PCM test structures are commonly used to check the produced wafers from the standpoint of the technologist. In general these structures are managed inside the FAB and are focused on standard device properties. Hence their development and analysis is not driven by analog circuit blocks, which are sensitive or often used. Especially for DFM/Y of analog circuits the correlation between design and technology has to be defined. The knowledge of electrical behavior of test structures helps to improve the designer's sensitivity to technological questions. This paper presents a method to bring the PCM methodology into the analog circuit design to improve design performance, yield estimation and technology correlation. We show how both analog circuit and PCM blocks can be simulated and analyzed in the design phase.

Cette thèse a pour objectif de contribuer à la caractérisation et à la modélisation des transistors organiques en couches minces ou OTFTs (Organic Thin Film Transistors). Elle s’est déroulée en partenariat avec le CEA-LITEN qui dispose d'une technologie imprimée ayant démontré sa fonctionnalité à plusieurs reprises. Le but de ce travail est d'abord de comprendre le fonctionnement des transistors organiques afin de déterminer l'impact des paramètres technologiques sur les caractéristiques électriques. Ceci est fait en utilisant une approche par simulation grâce aux paramètres extraits à partir de la mesure. La dépendance en géométrie et en température des paramètres du transistor est observée et étudiée afin de proposer un modèle valide prenant en compte ces variations. Le modèle doit être intégrable dans les flots de conception classiques de la microélectronique (Cadence, Eldo, ADS, etc…). Des modèles de dispersion sont présentés et par la suite utilisés pour la simulation et la réalisation de circuits analogiques organiques. / This thesis focuses on a contribution of organic thin film transistors (OTFTs) characterization and modeling. It takes place in partnership with CEA-LITEN, which has a printed technology. This technology has demonstrated its functionality repeatedly. The goal is to first understand in depth the functioning of the organic transistors to determine the impact of technological parameters on electrical characteristics. This is done using a simulation approach using the parameters extracted from the measurements. The geometry and temperature dependences of the transistor parameters are observed and studied in order to provide a valid model for a wide range of geometry and temperature. The proposed model should respect the following constraints: an integrability in conventional design tools (Cadence, Eldo, ADS, etc...) and must also include a dispersion model. This model is subsequently used to produce blocks of analog circuits.

Durant ces trois années de doctorat, financées par le projet ANR MHANN (MemristiveHardware Analog Neural Network), nous nous sommes intéressés au développement d’une nouvelle architecture de calculateur à l’aide de réseaux de neurones. Les réseaux de neurones artificiels sont particulièrement bien adaptés à la reconnaissance d’images et peuvent être utilisés en complément des processeurs séquentiels. En 2008, une nouvelle technologie de composant a vu le jour : le memristor. Classé comme étant le quatrième élément passif, il est possible de modifier sa résistance en fonction de la densité de courant qui le traverse et de garder en mémoire ces changements. Grâce à leurs propriétés, les composants memristifs sont des candidats idéaux pour jouer le rôle des synapses au sein des réseaux de neurones artificiels. En effectuant des mesures sur la technologie des memristors ferroélectriques de l’UMjCNRS/Thalès de l’équipe de Julie Grollier, nous avons pu démontrer qu’il était possible d’obtenir un apprentissage de type STDP (Spike Timing Dependant Plasticity) classiquement utilisé avec les réseaux de neurones impulsionnels. Cette forme d’apprentissage, inspirée de la biologie, impose une variation des poids synaptiques en fonction des évènements neuronaux. En s’appuyant sur les mesures réalisées sur ces memristors et sur des simulations provenant d’un programme élaboré avec nos partenaires de l’INRIA Saclay, nous avons conçu successivement deux puces en silicium pour deux technologies de memristors ferroélectriques. La première technologie (BTO), moins performante, a été mise de côté au profit d’une seconde technologie (BFO). La seconde puce a été élaborée avec les retours d’expérience de la première puce. Elle contient deux couches d’un réseau de neurones impulsionnels dédié à l’apprentissage d’images de 81 pixels. En la connectant à un boitier contenant un crossbar de memristors, nous pourrons réaliser un démonstrateur d’un réseau de neurones hybride réalisé avec des synapses memristives ferroélectriques. / Supported financially by ANR MHANN project, this work proposes an architecture ofspiking neural network in order to recognize pictures, where traditional processing units are inefficient regarding this. In 2008, a new passive electrical component had been discovered : the memristor. Its resistance can be adjusted by applying a potential between its terminals. Behaving intrinsically as artificial synapses, memristives devices can be used inside artificial neural networks.We measure the variation in resistance of a ferroelectric memristor (obtained from UMjCNRS/Thalès) similar to the biological law STDP (Spike Timing Dependant Plasticity) used with spiking neurons. With our measurements on the memristor and our network simulation (aided by INRIASaclay) we designed successively two versions of the IC. The second IC design is driven by specifications of the first IC with additional functionalists. The second IC contains two layers of a spiking neural network dedicated to learn a picture of 81 pixels. A demonstrator of hybrid neural networks will be achieved by integrating a chip of memristive crossbar interfaced with thesecond IC.

