“…Today wavelet-based algorithms are already in productive use in a broad range of applications [6][7][8][9][10][11][12][13], such as image and signal compression (JPEG2000 standard, FBI fingerprints database), speech recognition, numerical analysis (solving operator equations, boundary value problems), stochastics, smoothing/denoising data, physics (molecular dynamics, geophysics, turbulence), medicine (heart-rate and ECG analysis, DNA analysis) to name just a few. Recent approaches [14][15][16][17][18] to the problem of multirate envelope simulation indicate that wavelets could also be used to address the qualitative challenge by Kai Bittner University of Applied Science of Upper Austria, 4232 Hagenberg, Austria, e-mail: kai.bittner@fh-hagenberg.at Emira Dautbegovic Infineon Technologies AG, 81726 Munich, Germany, e-mail: Emira.Dautbegovic@infineon.com a development of novel wavelet-based circuit simulation techniques capable of an efficient simulation of mixed analog-digital circuits [19].…”