Download e-book for iPad: An Analog VLSI System for Stereoscopic Vision by Misha Mahowald

By Misha Mahowald

ISBN-10: 0792394445

ISBN-13: 9780792394440

An Analog VLSI process for Stereoscopic imaginative and prescient investigates the interplay of the actual medium and the computation in either organic and analog VLSI structures by means of synthesizing a useful neuromorphic process in silicon. In either the synthesis and research of the procedure, some degree of view from in the procedure is followed instead of that of an omniscient fashion designer drawing a blueprint. this angle initiatives the layout and the clothier right into a residing panorama. the inducement for a machine-centered point of view is defined within the first bankruptcy. The moment bankruptcy describes the evolution of the silicon retina. The retina appropriately encodes visible info over orders of value of ambient illumination, utilizing mismatched elements which are calibrated as a part of the encoding technique. The visible abstraction created through the retina is appropriate for transmission via a constrained bandwidth channel. The 3rd bankruptcy introduces a normal procedure for interchip verbal exchange, the address-event illustration, that is used for transmission of retinal facts. The address-event illustration takes benefit of the rate of CMOS relative to organic neurons to maintain the knowledge of organic motion potentials utilizing electronic circuitry as opposed to axons. The fourth bankruptcy describes a collective circuit that computes stereodisparity. during this circuit, the processing that corrects for imperfections within the compensates for inherent ambiguity within the setting. The 5th bankruptcy demonstrates a primitive operating stereovision procedure. An Analog VLSI approach for Stereoscopic imaginative and prescient contributes to either computing device engineering and neuroscience at a concrete point. during the development of a operating analog of organic imaginative and prescient subsystems, new circuits for construction brain-style analog pcs were built. particular neuropysiological and psychophysical ends up in phrases of underlying digital mechanisms are defined. those examples reveal the application of utilizing organic rules for construction brain-style desktops and the importance of creating brain-style pcs for realizing the apprehensive procedure.

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16) Pour que la transformée de Fourier de s(t) existe et soit réciproque, il suffit que s(t) soit une fonction de carré sommable. Cela signifie que s(t), ainsi que sa transformée de Fourier, sont à énergie finie. Toutes les fonctions existant physiquement vérifient ces conditions parce qu’on les observe sur un temps fini. 2 Propriétés de la transformée de Fourier Nous avons une correspondance unique entre la fonction x(t) et sa transformée de Fourier X( f ) ou représentation spectrale. 2 Analyse spectrale des fonctions non périodiques 25 réciprocité sous la forme : F x(t) ←→ X( f ) Nous retrouvons les mêmes propriétés que pour le développement en série de Fourier.

4 Représentation spectrale bilatérale d’un signal sinusoïdal. 5 Représentation spectrale bilatérale d’un signal cosinusoïdal. 6 Représentation spectrale bilatérale du signal carré pair sc1 (t). 7 Représentation spectrale bilatérale du signal carré pair sc2 (t). 8 Représentation spectrale bilatérale du signal carré impair sc3 (t). 9 Représentation spectrale bilatérale du signal carré impair sc4 (t). 1 Analyse spectrale des fonctions périodiques 21 c) Signaux impulsionnels Représentation temporelle • Signal impulsionnel pair à composante continue nulle : s(t) = si1 (t) pour t < T0 avec si1 (t) = −A pour t ∈ [−T0 /2,t/2] et si1 (t) = A pour t ∈ [−t/2,t/2] et si1 (t) = −A pour t ∈ [t/2,T0 /2] • Signal impulsionnel pair à composante continue non nulle (= At/T0 ) : s(t) = si2 (t) 1 A soit : si2 (t) = · si1 (t) + 2 2 • Signal impulsionnel à composante continue nulle: s(t) = si3 (t) soit : si3 (t) = si1 (t + t/2) • Signal impulsionnel à composante continue non nulle (=At/T0 ) : s(t) = si4 (t) 1 A soit : si4 (t) = · si1 (t + t/2) + 2 2 −6F0 −2/τ +∞ Si2 ( f ) = Si2 ( f ) +∞ A·t sin (pnF0 t) = · · d ( f − n · F0 ) T0 n=−∞ pnF0 t (cf.

Lim en (t) −→ lim sn (t) n→+∞ n→+∞ Remarque : il est intéressant de noter qu’un « intégrateur pur » est un système continu, mais pas un « dérivateur pur ». T. e (t − u) −→ s (t − u) Les filtres sont définis comme des systèmes de transmission linéaires, continus et stationnaires. 2 La convolution a) Définition Une impulsion brève, injectée à l’entrée d’un système de transmission linéaire, continu et stationnaire, donne en sortie un signal de durée finie. Cette réponse est appelée réponse impulsionnelle (ou percussionnelle) du filtre et notée h(t).

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An Analog VLSI System for Stereoscopic Vision by Misha Mahowald


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