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

A general model is introduced which is capable of making accurate, quantitative predictions about the phase noise of different types of electrical oscillators by acknowledging the true periodically time-varying nature of all oscillators. This new approach also elucidates several previously unknown design criteria for reducing close-in phase noise by identifying the mechanisms by which intrinsic device noise and external noise sources contribute to the total phase noise. In particular, it explains the details of how 1/f noise in a device upconverts into close-in phase noise and identifies methods to suppress this upconversion. The theory also naturally accommodates cyclostationary noise sources, leading to additional important design insights. The model reduces to previously available phase noise models as special cases. Excellent agreement among theory, simulations, and measurements is observed.

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A general theory of phase noise in electrical oscillators

http://ieeexplore.ieee.org/iel5/5610941/5624686/05624745.pdf

Power electronics

A multiobjective optimization problem involves several conflicting objectives and has a set of Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary algorithms (MOEAs) are able to approximate the Pareto optimal set in a single run. MOEAs have attracted a lot of research effort during the last 20 years, and they are still one of the hottest research areas in the field of evolutionary computation. This paper surveys the development of MOEAs primarily during the last eight years. It covers algorithmic frameworks such as decomposition-based MOEAs (MOEA/Ds), memetic MOEAs, coevolutionary MOEAs, selection and offspring reproduction operators, MOEAs with specific search methods, MOEAs for multimodal problems, constraint handling and MOEAs, computationally expensive multiobjective optimization problems (MOPs), dynamic MOPs, noisy MOPs, combinatorial and discrete MOPs, benchmark problems, performance indicators, and applications. In addition, some future research issues are also presented.

Multiobjective evolutionary algorithms: A survey of the state of the art

We consider radio applications in sensor networks, where the nodes operate on batteries so that energy consumption must be minimized, while satisfying given throughput and delay requirements. In this context, we analyze the best modulation and transmission strategy to minimize the total energy consumption required to send a given number of bits. The total energy consumption includes both the transmission energy and the circuit energy consumption. We first consider multi-input-multi-output (MIMO) systems based on Alamouti diversity schemes, which have good spectral efficiency but also more circuitry that consumes energy. We then extend our energy-efficiency analysis of MIMO systems to individual single-antenna nodes that cooperate to form multiple-antenna transmitters or receivers. By transmitting and/or receiving information jointly, we show that tremendous energy saving is possible for transmission distances larger than a given threshold, even when we take into account the local energy cost necessary for joint information transmission and reception. We also show that over some distance ranges, cooperative MIMO transmission and reception can simultaneously achieve both energy savings and delay reduction.

Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks

A completely integrated 1.8-GHz low-phase-noise voltage-controlled oscillator (VCO) has been realized in a standard silicon digital CMOS process. The design relies heavily on the integrated spiral inductors which have been realized with only two metal layers and without etching. The effects of high-frequency magnetic fields and losses in the heavily doped substrate have been simulated and modeled with finite-element analysis. The achieved phase noise is as low as -116 dBc/Hz at an offset frequency of 600 kHz, at a power consumption of only 6 mW. The VCO is tuned with standard available junction capacitances, resulting in a 250-MHz tuning range.

/pdf/a-1-8-ghz-low-phase-noise-cmos-vco-using-optimized-hollow-37rl9hcum8.pdf

A 1.8-GHz low-phase-noise CMOS VCO using optimized hollow spiral inductors

A CMOS low-power low-noise monolithic instrumentation amplifier (IA) is described. The power drain is reduced by use of current feedback and by use of only single-stage operational transconductance amplifiers in the low-frequency loop. The bandwidth of the IA is designed for medical purposes (0.5-500 Hz) and it can produce variable gains of 14/20/26/40 dB, which are set by control software.

A micropower low-noise monolithic instrumentation amplifier for medical purposes

When it comes to integratability, the zero-intermediate frequency (IF) receiver is an alternative for the heterodyne or IF receiver. In recent years, the zero-IF receiver has been introduced in several applications, but its performance cannot be compared to that of the IF receiver yet. This lower performance is closely related to its baseband operation, resulting in filter saturation and distortion, both caused by DC-offsets and self-mixing at the inputs of the mixers. The low-IF receiver has a topology which is closely related to the zero-IF receiver, but it does not operate in the baseband, only near the baseband. The consequences are that, as for the zero-IF receiver, the implementation of a low-IF receiver can be done with a high degree of integration, however, its performance can be better. In this paper, the fundamental principles of the low-IF receiver topology are introduced. Different low-IF receiver topologies are synthesized and fully analyzed in this paper. This is done by applying the complex signal technique-a technique used in digital applications to the study of analog receiver front ends.

Low-IF topologies for high-performance analog front ends of fully integrated receivers

An analog receiver front end chip realized in a 0.7 /spl mu/m CMOS technology is presented. It uses a new, high performance, downconverter topology, called double quadrature downconverter, that achieves a phase accuracy of less than 0.3/spl deg/ in a large passband around 900 MHz, without requiring any external component or any tuning or trimming. A high performance low-IF receiver topology is developed with this double quadrature downconverter. The proposed low-IF receiver combines the advantages of both the classical IF receiver and the zero IF receiver: an excellent performance and a very high degree of integration. In this way, it becomes possible to realize a true fully integrated receiver front-end that does not require a single external component and which is, different from the zero-IF receiver, nonetheless totally insensitive to parasitic baseband signals and self-mixing products.

A single-chip 900 MHz CMOS receiver front-end with a high performance low-IF topology

In this paper, a 10-bit 1-GSample/s current-steering CMOS digital-to-analog (D/A) converter is presented. The measured integral nonlinearity is better than /spl plusmn/0.2 LSB and the measured differential nonlinearity lies between -0.08 and 0.14 LSB proving the 10-bit accuracy. The 1-GSample/s conversion rate has been obtained by an, at transistor level, fully custom-designed thermometer decoder and synchronization circuit. The layout has been carefully optimized. The parasitic interconnect loads have been estimated and have been iterated in the circuit design. A spurious-free dynamic range (SFDR) of more than 61 dB has been measured in the interval from dc to Nyquist. The power consumption equals 110 mW for a near-Nyquist sinusoidal output signal at a 1-GHz clock. The chip has been processed in a standard 0.35-/spl mu/m CMOS technology and has an active area of only 0.35 mm/sup 2/.

Michiel Steyaert

Papers

A 1.8-GHz low-phase-noise CMOS VCO using optimized hollow spiral inductors

A micropower low-noise monolithic instrumentation amplifier for medical purposes

Low-IF topologies for high-performance analog front ends of fully integrated receivers

A single-chip 900 MHz CMOS receiver front-end with a high performance low-IF topology

A 10-bit 1-GSample/s Nyquist current-steering CMOS D/A converter