Multiresolution Signal Decomposition. Transforms, Subbands, by Paul R. Haddad and Ali N. Akansu (Auth.)

By Paul R. Haddad and Ali N. Akansu (Auth.)

This e-book offers an in-depth, built-in, and updated exposition of the subject of sign decomposition options. software components of those innovations comprise speech and picture processing, desktop imaginative and prescient, info engineering, High-Definition tv, and telecommunications. The ebook will function the key reference for these getting into the sphere, teachers educating a few or all the issues in a complicated graduate direction and researchers desiring to refer to an authoritative resource.

n the 1st publication to offer a unified and coherent exposition of multiresolutional sign decomposition techniques
n school room proven textbook sincerely describes the commonalities between 3 key methods-transform coding, and wavelet transforms
n supplies comparative functionality reviews of many proposed suggestions

Show description

Read Online or Download Multiresolution Signal Decomposition. Transforms, Subbands, and Wavelets PDF

Similar imaging systems books

Medical Imaging Systems Technology Methods in Cardiovascular And Brain Systems

This scholarly set of well-harmonized volumes offers vital and entire assurance of the interesting and evolving topic of clinical imaging structures. major specialists at the overseas scene take on the newest state-of-the-art options and applied sciences in an in-depth yet eminently transparent and readable process.

Optical Networking Best Practices Handbook

It is a rather advantageous e-book, one of many greater technical books i have visible shortly. it kind of feels like nowadays they are going to allow an individual write a e-book. you should see that a few publishers nonetheless call for caliber and also are in a position to produce it. For an individual who's attracted to studying approximately optical networking, from most sensible to backside, or in instructing a category on it, this can be the best publication for you.

Functional neuroimaging of visual cognition

Practical neuroimaging has significantly improved our wisdom of the mind, and has, in past times, guided the sphere of cognitive neuroscience. For the newest quantity during this prestigious sequence, Nancy Kanwisher and John Duncan have introduced jointly global leaders in cognitive neuroscience to offer a groundbreaking, cutting-edge account of present imaging examine in visible cognition.

Mathematical Optics: Classical, Quantum, and Computational Methods

Going past average introductory texts, Mathematical Optics: Classical, Quantum, and Computational tools brings jointly many new mathematical recommendations from optical technology and engineering examine. Profusely illustrated, the publication makes the cloth obtainable to scholars and novices to the sphere.

Extra resources for Multiresolution Signal Decomposition. Transforms, Subbands, and Wavelets

Sample text

Of course, for p — 0, there is no benefit from transform coding since the signal is already white. 2 Discrete Polynomial Transforms The class of discrete polynomial transforms are descendants, albeit not always in an obvious way, of their analog progenitors. ) The polynomial transforms are uniquely determined by the interval of definition or support, weighting function, and normalization. Three transforms are described here. The Binomial-Hermite family and the Legendre polynomials have finite support and are realizable in finite impulse response (FIR) form.

128). 50 CHAPTER 2. 8: (a) Binomial filter bank structure; (b) magnitude responses of duration Binomial sequences (first half of the basis). The associated Hermite and Binomial transformation matrices are H — [Hrk] X = [Xrk] where we are using the notation Hrk = Hr(k), and Xrk = Xr(k). The matrix H is real and symmetric; the rows and columns of X are orthogonal (Prob. 141) These Binomial-Hermite filters are linear phase quadrature mirror filters. 3. 145) These equations demonstrate the symmetry and anti-symmetry of the Binomial matrix X.

G. transform coding, and subband coding — against each other. For convenience, we take as the base of this measure the distortion induced in the most primitive coding method, that of pulse code modulation (PCM), and compare the coding gain of other methods to this base. 1 Decorrelation, Energy Compaction, and the KLT Transform efficiency is measured by the decorrelation and energy compaction provided by the given transformation. To develop these measures, we need to model the data source in a statistical way, in particular, by the variances and covariances of the signal source.

Download PDF sample

Rated 5.00 of 5 – based on 18 votes