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Interlaced sampling for noise reduction

Interlaced sampling for noise reduction

引用

IEEE International Symposium on circuits and systems (ISCAS)

作者： V. Uhlemann B.J. Hosticka W. Brockherde Fraunhofer Institute of Microelectronic Circuits and System Duisburg Germany

New algorithms called interlaced-correlated-double and triple-sampling are presented that perform noise reduction in analog discrete-time circuits. Both are based on multiple correlated-double-sampling principle. Theoretical improvement of noise reduction has been verified using computer simulations. The contribution also discusses CMOS realization of the proposed method.< >

关键词： Sampling methods Noise reduction Low-frequency noise Frequency Signal processing algorithms Voltage Signal sampling Transfer functions Detectors Noise figure

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A parallel DSP-based neural network emulator with CMOS VLSI packet switching hardware

A parallel DSP-based neural network emulator with CMOS VLSI ...

引用

International Conference on Application Specific Array Processors

作者： M. Schwarz B.J. Hosticka M. Kesper P. Richert M. Scholles Fraunhofer Institute of Microelectronic Circuits and System Duisburg Germany

This work describes a parallel neural network emulator which uses standard DSPs and application-specific VLSI communication processors with an integrated hardware routing algorithm. The use of DSPs as programmable processing elements enables the emulation of different types of neurons including biologically inspired models with learnable synaptic weights and delays, variable neuron gain, and static and dynamic thresholding. Locally interconnected communication processors attached to each DSP can span up a 2D- or 3D-computing grid and thus form a highly parallel network topology capable of global packet switched routing.< >

关键词： Neural networks Very large scale integration Digital signal processing Neurons Communication standards Neural network hardware Emulation Biological system modeling Semiconductor device modeling Delay

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Monolithic Infrared Sensor system with Programmable Readout Electronics

Monolithic Infrared Sensor System with Programmable Readout ...

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European Conference on Solid-State circuits (ESSCIRC)

作者： R. Jahne W. Budde R. Gottfried-G H. Kuck M. Muller IMS2-Dresden Fraunhofer Institute of Microelectronic Circuits and System Dresden Germany

We report on a fully CMOS compatible infrared sensor with integrated signal amplification electronics. The IR sensor consists of 60 thermocouples of p + doped silicon and n-doped polysilicon electrically connected in series. Local SOI and an additional step of anisotropic backside etching have been used to achive a good thermal isolation between the hot and the cold junctions of the sensor. The signal amplification electronics has been realized using fully differential switched capacitor design techniques manufactured in a 2μm n-well CMOS-technology

关键词： Infrared sensors Readout electronics Thermal sensors Sensor systems circuits Energy consumption Biomembranes Voltage Differential amplifiers CMOS technology

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An extension to the analytical Gabor expansion with applications in image coding

An extension to the analytical Gabor expansion with applicat...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： A. Teuner P.A. Nielsen B.J. Hosticka Department of Electrical Engineering University of Duisburg-Essen Duisburg Germany Fraunhofer Institute of Microelectronic Circuits and System Duisburg Germany

We present an unified method that can be used to compute analytically the coefficients of the discrete non-orthogonal Gabor expansion for arbitrary type of orthogonal kernel. Based on the proposed algorithm an architecture is derived that enables a fast computation of modified time-frequency transforms such as Gabor-DCT. It is shown that for the special case of equidistant elementary cells the generalized Gabor transform can be modeled as a conventional block transform of modulated and filtered input signals. From this point of view it follows that the biorthogonal analysis window which is used in the modulation necessary for computation of the transform coefficients is independent of the selected orthogonal kernel. The problems caused by the non-stationarity of the modulated and filtered signal are discussed and the coding performance and energy compaction of the classical Gabor transform, the Gabor-DCT, and the well known block DCT are compared.< >

关键词： Image analysis Image coding Discrete transforms Kernel Discrete cosine transforms Signal processing algorithms Gabor filters Frequency Shape Discrete wavelet transforms

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A CMOS piezoresistive pressure sensor with on-chip programming and calibration

A CMOS piezoresistive pressure sensor with on-chip programmi...

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IEEE International Conference on Solid-State circuits (ISSCC)

作者： D. Hammerschmidt F.V. Schnatz W. Brockherde B.J. Hosticka E. Obermeier Fraunhofer Institute of Microelectronic Circuits and System Duisburg Germany Technical University Berlin Germany

A CMOS piezoresistive pressure sensor with on-chip programmable analog readout and calibration electronics is presented. The calibration network features a systematic compensation of first- and second-order temperature dependencies using digitally controlled sources. The piezoresistive full-bridge pressure sensor is located in the center of the chip, surrounded by the readout and compensation electronics. The bridge is on a thin diaphragm etched into the silicon substrate after completion of the standard n-well CMOS process. When exposed to pressure, deflection of the diaphragm causes changes in resistance and thus generates a voltage across the bridge.< >

