Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Deep Learning

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

Computational geometry

The authors discuss high-voltage power conversion. Conventional series connection and three-level voltage source inverter techniques are reviewed and compared. A novel versatile multilevel commutation cell is introduced: it is shown that this topology is safer and more simple to control, and delivers purer output waveforms. The authors show how this technique can be applied to either choppers or voltage-source inverters and generalized to any number of switches.<<ETX>>

Multi-level conversion : high voltage choppers and voltage-source inverters

Nanotechnology is the science of understanding matter and the control of matter at dimensions of 100 nm or less. Encompassing nanoscale science, engineering, and technology, nanotechnology involves imaging, measuring, modeling, and manipulation of matter at this level of precision. An important aspect of research in nanotechnology involves precision control and manipulation of devices and materials at a nanoscale, i.e., nanopositioning. Nanopositioners are precision mechatronic systems designed to move objects over a small range with a resolution down to a fraction of an atomic diameter. The desired attributes of a nanopositioner are extremely high resolution, accuracy, stability, and fast response. The key to successful nanopositioning is accurate position sensing and feedback control of the motion. This paper presents an overview of nanopositioning technologies and devices emphasizing the key role of advanced control techniques in improving precision, accuracy, and speed of operation of these systems.

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A Survey of Control Issues in Nanopositioning

A dual-band triple mode radio compliant with the IEEE 802.11 a/b/g standard implemented in a 0.18 μm CMOS process b presented. The transceiver is compatible with a large number of basebands due to its flexible interface towards AD / DA converters and on-chip automatic calibration of-on-chip filters and oscillators. The transceiver achieves a receiver noise figure of 4.9/5.MB for the 2.4GHz/5GHz bands, respectively, and a minimum transmit error vector magnitude (EVM) of 2.5% for both bands. A quadrature accuracy of 0.3° in phase and 0.05dB in amplitude is achieved through careful analysis and design of the I/Q generation parts of the local oscillator. The local oscillators achieve a better than -34dBc total integrated phase noise. The chip passes ± human body model ESD testing on all pins, including the RF pins. The total die area is 12mm2. The power consumption is 207mW in the receive mode and 247mW in the transmit made using a 1.8Vsupply.

A single chip 802.11 a/b/g WLAN transceiver

This paper proposes a novel area-efficient and cost-effective design methodology for MOSFET-C continuous-time filters. The new methodology reduces the number of MOS transistors used in the previously reported work by almost a factor of two. A third-order leapfrog low-pass Chebyschev filter is realized and simulated as an example to demonstrate the validity of the new design methodology.

A novel area-efficient MOSFET-C filter design methodology

The functional yield is becoming increasingly critical in VLSI design. As feature sizes move into the deep submicron ranges and power supply voltages are reduced, the effect of both device mismatch and inter-die process variations on the performance and reliability of analog integrated circuits is magnified. The statistical MOS (SMOS) model accounts for both inter-die and intra-die variations. A new transconductor, statistically robust with good yield is discussed in this paper. The circuit operates in the saturation region with fully balanced input signals. Initial circuit simulation results are given. Response Surface Methodology and Design of Experiment techniques were used as statistical VLSI design tools combined with the SMOS model. Device size optimization and yield enhancement have been demonstrated.

Statistical design of a transconductor using a low voltage CMOS square-law composite cell

A CMOS low power baseband chain for an integrated Bluetooth receiver is presented. The chain is designed using a new fully differential buffer (FDB) circuit that can effectively implement filters with gain/filtering interleaved operations. The baseband chain utilizes five FDB circuits to implement a 6th order low noise high linearity pre-filter, a 6th order MOS-C tunable filter and a variable gain amplifier (VGA). The distribution of gain and filtering between the various blocks simplifies the design of the VGA stages and allows a good compromise between the input referred noise and the overall linearity. The chain achieves an input referred noise less than 45nV//spl radic/(Hz) and an out of band IIP3 of more than 12dBm.

A buffer based CMOS baseband chain for Bluetooth receiver

A digital calibration algorithm that provides a systematic method for implementing accurate integrated resistors without compromising linearity or noise performance is described. The technique uses a single external resistor as a reference to implement multiple, different valued integrated resistors without requiring any accurate reference voltage. The algorithm provides a method to calibrate several on-chip resistors without replicating the calibration circuit, and it can achieve an arbitrary accuracy limited only by the external resistor's accuracy and mismatch errors. Terminations for two high speed wire line transceivers are implemented using the algorithm and simulations and measurements results show adequate performance across process, temperature, and supply voltage.

Mohammed Ismail

Papers

A single chip 802.11 a/b/g WLAN transceiver

A novel area-efficient MOSFET-C filter design methodology

Statistical design of a transconductor using a low voltage CMOS square-law composite cell

A buffer based CMOS baseband chain for Bluetooth receiver

A digital calibration algorithm for implementing accurate on-chip resistors