On Multi-resolution Signal Decomposition Techniques
for Signal/Image Processing
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Signals play an important role in our day-to-day life. We frequently come across signals carrying information in the shape of speech, music, picture and video signals. A signal is a function of independent variables such as time, distance, position, temperature, pressure etc. Main objective of signal processing is concerned with the mathematical representation of signal and the algorithmic operation carried out to extract the information present in it. Application of B-Spline and wavelet tools has been discussed in texture classification in this book. We have introduced a new wavelet decomposi...
Signals play an important role in our day-to-day life. We frequently come across signals carrying information in the shape of speech, music, picture and video signals. A signal is a function of independent variables such as time, distance, position, temperature, pressure etc. Main objective of signal processing is concerned with the mathematical representation of signal and the algorithmic operation carried out to extract the information present in it. Application of B-Spline and wavelet tools has been discussed in texture classification in this book. We have introduced a new wavelet decomposition technique using fast recursive generalised IIR filters. We have also proposed Oriented Laplacian Pyramid (OLP) using generalised B- spline filters. This book is mainly useful to students/ researchers who are working in the areas of signal/image processing.
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