Download Advances in Heuristic Signal Processing and Applications by Bingo Wing-Kuen Ling, Charlotte Yuk-Fan Ho (auth.), Amitava PDF

By Bingo Wing-Kuen Ling, Charlotte Yuk-Fan Ho (auth.), Amitava Chatterjee, Hadi Nobahari, Patrick Siarry (eds.)

There were major advancements within the layout and alertness of algorithms for either one-dimensional sign processing and multidimensional sign processing, particularly picture and video processing, with the hot concentration altering from a step by step technique of designing the set of rules first and following up with in-depth research and function development to in its place employing heuristic-based how to resolve signal-processing difficulties.

In this booklet the contributing authors reveal either general-purpose algorithms and people aimed toward fixing really good software difficulties, with a distinct emphasis on heuristic iterative optimization equipment using smooth evolutionary and swarm intelligence dependent suggestions. The functions thought of are in domain names equivalent to communications engineering, estimation and monitoring, electronic clear out layout, instant sensor networks, bioelectric sign type, photograph denoising, and photo characteristic monitoring.

The e-book provides fascinating, cutting-edge methodologies for fixing real-world difficulties and it's a compatible reference for researchers and engineers within the components of heuristics and sign processing.

Show description

Read or Download Advances in Heuristic Signal Processing and Applications PDF

Best nonfiction_9 books

Dioxins and Health, Second Edition

Dioxins are the main effective, popular, and durable of the chronic natural pollution (POPS), and are of serious curiosity in public healthiness, toxicology, chemistry, medication, legislations, and to regulatory corporations around the world. within the years on account that ebook of the 1st version of Dioxins and wellbeing and fitness, significant advances were made in human epidemiology in addition to in animal experiences.

Phytoremediation of Metal-Contaminated Soils

Phytoremediation, using vegetation to remediate environmental media, is being pursued as a brand new strategy for the cleanup of infected soils and waters, together with groundwater. Plant-assisted bioremediation, occasionally known as one of those phytoremediation, contains the interplay of plant roots and the microorganisms linked to those root platforms to re- diate soils containing increased concentrations of natural compounds.

Radionuclide and Hybrid Bone Imaging

This booklet, written by way of authors with nationwide and overseas reputations within the box, covers all elements of radionuclide and hybrid bone imaging. Introductory sections current the fundamental technological know-how and view the present prestige and obstacles of traditional radiological recommendations. The underlying ideas of PET-CT and SPECT-CT are conscientiously defined, and the worth of alternative puppy and SPECT tracers, assessed.

Caper: The Genus Capparis

Caper: The Genus Capparis provides a pharmacognostic and ethnopharmacological exploration of the genus Capparis, emphasizing its medicinal power. there's a lengthy heritage of secure utilization of Capparis components either in vitamin and as plant medicinal drugs during the international, and the main points of this utilization are summarized in 39 tables overlaying various Capparis species.

Additional resources for Advances in Heuristic Signal Processing and Applications

Example text

Often, the desirable optimization functions are very different and even conflicting to each other, which give rise to dissimilar parameter values for the optimal waveform. To tackle this quandary, the multi-objective optimization (MOO) procedures are employed that concurrently optimize the various objective functions in a Pareto-sense [1, 2, 15, 16, 48]. This type of optimality was originally introduced by Francis Ysidro Edgeworth in 1881 [20] and later generalized by Vilfredo Pareto in 1896 [37].

The nonzero components of the sparse vector in this model correspond to the scattering coefficients of the target at the true signal paths and target velocity. The formulation of a sparse-measurement model transforms a target-detection problem into a task of estimating the nonzero coefficients of a sparse signal. To 38 S. Sen et al. estimate the sparse vector, we propose a sparse-recovery algorithm based on the Dantzig selector (DS) approach [8]. The DS approach belongs to the class of convex relaxation methods in which the 0 norm is replaced by the 1 norm that remains a measure of sparsity while being a convex function.

L(Nβ −1) (n)]T represents an equivalent sparsitybased modeling of φ l (n); • ζ l = [ζl0 , ζl1 , . . , ζli = xlp 0 if i = p, otherwise. 12) and following the approach presented in Sect. 14) where • = [(A (0))T . . (A (N − 1))T ]T is an LN × LNβ sparse-measurement matrix containing all the viable Doppler information in terms of the L × LNβ dimensional matrices (n) = blkdiag(φ 0 (n)T , φ 1 (n)T , . . , φ L−1 (n)T ); • ζ = [ζ T0 , ζ T1 , . . , ζ TL−1 ]T is an LNβ × 1 sparse-vector that has LP nonzero entries representing the scattering coefficients of the target along all the P received paths and L subcarriers.

Download PDF sample

Rated 4.01 of 5 – based on 33 votes