TY - CHAP A1 - Fayez F. M. El-Sousy A2 - Awad Kh. Al-Asmari ED1 - Awad Kh. Al - Asmari Y1 - 2013-02-06 PY - 2013 T1 - Wavelet–Neural–Network Control for Maximization of Energy Capture in Grid Connected Variable Speed Wind Driven Self- Excited Induction Generator System N2 - Discrete Wavelet Transform is a wavelet (DWT) transform that is widely used in numerical and functional analysis. Its key advantage over more traditional transforms, such as the Fourier transform, lies in its ability to offer temporal resolution, i.e. it captures both frequency and location (or time) information. This book presents a succinct compendium of some of the more recent variants of DWTs and their use to come up with solutions to an array of problems transcending the traditional application areas of image/video processing and security to the relatively newer areas of medicine, artificial intelligence, power systems and telecommunications. The first of the two sections of this book contains three chapters devoted to traditional applications of DWTs in digital image compression, copyright protection and video resolution enhancement. The second section, comprising of five chapters, is devoted to variants of the DWT and their applications in humanoid-robot vision systems; modeling and simulation recognition of physiological and behavioral traits through human gait and facial images; assessment of agitation and sedation in intensive care patients; maximization of power control systems; and, finally, in demodulation of FM data in free-space optical control systems. BT - Discrete Wavelet Transforms SP - Ch. 7 UR - https://doi.org/10.5772/51253 DO - 10.5772/51253 SN - PB - IntechOpen CY - Rijeka Y2 - 2020-08-14 ER -