THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

An innovative fractional order LMS based on variable initial value and gradient order

Cognitive radio system (CRS) is a radio system which is aware of its operational and geographical environment, established policies, and its internal state. It is able to dynamically and autonomously adapt its operational parameters and protocols and to learn fromits previous experience. Based on software-defined radio (SDR), CRS provides additional flexibility and offers improved efficiency to overall spectrum use. CRS is a disruptive technology targeting very high spectral efficiency. This paper presents an overview and challenges of CRS with focus on radio frequency (RF) section. We summarize the status of the related regulation and standardization activities which are very important for the success of any emerging technology. We point out some key research challenges, especially implementation challenges of cognitive radio (CR). A particular focus is on RF front-end, transceiver, and analog-to-digital and digital-to-analog interfaces which are still a key bottleneck in CRS development.

/pdf/cognitive-radio-rf-overview-and-challenges-26ipaljtjx.pdf

Cognitive radio RF: overview and challenges

pdf/a-new-kernel-based-approach-to-system-identification-with-5ek82uet1d.pdf

A new kernel-based approach to system identification with quantized output data

In this paper, a novel optical microelectromechanical systems accelerometer sensor is proposed by using a two-dimensional photonic crystal add-drop filter which is relied on a wavelength modulation approach The proposed optical sensing system consists of a laser diode light source, tunable add-drop filter based on ring resonator principal, photo-detector, and integrated waveguides Simulation results show that the functional characteristics of the proposed sensor are as follows: mechanical sensitivity of 16 nm/g, linear measurement range of $-$ 156 to 156 g, optical sensitivity of 00756 nm/g, and first resonance frequency of 129 kHz These functional characteristics make it very interesting in a wide spectrum of applications, ranging from consumer electronics to automotive and inertial navigation

An Optical MEMS Accelerometer Based on a Two-Dimensional Photonic Crystal Add-Drop Filter

https://hal-supelec.archives-ouvertes.fr/hal-00747809/document

Convergence analysis of an online approach to parameter estimation problems based on binary observations

This article presents a digital-enhanced radio frequency receiver for fast wide-band spectrum sensing. It is based on charge sampling and hybrid filter bank techniques. The charge sampling method is employed to design analog bandpass filters. Using a hybrid filter bank for wide-band analog-to-digital conversion improves the speed and resolution of the conversion. We propose to use these techniques in combination of frequency-division multiplexing with time-division multiplexing to design an integrated, completely software reconfigurable and reliable backend of radio frequency receiver for cognitive radio applications.

/pdf/wide-band-multipath-a-to-d-converter-for-cognitive-radio-kmhfghpedm.pdf

Wide-band multipath A to D converter for cognitive radio applications

This article presents the optimization process for a new architecture of digital-enhanced radio frequency receiver. This receiver is based on combining charge sampling filters and hybrid filter banks techniques. We describe the structure optimization based on a compromise between performance and implementation constraints. We then show the performances evaluation in system-level and electrical level simulations.

Optimization of bandpass charge sampling filters in hybrid filter banks converters for cognitive radio applications

Nous traitons le probleme de planification d'experiences robuste a l'erreur structurelle pour la regression, lorsque la structure de regression est parametrique et lineaire par rapport aux parametres. L'erreur structurelle est modelisee par un processus stochastique, gaussien ou plus generalement qui possede un moment d'ordre deux. On considere principalement le cas de l'estimation des parametres par moindres carres avec comme critere de performance du predicteur l'integrale de l'erreur quadratique de prediction (IEQP), mais la demarche reste valable pour les moindres carres ponderes et pour toute fonctionnelle lineaire de l'erreur de prediction. Les criteres d'optimalite retenus sont fondes sur l'esperance totale (par rapport a la loi conjointe du bruit et l'erreur structurelle) de l'IEQP et le quantile de l'IEQP, qu'on optimise pour les protocoles exacts a l'aide d'une methode par essaim de particules. L'optimisation du quantile a necessite de developper une methode numerique efficace pour l'approximation du quantile d'une somme de carres de variables gaussiennes centrees correlees. Le probleme de la dependance des protocoles vis-a-vis des hyperparametres (introduits par la fonction de covariance du processus stochastique) est traite par une approche de type maximin de l'efficacite, et aboutit a la definition d'un nouveau critere d'optimalite, dont l'optimisation est rendue possible par l'emploi d'une interpolation dans l'evaluation du critere. Les protocoles optimaux obtenus prouvent leurs bonnes performances vis-a-vis d'autres criteres et se comparent favorablement a d'autres protocoles issus de criteres de la litterature. L'application de la demarche a la conception d'un debitmetre robuste aux singularites de conduite permet d'illustrer comment introduire des connaissances a priori precises sur la nature de l'erreur structurelle, ici des donnees issues de codes aux elements finis.

https://tel.archives-ouvertes.fr/tel-00274258/document

Contributions à la planification d'expériences robuste à l'erreur structurelle

The increase in bandwidth of Power Amplifier (PA) input signals has led to the development of more complex behavioral PA models. Most recent models such as the Generalized Memory Polynomial (1) or the Polyharmonic distortion modeling (2) can be used to design very performant but complex and thus very consuming Digital Predistortion algorithms (DPDs). On the other hand, with earlier simpler models, the precision of the DPD may not be enough. The model order is also the major factor influencing the requirements in terms of bandwidth and dynamic range of the digitized signal in the feedback loop of a typical Power amplification system architecture: the higher the order, the more information is needed for identification. This paper describes a new mixed signal simulation platform developed to study the complexity vs. accuracy trade-off from the DPD point of view. The platform estimates the accuracy of the DPD and the power consumption (including the consumption of the DPD itself) of the whole feedback loop, by comparing various PA models with various DPDs algorithms. Contrary to older works, measuring the accuracy on the open loop without DPD and estimating the complexity in theoretical number of operations, our goal is to be able to estimate with precision the performances and the power consumption of the whole amplification system (PA + DPD + DAC + feedback loop) for optimization of DPD algorithms.

/pdf/a-new-mixed-signal-platform-to-study-the-accuracy-complexity-5bpv7mj0d6.pdf

A New Mixed Signal Platform to Study the Accuracy/Complexity Trade-Off of DPD Algorithms

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