Bandgap reference circuits are used in a host of analog, digital, and mixed-signal systems to establish an accurate voltage standard for the entire IC. The accuracy of the bandgap reference voltage under steady-state (dc) and transient (ac) conditions is critical to obtain high system performance. In this work, the impact of process, power-supply, load, and temperature variations and package stresses on the dc and ac accuracy of bandgap reference circuits has been analyzed. Based on this analysis, the a bandgap reference that 1. has high dc accuracy despite process and temperature variations and package stresses, without resorting to expensive trimming or noisy switching schemes, 2. has high dc and ac accuracy despite power-supply variations, without using large off-chip capacitors that increase bill-of-material costs, 3. has high dc and ac accuracy despite load variations, without resorting to error-inducing buffers, 4. is capable of producing a sub-bandgap reference voltage with a low power-supply, to enable it to operate in modern, battery-operated portable applications, 5. utilizes a standard CMOS process, to lower manufacturing costs, and 6. is integrated, to consume less board space has been proposed. The functionality of critical components of the system has been verified through prototypes after which the performance of the complete system has been evaluated by integrating all the individual components on an IC. The proposed CMOS bandgap reference can withstand 5mA of load variations while generating a reference voltage of 890mV that is accurate with respect to temperature to the first order. It exhibits a trimless, dc 3-sigma accuracy performance of 0.84% over a temperature range of -40°C to 125°C and has a worst case ac power-supply ripple rejection (PSRR) performance of 30dB up to 50MHz using 60pF of on-chip capacitance. All the proposed techniques lead to the development of a CMOS bandgap reference that meets the low-cost, high-accuracy demands of state-of-the-art System-on-Chip environments.

This thesis deals with the reliability analysis of a fuel pump driver circuit (FPDC), which regulates the amount of fuel pumped to a turbojet engine. Reliability analysis in such critical circuits has great importance since unexpected failures may cause serious financial loss and even human death. In this study, two types of reliability analysis are used: &ldquo / Worst Case Circuit Tolerance Analysis&rdquo / (WCCTA) and &ldquo / Failure Modes and Effects Analysis&rdquo / (FMEA). WCCTA involves the analysis of the circuit operation under varying parameters in their tolerance bands. These parameters include the resistances of the resistors, operating temperature and voltage input value. The operation of FPDC is checked and the most critical parameters are determined in the worst case conditions. While performing WCCTA, a method that guarantees the exact worst case conditions is used rather than probabilistic methods like Monte Carlo analysis. The results showed that the parameter variations do not affect the circuit operation unfavorably / operating temperature, voltage input variation and tolerance bands for the resistances are fairly compatible with the circuit operation. FMEA is implemented according to the short circuit and open circuit failures of all the electronic components used in FPDC. The components whose failure has catastrophic effect on the circuit operation have been determined and some preventive actions have been offered for some catastrophic failures.

Αντικείμενο της παρούσας Ειδικής Επιστημονικής Εργασίας είναι η ανάπτυξη φίλτρων στο πεδίο της τετραγωνικής ρίζας με τη μέθοδο του γραμμικού μετασχηματισμού (Linear Transformation). Ως παράδειγμα, δίνεται η σχεδίαση, η εξομοίωση και τέλος η φυσική σχεδίαση ενός ελλειπτικού βαθυπερατού φίλτρου 3ης τάξης στο πεδίο της τετραγωνικής ρίζας (Square-Root Domain). Για λόγους σύγκρισης, η σχεδίαση του φίλτρου γίνεται με τέσσερις διαφορετικές μεθόδους εξομοίωσης παθητικών φίλτρων (Leapfrog, Topologic, Wave και Linear Trasformation method) και η ανάλυση κάθε μεθόδου παρουσιάζεται σε αντίστοιχο κεφάλαιο. / The subject of this master thesis is the design of analog filters in square root domain utilizing the method of Linear Transformation. As a design example a third order elliptic lowpass filter transfer function will be realized. For comparison results we are using four different design methods (Leapfrog, Topologic, Wave and Linear Trasformation)in order to realize such filter. Each synthesis method is demonstrated in different chapter.

Translinear circuits are circuits in which the exponential relationship between the output current and input voltage of a circuit element is exploited to realize various algebraic or differential equations. This thesis is concerned with a subclass of translinear circuits, in which the basic translinear element, called a multiple-input translinear element (MITE), has an output current that is exponentially related to a weighted sum of its input voltages. MITE networks can be used for the implementation of the same class of functions as traditional translinear circuits. The implementation of algebraic or (algebraic) differential equations using MITEs can be reduced to the implementation of the product-of-power-law (POPL) relationships, in which an output is given by the product of inputs raised to different powers. Hence, the synthesis of POPL relationships, and their optimization with respect to the relevant cost functions, is very important in the theory of MITE networks. In this thesis, different constraints on the topology of POPL networks that result in desirable system behavior are explored and different methods of synthesis, subject to these constraints, are developed. The constraints are usually conditions on certain matrices of the network, which characterize the weights in the relevant MITEs. Some of these constraints are related to the uniqueness of the operating point of the network and the stability of the network. Conditions that satisfy these constraints are developed in this work. The cost functions to be minimized are the number of MITEs and the number of input gates in each MITE. A complete solution to POPL network synthesis is presented here that minimizes the number of MITEs first and then minimizes the number of input gates to each MITE. A procedure for synthesizing POPL relationships optimally when the number of gates is minimal, i.e., 2, has also been developed here for the single--output case. A MITE structure that produces the maximum number of functions with minimal reconfigurability is developed for use in MITE field--programmable analog arrays. The extension of these constraints to the synthesis of linear filters is also explored, the constraint here being that the filter network should have a unique operating point in the presence of nonidealities. Synthesis examples presented here include nonlinear functions like the arctangent and the gaussian function which find application in analog implementations of particle filters. Synthesis of dynamical systems is presented here using the examples of a Lorenz system and a sinusoidal oscillator. The procedures developed here provide a structured way to automate the synthesis of nonlinear algebraic functions and differential equations using MITEs.

