In this review paper, traditional and novel demodulation methods applicable to amplitude-modulation atomic force microscopy are implemented on a widely used digital processing system. As a crucial bandwidth-limiting c...
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In this review paper, traditional and novel demodulation methods applicable to amplitude-modulation atomic force microscopy are implemented on a widely used digital processing system. As a crucial bandwidth-limiting component in the z-axis feedback loop of an atomic force microscope, the purpose of the demodulator is to obtain estimates of amplitude and phase of the cantilever deflection signal in the presence of sensor noise or additional distinct frequency components. Specifically for modern multifrequency techniques, where higher harmonic and/or higher eigenmode contributions are present in the oscillation signal, the fidelity of the estimates obtained from some demodulation techniques is not guaranteed. To enable a rigorous comparison, the performance metrics tracking bandwidth, implementation complexity and sensitivity to other frequency components are experimentally evaluated for each method. Finally, the significance of an adequate demodulator bandwidth is highlighted during high-speed tapping-mode atomic force microscopy experiments in constant-height mode.
A set/reset switching model of Cu atom switch based on electrolysis is newly proposed. A nanometer-thick solid electrolyte gives a high electric field of similar to 3.3 MV/cm in the solid electrolyte at 2 V, enabling ...
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A set/reset switching model of Cu atom switch based on electrolysis is newly proposed. A nanometer-thick solid electrolyte gives a high electric field of similar to 3.3 MV/cm in the solid electrolyte at 2 V, enabling an ionization of Cu and a formation of Cu bridge. It is revealed that the switching voltage depends on the resistance of electrolyte, where the modified Faraday's law of electrolysis with exponential factors on current and time well falls on the experimental on-resistance. The proposed simple compact model is useful for estimating the resistance of the Cu atom switch programmed by any conditions.
In this paper, we present a method to implement concurrent dual-band digital predistortion (DPD) models using 2-D lookup tables (LUTs) with bilinear interpolation and extrapolation. We introduce the required set of ba...
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In this paper, we present a method to implement concurrent dual-band digital predistortion (DPD) models using 2-D lookup tables (LUTs) with bilinear interpolation and extrapolation. We introduce the required set of basis functions to describe this model. The DPD output is expressed as a linear combination of these basis functions and we show how to directly estimate the coefficients using least squares. We introduce a flexible 2-D bilinear extrapolation scheme that is ideally suited to dual-band signals with high peak-to-average power ratio. We show how these are needed when digital predistortion is implemented in conjunction with automatic gain control. We also introduce example dual-band polynomial models with memory and show how to create a similar memory model based on 2-D lookup tables with bilinear interpolation. One such model is the dual-band generalized memory polynomial model. Laboratory experiments are performed using such a 2-D LUT with bilinear interpolation model.
In this article, the authors present a framework for offloading collective operations to programmable logic for use in applications using the Message Passing Interface (MPI). They evaluate their approach on the Xilinx...
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In this article, the authors present a framework for offloading collective operations to programmable logic for use in applications using the Message Passing Interface (MPI). They evaluate their approach on the Xilinx Zynq system on a chip and the NetFPGA, a network interface card based on a field-programmable gate array. Results are presented from microbenchmarks and a benchmark scientific application.
The DRAM-Based Reconfigurable Acceleration Fabric (DRAF) uses commodity DRAM technology to implement a bit-level, reconfigurable fabric that improves area density by 10 times and power consumption by more than 3 times...
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The DRAM-Based Reconfigurable Acceleration Fabric (DRAF) uses commodity DRAM technology to implement a bit-level, reconfigurable fabric that improves area density by 10 times and power consumption by more than 3 times over conventional field-programmable gate arrays. Latency overlapping and multicontext support allow DRAF to meet the performance and density requirements of demanding applications in datacenter and mobile environments.
In this paper, we propose an automatic tea bag brewing machine that can be remotely controlled via Internet. Functions of control were implemented by an hardware-software co-design fashion and programmed into a FPGA (...
