Wavelet transform as a new approach to the enhancement of signal-to-noise ratio in anodic stripping voltammetry

Prikler, Simon; Einax, J├╝rgen W.
November 2009
Analytical & Bioanalytical Chemistry;Nov2009, Vol. 395 Issue 6, p1707
Academic Journal
De-noising signals is a frequent aim achieved by signal processing in analytical chemistry. The purpose is to enable the detection of trace concentrations of analytes. The limit of detection is defined as the lowest amount of analyte that still causes signals greater than the background noise. Appropriate de-noising decreases only the noise and maintains the measurement signal, so that signal-to-noise ratios are enhanced. One adequate mean of signal processing for this purpose is wavelet transform, which still is not a common tool in analytical chemistry. In this paper, the ability of de-noising by wavelet transform is shown for measurements in anodic stripping voltammetry using a hanging mercury drop electrode. The calculation of limits of detection and signal-to-noise ratios on the basis of peak-to-peak noise is exercised to quantify the performance of de-noising. Furthermore, signal shape with regard of easing the application of base lines is discussed. Different wavelet functions are used, and the results are compared also to Fourier transform. Coiflet2 was found out to reduce noise by the factor of 330 and is proposed as the adequate wavelet function for voltammetric and similar signals.


Related Articles

  • Enhanced T-ray signal classification using wavelet preprocessing. Yin, X. X.; Kong, K. M.; Lim, J. W.; Ng, B. W.-H.; Ferguson, B.; Mickan, S. P.; Abbott, D. // Medical & Biological Engineering & Computing;Jun2007, Vol. 45 Issue 6, p611 

    This study demonstrates the application of one-dimensional discrete wavelet transforms in the classification of T-ray pulsed signals. Fast Fourier transforms (FFTs) are used as a feature extraction tool and a Mahalanobis distance classifier is employed for classification. Soft threshold wavelet...

  • Image Enhancement by Using Directional Wavelet Transform. Heric, D.; Potocnik, B. // Journal of Computing & Information Technology;Dec2006, Vol. 14 Issue 4, p299 

    The purpose of this paper is to introduce a novel image enhancement technique by using directional wavelet transform. Directional wavelet transform decomposes an image into four-dimensional space which augments the image by the scale and directional information. We show that the directional...

  • End Point Detection for Wavelet Based Speech Compression. Karam, Jalal // Proceedings of World Academy of Science: Engineering & Technolog;Feb2008, Vol. 39, p343 

    In real-field applications, the correct determination of voice segments highly improves the overall system accuracy and minimises the total computation time. This paper presents reliable measures of speech compression by detecting the end points of the speech signals prior to compressing them....

  • Using Wavelet Transformation in Blind Sources Separation of the Fetal Electrocardiogram. Shayesteh, Mohammadreza; Fallahian, Jamal // Majlesi Journal of Electrical Engineering;Sep2011, Vol. 5 Issue 3, p33 

    One of the most important problems in heart signal processing is the extraction of the fetal electrocardiogram (FECG). One of the reasons that we are interested in FECG extraction is that this signal consists of important characteristics about healthy conditions of the fetus. Based on available...

  • Peak Detection based Spread Spectrum Audio Watermarking using Discrete Wavelet Transform. Baranwal, Neha; Datta, Kamalika // International Journal of Computer Applications;Jun2011, Vol. 24, p16 

    This paper proposes a robust spread spectrum based audio watermarking scheme using Discrete wavelet transform (DWT). Here we use a peak detection algorithm to obtain high robustness. In this watermarking scheme, watermarks are embedded into the peak value of detail coefficients of, transformed...

  • Comparison of the Fuzzy-based Wavelet Shrinkage Image Denoising Techniques. Adeli, Ali; Tajeripoor, Farshad; JavadZomorodian, M.; Neshat, Mehdi // International Journal of Computer Science Issues (IJCSI);Mar2012, Vol. 9 Issue 2, p211 

    In this paper, a comparative study on the different membership functions which are used for fuzzy-based noise reduction methods is done. This study focuses on the three different membership functions such as Gaussian, Sigmaf and Trapezoidal. The fuzzy wavelet shrinkage method is tested with...

  • AN IMPROVED INVISIBLE WATERMARKING TECHNIQUE FOR IMAGE AUTHENTICATION. VAMAN RAVI PRASAD, DASU // International Journal of Research in Commerce, IT & Management;Sep2013, Vol. 3 Issue 9, p76 

    Digital Watermarking is a technique which embeds a watermark signal into the host image in order to authenticate it. In their previous work, a binary watermark pattern was constructed from the information content of the image by selecting the minimum value from every block of size 2x2, and was...

  • 760. Damage localization by wavelet analysis of uniform load surface. Masoumi, M.; Ashory, M. R. // Journal of Vibroengineering;Mar2012, Vol. 14 Issue 1, p395 

    This paper presents a new technique for identifying damages in beam-type structures based on wavelet analysis of uniform load surface (ULS). Having come into focus in the field of damage detection, wavelet analysis revealed itself as a practical and state-of-the-art signal processing method for...

  • Denoising and compression of intracortical signals with a modified MDL criterion. Carotti, Elias; Shalchyan, Vahid; Jensen, Winnie; Farina, Dario // Medical & Biological Engineering & Computing;May2014, Vol. 52 Issue 5, p429 

    Intracortical signals are usually affected by high levels of noise [0 dB signal-to-noise ratio (SNR) is not uncommon] often due to magnetic or electrical coupling between surrounding sources and the recording system. Apart from hindering effective exploitation of the information content in the...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics