Discrete Wavelet Mathematical Transformation Method for Non-stationary Heart Sounds Signal Analysis
نویسنده
چکیده
Wavelet mathematical transformation and heart sound signal processing have recently been attracting a significant amount of attention in the research community. Why is this new priority being given to improved approach to heart sound signal analysis for accurate pattern recognition using the wavelet transform technique? This article provides an overview of this emerging field of digital bio-signal processing, clarifying how wavelet transformation is superior to other signal processing techniques such as Fast Fourier Transform (FFT) and Short Time Fourier Transform (STFT). The article presents an overview of mathematical and theoretical background for Discrete Wavelet Transform (DWT). It discusses the application of a new DWT algorithm to the analysis and characterisation of heart sounds for diagnostic purpose and charts a course for future research direction in the field of knowledge discovery in databases (KDD).
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