Francisco Bulnes

IINAMEI, Technological Institute of High Studies Chalco, Mexico

Francisco Bulnes is an outstanding mathematician who obtained his Ph.D. in mathematical sciences from UNAM, Mexico, and undertook post-doctoral research in Cuba and Russia. He has achieved international recognition, especially in Eastern Europe, the Middle East and Asia, for his pioneering work on curvature energy theory and mathematical nanotechnology theory. He has authored over 150 research papers in mathematics and physics, and published monographs in more than 40 countries. He has received a number of appointments and awards from government and non-government organizations and doctorates honoris causa from universities. He is a member of several international referee committees and judging panels for mathematics, physics, and nanotechnology research. His biography has been published in more than 20 countries.

Francisco Bulnes

8books edited

15chapters authored

Latest work with IntechOpen by Francisco Bulnes

Today, more sophisticated techniques are necessary for spectral analysis, reconstruction, restoration of signals, their digital and analogic processing, specialized signal diagnostics, and short intervals with occurrences that require greater speed and precision. As the frequency domain of the wavelet transform gets more detailed and considerably more specific in various applications, it necessitates specialized scholarly attention in its many forms and relationships with other transforms with special functions. For example, using the wavelet transform with special functions can prove valuable in creating and designing special signal filters or the interphase between reception-emission devices with specialized sensors for medical use. In quantum phenomena, its corresponding version of the wavelet transform is instrumental in the spectral study of particles and their correlation. Therefore, using specialists’ and experts’ views, this book delves into an exposition on spectral analysis, restoring, monitoring, and signal processing, as well as essential applications required in waveguides and for the improvement of medical images, proving the wavelet transform to be helpful in resolution analysis in time-frequency, with an emphasis on different methods of the calculus using FFT and DSTFT. This book has been divided into four sections covering all the abovementioned subjects.

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