Mimo Perfomance Measures -A Signal Processing Point of View

2005 ◽  
Author(s):  
M.T. Ivrlac ◽  
J.A. Nossek
Keyword(s):  
Signal Processing ◽  
Point Of View ◽  
Processing Point

scholarly journals Signal Processing for Nondifferentiable Data Defined on Cantor Sets: A Local Fractional Fourier Series Approach

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zhi-Yong Chen ◽  
Carlo Cattani ◽  
Wei-Ping Zhong
Keyword(s):  
Signal Processing ◽  
Fourier Series ◽  
Fractional Calculus ◽  
Present Method ◽  
Continuous Functions ◽  
Cantor Sets ◽  
Point Of View ◽  
Local Fractional Calculus ◽  
Processing Point

From the signal processing point of view, the nondifferentiable data defined on the Cantor sets are investigated in this paper. The local fractional Fourier series is used to process the signals, which are the local fractional continuous functions. Our results can be observed as significant extensions of the previously known results for the Fourier series in the framework of the local fractional calculus. Some examples are given to illustrate the efficiency and implementation of the present method.

A SIMILARITY METRIC IN IMAGE SEARCHING

2007 ◽  
Vol 07 (02) ◽  
pp. 211-225
Author(s):  
XUELONG LI ◽  
JING LI ◽  
DACHENG TAO ◽  
YUAN YUAN
Keyword(s):  
Signal Processing ◽  
System Performance ◽  
Ground Truth ◽  
Point Of View ◽  
Visual Features ◽  
Similarity Metrics ◽  
Graphical Interface ◽  
Similarity Metric ◽  
Processing Point ◽  
Small Image

Similarity metric is a key component in query-by-example image searching with visual features. After extraction of image visual features, the scheme of computing their similarities can affect the system performance dramatically — the image searching results are normally displayed in decreasing order of similarity (alternatively, increasing order of distance) on the graphical interface for end users. Unfortunately, conventional similarity metrics, in image searching with visual features, usually encounter several difficulties, namely, lighting, background, and viewpoint problems. From the signal processing point of view, this paper introduces a novel similarity metric and therefore reduces the above three problems to some extent. The effectiveness of this newly developed similarity metric is demonstrated by a set of experiments upon a small image ground truth.

On the Noise-Enhancing Ability of Stochastic Hodgkin-Huxley Neuron Systems

2010 ◽  
Vol 22 (7) ◽  
pp. 1737-1763 ◽  
Author(s):  
Bor-Sen Chen ◽  
Cheng-Wei Li
Keyword(s):  
Signal Processing ◽  
Ionic Channels ◽  
Point Of View ◽  
Linear Matrix ◽  
Neuron System ◽  
Fuzzy Interpolation ◽  
Enhancing Factor ◽  
Synaptic Noise ◽  
Nonlinear Noise ◽  
Noise Input

Recently noise has been shown to be useful in enhancing neuron sensitivity by stochastic resonance. In this study, in order to measure the noise-enhancing factor (NEF), a nonlinear stochastic model is introduced for the Hodgkin-Huxley (HH) neuron system with synaptic noise input stimulation and channel noises in the sodium and potassium channels. The enhancing factor of the HH neuron system is measured from the point of view of the noise-exploiting level of nonlinear stochastic H∞ signal processing. Since the nonlinear stochastic-enhancing measure problem of HH neuron systems requires a solution for the difficulty presented by the Hamilton Jacobi inequality (HJI), a fuzzy interpolation of locally linearized systems is employed to simplify the nonlinear noise-enhancing problems by solving only a set of linear matrix inequalities. The NEF of the HH neuron system is found to be related to the locations of eigenvalues of linearized HH neuron systems and can be estimated through the H∞ signal processing method. Based on a stochastic fuzzy linearized HH neuron system, we found that channel noises are enhanced by the active eigenvalues of ionic channels while synaptic noises are attenuated by the passive eigenvalues of synaptic process.

scholarly journals ON CLASSICAL TELEPORTATION AND CLASSICAL NON-LOCALITY

2006 ◽  
Vol 04 (01) ◽  
pp. 161-171 ◽  
Author(s):  
TAL MOR
Keyword(s):  
Probability Distribution ◽  
Point Of View ◽  
Entangled State ◽  
Classical Information ◽  
The North ◽  
Classical State ◽  
Quantum Non Locality ◽  
Classical Analogue ◽  
Processing Point ◽  
Non Locality

An interesting protocol for classical teleportation of an unknown classical state was recently suggested by Cohen, and by Gour and Meyer. In that protocol, Bob can sample from a probability distribution [Formula: see text] that is given to Alice, even if Alice has absolutely no knowledge about [Formula: see text]. Pursuing a similar line of thought, we suggest here a limited form of non-locality — "classical non-locality." Our non-locality is the (somewhat limited) classical analogue of the Hughston–Jozsa–Wootters (HJW) quantum non-locality. The HJW non-locality (also known as "quantum remote steering") tells us how, for a given density matrix ρ, Alice can generate any ρ-ensemble on the North Star. This is done using surprisingly few resources — one shared entangled state (prepared in advance), one generalized quantum measurement, and no communication. Similarly, our classical non-locality (which we call "classical remote steering") presents how, for a given probability distribution [Formula: see text], Alice can generate any [Formula: see text]-ensemble on the North Star, using only one correlated state (prepared in advance), one (generalized) classical measurement, and no communication. It is important to clarify that while the classical teleportation and the classical non-locality protocols are probably rather insignificant from a classical information processing point of view, they significantly contribute to our understanding of what exactly is quantum in their well established and highly famous quantum analogues.

Conceptual Features of a Complex Vision of the World

2021 ◽  
pp. 49-52
Author(s):  
Yakov I. Svirsky ◽  
Keyword(s):  
Point Of View ◽  
Science Technology ◽  
Modern Natural ◽  
Modern Natural Science ◽  
The World ◽  
Static View ◽  
Almost All ◽  
The Universe ◽  
Genetic Principle ◽  
Processing Point

Today, almost all spheres of human existence are interpreted – directly or indi­rectly – as permanently becoming, interpreted from a processing point of view realities that do not imply either final fixation or predetermined ultimate goals or states. The world appears not so much in the form of difficult composite dy­namic formation in mechanistic sense, but in the form of mobile, continuously becoming environment, which presupposes special technical researches and ways of staying in it. Such techniques and methods lead to the formation of a non-trivial vision of the universe. And such a vision, aimed at comprehending of emerging realities, presupposing conceptual shifts in modern natural science, technology, humanitarian activity, and more broadly in the very perception of na­ture and society, V.I. Arshinov endows with the epithet “complexity”. In the pro­posed text, a small fragment from the creative heritage of one of the most influ­ential philosophers J. Simondon will be considered, allowing to partially reveal the features of such complexitly oriented thinking. The central theme of Simon­don's philosophical strategy is the conceptualization of how the becomings of beings are realized, or how beings (inanimate, living, technical, mental, social) are individuated. Simondon begins the discussion of this plot with criticism of the hylemorphic scheme, which posits the genetic principle of existence in the form-matter dichotomy and, above all, in the interpretation and theoretical use of such a dichotomy by Aristotle, since, according to Simondon, it was this pair that contributed to the formation of a static view on the world, man and society. In different performances, the form-matter dichotomy can be interpreted in the form of mind-body dichotomies, artificial-natural, living-nonliving, etc. Note that Simondon begins his criticism with the technological substantiation of the hylemorphic scheme, referring to the operation of making a parallelepiped brick from clay

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