Measurement of Power Spectra for Nonstationary Random Signals
Measurement of Power Spectra for Nonstationary Random Signals

Author: P. T. Schoenemann

Publisher:

Published: 1962

Total Pages: 24

ISBN-13:

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The use of standard techniques for measuring the power spectra of stationary phenomena in the treatment of nonstationary physical phenomena can lead to erroneous results. Some of the tools available for the analysis of nonstationary random phenomena are outlined in this report and the applicability of these tools to some practical engineering problems is discussed.

Two-Dimensional Correlation Spectroscopy
Two-Dimensional Correlation Spectroscopy

Author: Isao Noda

Publisher: John Wiley & Sons

Published: 2005-01-14

Total Pages: 310

ISBN-13: 0470012390

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A valuable tool for individuals using correlation spectroscopy and those that want to start using this technique. Noda is known as the founder of this technique, and together with Ozaki, they are the two biggest names in the area First book on 2D vibrational and optical spectroscopy - single source of information, pulling together literature papers and reveiws Growing number of applications of this methodology - book now needed for people thinking of using this technique Limitations and benefits discussed and comparisons made with 2D NMR Discusses 20 optical and vibrational spectroscopy (IR, Raman, UV, Visible)

Measurements and Analysis of Solid-propellant-rocket Vibrations Obtained During a Captive Flight
Measurements and Analysis of Solid-propellant-rocket Vibrations Obtained During a Captive Flight

Author: James A. Schoenster

Publisher:

Published: 1971

Total Pages: 52

ISBN-13:

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As part of an overall program to investigate the vibrational environment of small solid-propellant rockets, a captive test firing of a Nike rocket with a boilerplate payload was conducted in a unique test stand which, while restraining the total vehicle displacement, allowed substantial freedom for the test vehicle to vibrate. Measurements were obtained of the vibratory accelerations, pressures in the rocket case, rocket-case strains, and total vehicle displacement and data are presented. A discussion of the analytical procedures used to interpret random phenomena is presented.

Advanced Digital Signal Processing and Noise Reduction
Advanced Digital Signal Processing and Noise Reduction

Author: Saeed V. Vaseghi

Publisher: John Wiley & Sons

Published: 2008-12-23

Total Pages: 544

ISBN-13: 0470740167

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Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system. The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems Examples and applications in signal and information extraction from noisy data Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities.