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Magnetic Resonance in Chemistry and Medicine by Ray Freeman, X

Magnetic Resonance in Chemistry and Medicine by Ray Freeman, X
Magnetic resonance (MR) measures the tiny radio frequency signals emitted by the nucleus of the atom when living or inanimate material is placed in a magnetic field. On the one hand, these signals allow scientists to picture the architecture of molecules too small to be seen under the most powerful microscope, while on the other hand they give medical doctors a detailed picture of the internal structure of the human body without resorting to surgery of any kind. These two applications (high-resolution NMR spectroscopy and the MRI scanner) seem to be worlds apart, but the underlying physical principles are the same, and it makes sense to treat them together. Chemists and clinicians who use magnetic resonance have much to learn about each other's specialities if they are to make the best use of magnetic resonance technology. Many in the medical fraternity will benefit from a general appreciation of how high-resolution NMR has advanced our understanding of human biochemistry, diagnostic medicine, and the search for new drugs. A broad general understanding of magnetic resonance should prove of interest to doctors who make use of the MRI scanner, and to those of their patients who wish to learn more about these daunting machines, even if it is only the question of their own personal safety. At the other end of the spectrum, chemists and biochemists who use high-resolution NMR spectroscopy in their everyday investigations will benefit by broadening their horizons to cover the exciting new developments in MR imaging and in vivo spectroscopy, as one justification for their research is the eventual benefit to health care. Finally, anyone interested in how the human mind works (cognitiveneuroscience) will find a chapter devoted to the exciting new developments in functional magnetic resonance imaging of the brain. Each disparate group has something useful to learn from the others. The treatment is pictorial rather than mathematical.



Introduction to Time - Frequency and Wavelet Transform by Shie Qian,
Introduction to Time - Frequency and Wavelet Transform by Shie Qian,
The practical, heuristic introduction to time-frequency and wavelet analysis.Heuristic approach focuses on numerical implementation and real-world applicationsPresents algorithms found in NI's Signal Processing Toolset and other commercial softwareGabor expansions, linear time-variant filters, and key wavelet transform conceptsBilinear time-frequency representationCombining time-frequency and wavelet decomposition In "Introduction to Time-Frequency and Wavelet Transforms," Shie Qian takes a heuristic approach to time-frequency and wavelet analysis, drawing upon the engineer's intuition--not abstract equations. Qian presents the essence of the subject: the information needed to identify applications, choose approaches, and apply time-frequency and wavelet analysis successfully. Each chapter starts with introductory background, moves to theoretical derivation, and concludes with practical numerical implementation. All algorithms can be found in commercial software, such as the Signal Processing Toolset from National Instruments, and all examples are available for download at NI's Web site. The book presents multiple real-world applications collected from NI's customers--many published here for the first time. Coverage includes: Discrete, period discrete, and orthogonal-like Gabor expansionsShort-time Fourier transformsFast algorithms for computing dual functionsLinear time-variant filtersFundamental wavelet transform conceptsBilinear time-frequency representations, including Wigner-Ville distribution and decompositionCohen's Class and other time-dependent power spectraCombining time-frequency and time-scale (wavelet) decomposition If you've wanted to utilize time-frequency andwavelet analysis, but you've been deterred by highly mathematical treatments, "Introduction to Time-Frequency and Wavelet Transforms" is the accessible, practical guide you've been searching for.



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