Wavelet Analysis in Engineering and Computer Science

In the realm of data analysis and signal processing, wavelet analysis stands as a transformative tool, revolutionizing the way we uncover hidden patterns, extract meaningful information, and solve complex problems. This comprehensive guide, Wavelet Analysis in Engineering and Computer Science, delves into the depths of wavelet theory and its myriad applications, providing a thorough understanding for engineers, computer scientists, and practitioners alike.

Embark on a journey through the fundamentals of wavelet theory, grasping the concepts of wavelets, continuous and discrete wavelet transforms, multiresolution analysis, and orthogonal and biorthogonal wavelet systems. Explore the diverse applications of wavelet analysis in signal processing, delving into denoising, smoothing, feature extraction, classification, image compression, and enhancement.

Uncover the power of wavelet analysis in image processing, mastering image denoising, deblurring, compression, edge detection, segmentation, texture analysis, and medical imaging. Discover how wavelet analysis revolutionizes computer vision, enabling object detection and recognition, motion analysis and tracking, facial recognition, and remote sensing.

Witness the transformative impact of wavelet analysis in engineering, empowering structural health monitoring, condition monitoring, vibration analysis, power system analysis, fluid flow analysis, and heat transfer analysis. Delve into the medical applications of wavelet analysis, exploring medical imaging, ECG and EEG signal analysis, cancer detection, disease outbreak detection, and genomics analysis.

Explore the financial applications of wavelet analysis, harnessing its power for financial forecasting, risk management, portfolio optimization, high-frequency trading, and fraud detection. Unravel the intricacies of wavelet analysis in communication, encompassing wireless communication, error control, speech and audio coding, multimedia signal processing, and radar and sonar signal analysis.

Delve into the geophysical applications of wavelet analysis, mastering seismic data analysis, reservoir characterization, groundwater analysis, climate modeling, and oil and gas exploration. Discover the mathematical and physical applications of wavelet analysis, delving into functional analysis, approximation theory, wavelets and fractals, quantum wavelets, and applications in quantum mechanics.

With its comprehensive coverage, accessible explanations, and illustrative examples, Wavelet Analysis in Engineering and Computer Science is an indispensable resource for engineers, computer scientists, and practitioners seeking to harness the power of wavelet analysis in their respective fields.

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Publisher ‏: ‎ PageBook24.com (January 13, 2025)
Language : ‎ English
Dimensions ‏: ‎ 6 x 9 inches
Pages ‏: ‎ 202 pages

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