A simple methodology for determining the input referred offset voltage of comparators is presented. This in general is difficult as the output of a comparator is discrete valued. The method relies on a Monte-Carlo-Simulation with certain comparator input values and some postprocessing of the comparator output data. The comparator is always operated in its intended environment, there is no modification of the comparator itself nor some unusual stimuli required. There is also no known restriction for the type of comparators to be analyzed.

A la différence de la conception numérique, la conception analogique souffre d’un réel retard au niveau de la solution logicielle qui permet une conception à la fois rapide et fiable. Le dimensionnement de circuits analogiques exige en effet un nombre assez élevé de simulations et de vérifications et dépend beaucoup de l’expertise du concepteur. Pour pallier à ce retard, des outils de conception automatique basés sur des algorithmes d’optimisation locale et globale sont développés. Ces outils restent encore immatures car ils n’offrent que des réponses partielles aux questions du dimensionnement, alors que l’obtention d’un dimensionnement optimal d’un circuit analogique en un temps raisonnable reste toujours un enjeu majeur. La réduction du temps de conception de circuits analogiques intégrés nécessite la mise en place de méthodologies permettant une conception systématique et automatisable sur certaines étapes. Dans le cadre de cette thèse, nous avons travaillé suivant trois approches. Il s’agit d’abord de l’approche méthodologique. A ce niveau nous préconisons une approche hiérarchique descendante « top-down ». Cette dernière consiste à partitionner le système à dimensionner en sous blocs de fonctions élémentaires dont les spécifications sont directement héritées des spécifications du niveau système. Ensuite, nous avons cherché à réduire le temps de conception à travers l’exploration de solutions optimales à l’aide des algorithmes hybrides. Nous avons cherché à profiter de la rapidité de la recherche globale et de la précision de la recherche locale. L’intérêt des algorithmes de recherche hybride réside dans le fait qu’ils permettent d’effectuer une exploration efficace de l’espace de conception du circuit sans avoir besoin d’une connaissance préalable d’un dimensionnement initial. Ce qui peut être très intéressant pour un concepteur débutant. Enfin, nous avons travaillé sur l’accélération du temps des simulations en proposant l’utilisation des méta-modèles. Ceux-ci présentent un temps de simulation beaucoup plus réduit que celui des simulations des modèles électriques. Les méta-modèles sont obtenus automatiquement depuis une extraction des résultats des simulations électriques. / Contrary to digital design, analog design suffers from a real delay in the software solution that enables fast and reliable design. In this PhD, three approaches are proposed. The first is the methodological approach. At this level we recommend a "top-down" hierarchical approach. It consists of partitioning the system to size into sub-blocks of elementary functions whose specifications are directly inherited from the system level specification. Next, we aimed to reduce design time through the exploration of optimal solutions using hybrid algorithms. We attempted to take advantage of the rapid global search and local search accuracy. The interest of hybrid search algorithms is that they allow to conduct effective exploration of the design space of the circuit without the need for prior knowledge of an initial design. This can be very useful for a beginner designer. Finally, we worked on the acceleration of time simulations proposing the use of meta-models which present a more reduced time than electrical simulation models. Meta-models are obtained automatically from extracting results of electrical simulations.

We investigated two design strategies that would allow us to efficiently process audio signals on embedded systems such as mobile phones and portable electronics. In the first strategy, we exploit properties of the human auditory system to process audio signals. We designed a sound enhancement algorithm to make piezoelectric loudspeakers sound "richer" and "fuller," using a combination of bass extension and dynamic range compression. We also developed an audio energy reduction algorithm for loudspeaker power management by suppressing signal energy below the masking threshold. In the second strategy, we use low-power analog circuits to process the signal before digitizing it. We designed an analog front-end for sound detection and implemented it on a field programmable analog array (FPAA). The sound classifier front-end can be used in a wide range of applications because programmable floating-gate transistors are employed to store classifier weights. Moreover, we incorporated a feature selection algorithm to simplify the analog front-end. A machine learning algorithm AdaBoost is used to select the most relevant features for a particular sound detection application. We also designed the circuits to implement the AdaBoost-based analog classifier.