Acoustical Imaging: Techniques and Applications for by Woon Siong Gan

By Woon Siong Gan

The expertise of acoustical imaging has complex speedily during the last sixty years, and now represents a cosmopolitan procedure utilized to a variety of fields together with non-destructive trying out, scientific imaging, underwater imaging and SONAR, and geophysical exploration. Acoustical Imaging: suggestions and purposes for Engineers introduces the fundamental physics of acoustics and acoustical imaging, earlier than progressing to extra complicated themes reminiscent of 3D and 4D imaging, elasticity conception, gauge invariance estate of acoustic equation of movement and acoustic metamaterials. the writer attracts jointly the several applied sciences in sonar, seismic and ultrasound imaging, highlighting the similarities among subject parts and their universal underlying theory.

Key features:

  • Comprehensively covers the entire vital purposes of acoustical imaging.
  • Introduces the gauge invariance estate of acoustic equation of movement, with purposes within the elastic constants of isotropic solids, time reversal acoustics, destructive refraction, double adverse acoustical metamaterial and acoustical cloaking.
  • Contains modern remedies on newest theories of sound propagation in random media, together with statistical therapy and chaos theory.
  • Includes a bankruptcy dedicated to new acoustics in keeping with metamaterials, a box based via the writer, together with a brand new idea of elasticity and new concept of sound propagation in solids and fluids and super power in numerous novel applications.

Covers the recent issues on acoustical imaging together with time reversal acoustics, adverse refraction and acoustical cloaking.

Acoustical Imaging: recommendations and purposes for Engineers is a accomplished reference on acoustical imaging and varieties a worthy source for engineers, researchers, senior undergraduate and graduate students.

Chapter 1 creation (pages 1–4):
Chapter 2 Physics of Acoustics and Acoustical Imaging (pages 5–14):
Chapter three sign Processing (pages 15–36):
Chapter four universal Methodologies of Acoustical Imaging (pages 37–61):
Chapter five Time?Reversal Acoustics and Superresolution (pages 63–87):
Chapter 6 Nonlinear Acoustical Imaging (pages 89–123):
Chapter 7 High?Frequencies Acoustical Imaging (pages 125–139):
Chapter eight Statistical remedy of Acoustical Imaging (pages 141–168):
Chapter nine Nondestructive trying out (pages 169–194):
Chapter 10 scientific Ultrasound Imaging (pages 195–262):
Chapter eleven Underwater Acoustical Imaging (pages 263–287):
Chapter 12 Geophysical Exploration (pages 289–324):
Chapter thirteen Quantum Acoustical Imaging (pages 325–341):
Chapter 14 unfavorable Refraction, Acoustical Metamaterials and Acoustical Cloaking (pages 343–368):
Chapter 15 New Acoustics according to Metamaterials (pages 369–406):
Chapter sixteen destiny instructions and destiny applied sciences (pages 407–408):

Show description

Read or Download Acoustical Imaging: Techniques and Applications for Engineers PDF

Best imaging systems books

Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction (Applications of Mathematics, 27)

"This e-book is anxious with a probabilistic strategy for snapshot research, more often than not from the Bayesian perspective, and the $64000 Markov chain Monte Carlo tools normal. .. .This e-book might be worthwhile, specifically to researchers with a powerful historical past in likelihood and an curiosity in snapshot research.

Imaging in Chemical Dynamics

Content material: Imaging in chemical dynamics : the cutting-edge / Arthur G. fits and Robert E. Continetti -- What have we realized from [beta]? / Richard Bersohn -- advancements within the product imaging procedure and their software to ozone photodissociation / Joseph D. Geiser . .. [et al. ] -- speed map imaging : procedure and purposes to O₂ photodissociation / D.

Time-frequency domain for segmentation and classification of non-stationary signals : the Stockwell Transform applied on bio-signals and electric signals

"Focuses on sign processing algorithms in keeping with the time frequency area. unique equipment and algorithms are awarded that are in a position to extract info from non-stationary indications resembling center sounds and gear electrical signs. The tools proposed concentrate on the time-frequency area, and such a lot significantly the Stockwell remodel for the function extraction procedure and to spot signatures.

2D and 3D Image Analysis by Moments

Offers contemporary major and swift improvement within the box of second and 3D picture research second and 3D photograph research via Moments, is a distinct compendium of moment-based picture research including conventional equipment and likewise displays the most recent improvement of the sphere. The ebook offers a survey of 2nd and 3D second invariants with recognize to similarity and affine spatial differences and to snapshot blurring and smoothing by means of a variety of filters.

Additional info for Acoustical Imaging: Techniques and Applications for Engineers

Example text

Image enhancement means the sharpening of image features such as edges, boundaries, or contrast to improve the resolution of the acoustical images. It is a form of digital image processing. From Rayleigh’s criterion, the resolution of the acoustical image is limited to λ/2, where λ is the sound wavelength. Hence, to increase the clarity of the images, we have to resort to digital image processing, an engineering method. The enhancement process does not increase the inherent information content in the data, but it does increase the dynamic range of the chosen features to enable them to be easily detected.

N − 1},{bl (n) , l = 0, . . . , N − 1} are one-dimensional complete orthonormal sets of basis vectors. 37) The Z-Transform The Z-transform is a generalization of the Fourier transform to the two-dimensional complex regime. 38) m,n=∞ where z1 and z2 are complex variables. The Z-transform of the impulse response of a linear shift invariant discrete system is called its transfer function. 39) This shows the transfer function of the systems, the ratio of the Z-transforms of the output, and the input sequences.

The terms used in statistics, such as means and covariance functions, will also be used here. 5 A quantizer (Jain [2]) We start with a one-dimensional (1D) linear system to represent the input signals. Examples of stochastic models used here are covariance models, 1D autoregressive (AR) models, 1D moving average (MA) models, and 1D autoregressive moving average (ARMA) models. 1 Autoregressive Models Let u(n) be a real, stationary random sequence with zero mean and covariance r(n). 50) where Sε (z) = SDF o f ε (n) .

Download PDF sample

Rated 4.81 of 5 – based on 27 votes