Study of small size wavelet transform processor and wavelet inverse-transform processor using SAW devices

Lu, Wenke; Chen, Zhu; Zhang, Jingduan; Shi, Chengqi; Lu, Xihua

doi:10.1016/j.measurement.2011.02.007

Cited by 18 publications

(17 citation statements)

References 9 publications

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“…The Pierce oscillator circuit has a better stability compared with Colpitts and Clapp circuits [17]. Figure 5 shows the oscillator circuit of the SAW based micro force sensor based on the principle of Pierce circuit and the combination with the design requirements.…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Circuit Design of Surface Acoustic Wave Based Micro Force Sensor

Chen

et al. 2014

Mathematical Problems in Engineering

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Pressure sensors are commonly used in industrial production and mechanical system. However, resistance strain, piezoresistive sensor, and ceramic capacitive pressure sensors possess limitations, especially in micro force measurement. A surface acoustic wave (SAW) based micro force sensor is designed in this paper, which is based on the theories of wavelet transform, SAW detection, and pierce oscillator circuits. Using lithium niobate as the basal material, a mathematical model is established to analyze the frequency, and a peripheral circuit is designed to measure the micro force. The SAW based micro force sensor is tested to show the reasonable design of detection circuit and the stability of frequency and amplitude.

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Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Circuit Design of Surface Acoustic Wave Based Micro Force Sensor

Chen

et al. 2014

Mathematical Problems in Engineering

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“…Tigli designed the FEM and performance analysis of SAW devices using complementary metal oxide semiconductor technology [11]. Lu and Lü researched a yarn tension stress sensor [12,13].…”

Section: Introductionmentioning

confidence: 99%

Finite element analysis of surface acoustic wave based on a micro force sensor

Chen

et al. 2015

Measurement

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“…Generally, signal processing systems require the inverse wavelet transform processor (IWTP) has small size, low loss, high suppression and low cost in flaw detection, image processing, wireless communication and other fields. Many methods, such as analog circuits, digital circuits and surface acoustic wave (SAW) devices, have been proposed to implement the inverse wavelet transform (IWT) in hardware [1,2,3,4,5,6].…”

Section: Introductionmentioning

confidence: 99%

“…For these reasons, the low signal-to-noise ratio (SNR) affects the efficiency and accuracy of signal processing. Furthermore, using the multistrip coupler (MSC) structure can implement the IWT, but the drawback is the substrate size will be increased [6].…”

Section: Introductionmentioning

confidence: 99%

Design and fabrication of low loss and high suppression monolithic inverse wavelet transform processor

Jiang

Lu²,

Dai

2014

IEICE Electron. Express

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This paper presents a low loss and high suppression monolithic inverse wavelet transform processor (MIWTP) using surface acoustic wave (SAW) devices. New functions for achieving the MIWTP have been derived. Its structure combines a withdrawal weighted single phase unidirectional transducer (SPUDT) with an apodized SPUDT. The experimental device is achieved with the aluminum electrode and the 128 degree rotated Y-cut lithium niobate (LiNbO 3 ) substrate. Measured results demonstrate the center frequency 68.1 MHz, the minimum insertion loss (IL) 5.4 dB, the 3-dB fractional bandwidth 1.3% and the sidelobe suppression over 40 dB.

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Study of small size wavelet transform processor and wavelet inverse-transform processor using SAW devices

Cited by 18 publications

References 9 publications

Circuit Design of Surface Acoustic Wave Based Micro Force Sensor

Circuit Design of Surface Acoustic Wave Based Micro Force Sensor

Finite element analysis of surface acoustic wave based on a micro force sensor

Design and fabrication of low loss and high suppression monolithic inverse wavelet transform processor

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