A Novel Modeling Approach for Wavelet Reconstruction Processors Using Surface Acoustic Wave Devices

Yang, Baoliang; Gao, Lili; Lu, Wenke

doi:10.1109/jsen.2023.3241008

Cited by 1 publication

(2 citation statements)

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“…Table 3 shows that different window functions produce varying levels of sidelobe attenuation and main lobe width, with the Gaussian function being the most efficient. References [27,30], designed WTP with different scale, bandwidth and number of input /output IDTs, in addition to a practical comparison with a manufactured product [31]. A comparative analysis will be established based on the sidelobe attenuation, processing time and a size of the substrate.…”

Section: Resultsmentioning

confidence: 99%

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ECM Approach for Filter Design-Based Wavelet Transform Using SAW

Ali,

Elsherbini,

Ibrahem

et al. 2024

International Journal of Industry and Sustainable Development

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This paper proposes a design of a bandpass filter based on the wavelet transform (WT) technique using a surface acoustic wave device (SAW). The proposed model is achieved through the impulse response model from the equivalent circuit of mason (ECM). This paper aimed to study the behaviour of a bandpass filter with a center frequency of 70MHz suitable for intermediate frequency (IF) stages of mobile phones and various communication systems. The study includes different piezoelectric materials such as ST quartz, Lithium niobate (LiNbO 3 ) and Lithium tantalate (LiTaO 3 ). Moreover, the transfer function, bandpass ripples, sidelobes power and insertion loss for input and output Inter-digital transducers are evaluated and simulated. The calculated parameters include the size of the substrate processing time and the scale of the wavelet function. The simulated results are compared with uniform aperture surface acoustic wave devices. The designed substrate dimensions of 2mm×2mm and sidelobes attenuation is up to 96.61 dB.

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Section: Resultsmentioning

confidence: 99%

“…A comparative analysis will be established based on the sidelobe attenuation, processing time and a size of the substrate. Table 4 represent center frequency, the number of input IDTs and output IDTs [27,30,31] for comparative analysis with our work.…”

Section: Resultsmentioning

confidence: 99%