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In this paper, we propose an automatic tea bag brewing machine that can be remotely controlled via Internet. Functions of control were implemented by an hardware-software co-design fashion and programmed into a FPGA (field-programmable gate array) embedded system development board. Additionally, the development board was connected with several components including a 6-degree and three-dimensional rotating mechanical arm, a thermos bottle, and a water injection control circuit. As such, the proposed IoT-type tea bag brewing machine can be realized. In operation, according to different requirements, user can choose an alternative tea bag and assign different water volumes. By using a networked device such as smart-phone to send control messages to the implemented machine remotely, the mechanical arm of the machine can automatically execute the process of brewing up a cup of tea to minimize the labors' interventions periodically.
The demand for fast and accurate state estimation in embedded systems has been increasing lately, due at least in part to mobile robotics such as an unmanned aerial vehicle (UAV). The desire to maintain high performan...
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The demand for fast and accurate state estimation in embedded systems has been increasing lately, due at least in part to mobile robotics such as an unmanned aerial vehicle (UAV). The desire to maintain high performance but with compact form factors leads to implementation issues, particularly with more complex systems. A hardware-based approach using field-programmable gate arrays may be able to alleviate these issues but tends to have a more complicated development process than traditional software-based approaches. In order to simplify development and promote portability between embedded applications, a hardware/software codesign of the unscented Kalman filter is presented. An example implementation (N = 18) of the hardware IP core only is presented using the Zynq-7000 XC7Z045 with synthesis, power, and timing results for the 1, 2, 5, and 10 processing-element cases.
Mainstream FPGA tools contain an extensive set of user-controlled compilation options and internal optimization strategies that significantly impact the design quality. These compilation and optimization parameters cr...
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ISBN:
(纸本)9781450356145
Mainstream FPGA tools contain an extensive set of user-controlled compilation options and internal optimization strategies that significantly impact the design quality. These compilation and optimization parameters create a complex design space that human designers may not be able to effectively explore in a time-efficient manner. In this work we describe DATuner, an open-source extensible distributed autotuning framework for optimizing FPGA designs and design automation tools using an ensemble of search techniques managed by multi-armed bandit algorithms. DATuner is designed for a distributed environment that uses parallel searches to amortize the significant runtime overhead of the CAD tools. DATuner provides convenient interface for extension to user-supplied tools, which enables the end users to apply DATuner to design tools/flows of their interest. We demonstrate the effectiveness and extensibility of DATuner using three case studies, which include clock frequency optimization for FPGA compilation, fixed-point optimization, and autotuning logic synthesis transformations.
Traditional License Plate Positioning(LPP) systems always utilize complex structures, resulting in low processing speed. In this paper, we propose an identification system for vehicle license plates based on field-Pro...
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Traditional License Plate Positioning(LPP) systems always utilize complex structures, resulting in low processing speed. In this paper, we propose an identification system for vehicle license plates based on field-programmable gate array(FPGA). The improved Sobel edge detection algorithm is applied to conduct image preprocessing, and the watershed algorithm is used to identify the plates. This leads to a simplified system structure and a higher speed for the plates identification. This system uses a camera to collect image information, the FPGA to conduct image reception and processing, and a monitor to display the identification results. After debugging and executing, the design is proved to be of high performance, and is capable of applying to practical engineering projects.
We demonstrate real-time CD equalization (CDE) for coherent optical transmission systems using a low complexity time-domain (TD) multiplierless finite-impulse response (FIR)-based equalizer, based on a field-programma...
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ISBN:
(纸本)9781538608593
We demonstrate real-time CD equalization (CDE) for coherent optical transmission systems using a low complexity time-domain (TD) multiplierless finite-impulse response (FIR)-based equalizer, based on a field-programmable gate array (FPGA) implementation. The real-time operation is performed for a single-channel 2.5 Gb/s QPSK optical signal with a performance penalty of only similar to 0.15 dB with respect to the maximum performance. The hardware complexity is also evaluated in terms of occupation in a Virtex-6 FPGA-XC6VLX240T, revealing the high efficiency of the proposed CDE algorithm.
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