoushchi

2021

Circuit Theory & Apps

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Distributed arithmetic (DA) is an efficient way to implement sum-of-product units, which can be used in applications such as FIR filters, filter banks, image processing, and convolutional neural networks in IoT hardware accelerators. In this paper, a low-power architecture is offered centered on two key steps, coarse-grain power-performance partitioning and fine-grain separated power supply, and tuned a level shifter in any digital systems implemented based on RTL design. To examine the new design approach, two methods are proposed, at first exploring the power consumption and critical delay path and then separating the power supply of datapath and controller in DA with/without utilizing an implicit level shifter. To investigate power consumption and timing parameters, two 5-tap and 16-tap FIR-filters are implemented in 65-nm CMOS standard technology. In proposed1, dynamic and static power consumption of 16-tap (5-tap) FIR-filter is improved by 30% (15%) and 59% (59%), respectively.Nevertheless, the delay and slope of the generated signal in the shiftreg are significantly increased by reducing the power supply. To tackle this issue, the second method suggested with 26% (14%) improvement in dynamic power and 55% (58%) in static power consumption, which does not increase any delay in the output of shiftreg compared to conventional DA-based FIR filter with solitary power supply.distributed arithmetic, FIR filter, inner product, low-power, power-performance partitioning, RTL design and literature reviewInner product computation is an essential operation in digital signal processing (DSP) applications targeting image, audio, and video processing, as well as various applications of machine learning. 1 It could be used through a common multiply-accumulate (MAC) structure or an improved MAC method called distributed arithmetic (DA) to implement the sum of multiplications. The MAC structure is a high-consumption unit in implementation and not cost-effective in designing high-performance systems due to a large number of multipliers. DA structure is a bit-level rearrangement of

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A new discrete wavelet transform appropriate for hardware implementation

Cited by 2 publications

References 49 publications

An improved state‐space average model of the ultra‐high voltage inverter based on wavelet decomposition and reconstruction

An improved state‐space average model of the ultra‐high voltage inverter based on wavelet decomposition and reconstruction

A power–performance partitioning approach for low‐power DA‐based FIR filter design with emphasis on datapath and controller

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