关键词： Piezoresistance Calibration Bridge circuits Temperature dependence Temperature sensors Digital control Temperature control Control systems Etching Silicon

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A CMOS Bandgap Reference for Low Voltage Applications

A CMOS Bandgap Reference for Low Voltage Applications

引用

European Conference on Solid-State circuits (ESSCIRC)

作者： Dirk Hammerschmidt Per Asbeck Nielsen Frank V. Schnatz Werner Brockherde Bedrich J. Hosticka Fraunhofer Institute of Microelectronic Circuits and System Duisburg Germany Technical University of Denmark Lyngby Denmark

A bandgap reference circuit which operates at supply voltages down to 1.2V is presented. It offers a reference voltage of 82mV and a reference current of 2μA with a temperature dependence of less then 100ppm/K in a temperature range form -40°C to 120°C. The power supply rejection is enhanced by self biasing the circuit with the reference current. The circuit has been fabricated in a standard 1.5μm CMOS process.

关键词： Photonic band gap Low voltage circuits Bipolar transistors Temperature dependence Power supplies Silicon Feeds Resistors Mirrors

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Biologically-inspired artificial neurons: modeling and applications

Biologically-inspired artificial neurons: modeling and appli...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： M. Scholles B.J. Hosticka M. Kesper P. Richert M. Schwarz Department of Electrical Engineering University of Duisburg-Essen Duisburg Germany Fraunhofer Institute of Microelectronic Circuits and System Duisburg Germany

Currently used neural networks employ mostly simple neuron models that greatly differ from the "real" biological neurons. To ensure progress in biology-based neural processing, more advanced neuron models must be developed that better reflect the biological functionality. In this paper, we investigate a neuron model which satisfies such requirements to a much higher degree. We also examine some of its learning properties and look at its applications.

关键词： Neurons Biological system modeling Biology computing Differential equations Delay effects Space vector pulse width modulation Pulse modulation microelectronics circuits and systems Artificial neural networks

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An emulator for biologically-inspired neural networks

An emulator for biologically-inspired neural networks

引用

International Joint Conference on Neural Networks (IJCNN)

作者： P. Richert B.J. Hosticka M. Kesper M. Scholles M. Schwarz Fraunhofer Institute of Microelectronic Circuits and System Duisburg Germany Department of Electrical Engineering University of Duisburg-Essen Duisburg Germany

This work presents an emulator that has been developed for real-time algorithm and architecture exploration and verification of biologically-inspire neural networks. It can implement a wide range of user-defined neural network types and neuron models. The most complex neuron model is represented by a "biological" neuron that incorporates not only synaptic weighting, postsynaptic summation, static threshold, and saturation, but also other parameters, such as synaptic time delays, neuron gain, computation of membrane potential, and dynamic thresholding, all variable and learnable. For this purpose, a special custom-made CMOS chip has been developed, fabricated, and tested. The chip has been used to build a neural emulator in a form of neural grid array that can interface sensors, actuators, and a host computer.

关键词： Neural networks Neurons Sensor arrays Biological system modeling Semiconductor device modeling Delay effects Biology computing Biomembranes Testing Actuators

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Nodal Chip for Parallel Neural Signal Processing

Nodal Chip for Parallel Neural Signal Processing

引用

European Conference on Solid-State circuits (ESSCIRC)

作者： M. Kesper B.J. Hosticka P. Richert M. Scholles M. Schwarz Fraunhofer Institute of Microelectronic Circuits and System Duisburg Germany Department of Electrical Engineering University of Duisburg-Essen Duisburg Germany

This work describes a neural network chip which allows combining massive parallel interneural communication with sophisticated intraneural computation and can be used for construction of neural network systems. The chip enables the emulation of different types of neurons including biologically inspired models based on activity pulses, learnable synaptic weights and delays, variable neuron gain, calculation of membrane potential, and static and dynamic thresholding. The chip makes it possible to build neural grid arrays where each node contains one chip and possesses global communication capability despite locally interconnected chips.

关键词： Signal processing Neural networks Neurons Biomedical signal processing Biology computing Computer networks Concurrent computing Emulation Biological system modeling Delay

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CMOS Magnetic-Field Sensor system

CMOS Magnetic-Field Sensor System

引用

European Conference on Solid-State circuits (ESSCIRC)

作者： Andreas Sprotte Rolf Buckhorst Werner Brockherde Bedrich J. Hosticka Dieter Bosch Fraunhofer Institute of Microelectronic Circuits and System Duisburg Germany Hanning GmbH Oerlinghausen Germany Deutsche AeroSpace AG Ottobrunn Germany

A magnetic-field sensor system integrated in CMOS technology with additional processing steps necessary for sensor fabrication is presented. The system contains a permalloy magnetoresistive microbridge acting as senso... 详细信息

关键词： Sensor systems CMOS technology Magnetic sensors Temperature sensors CMOS process Integrated circuit technology Fabrication Magnetoresistance Magnetic circuits Readout electronics

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