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An Efficient Method to Process the Quantized Acoustoelectric Current: Wavelet Transform

We present a wavelet-based approach to process experimental data of the quantized acoustoelectric (AE) current, which offers the possibility of a quantum standard of current. To obtain the optimal denoising performance at the acoustoelectric current plateau, a new method is proposed to choose wavelet parameters, such as wavelet functions, levels of decomposition, and thresholding techniques. This method ensures that AE current features are completely preserved, whereas noise is removed as effectively as possible. The denoised results indicate that the accuracy of the AE current can effectively be improved by employing the proposed scheme.