In this paper, a two-dimensional truth-oriented brain model is proposed for imaging simulation of wearable stroke detection devices. Stroke detection based on ultra-wideband microwave imaging is a new detection method...
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Deep neural networks are widely deployed in many fields. Due to the in-situ computation (known as processing in memory) capacity of the Resistive Random Access Memory (ReRAM) crossbar, ReRAM-based accelerator shows po...
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ISBN:
(数字)9783981926385
ISBN:
(纸本)9798350348606
Deep neural networks are widely deployed in many fields. Due to the in-situ computation (known as processing in memory) capacity of the Resistive Random Access Memory (ReRAM) crossbar, ReRAM-based accelerator shows potential in accelerating DNN with low power and high performance. However, despite power advantage, such kind of accelerators suffer from the high power consumption of peripheral circuits, especially Analog-to-Digital Converter (ADC), which account for over 60 percent of total power consumption. This problem hinders the ReRAM-based accelerator to achieve higher efficiency. Some redundant Analog-to-Digital conversion operations have no contribution to maintaining inference accuracy, and such operations can be eliminated by modifying the ADC searching logic. Based on such observations, we propose an algorithm-hardware co-design method and explore the co-design approach in both hardware design and quantization algorithms. Firstly, we focus on the distribution output along the crossbar's bit-lines and identify the fine-grained redundant ADC sampling bits. To further compress ADC bits, we propose a hardware-friendly quantization method and coding scheme, in which different quantization strategy was applied to the partial results in different intervals. To support the two features above, we propose a lightweight architectural design based on SAR-ADC. It's worth mentioning that our method is not only more energy efficient but also retains the flexibility of the algorithm. Experiments demonstrate that our method can reduce about
$1.6\sim 2.3\times$
ADC power reduction.
Vehicular radars, which play a key role within advanced driver-assistance systems (ADAS), sense the environment and provide distance and speed estimations about nearby vehicles and objects. However, the increasing pen...
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ISBN:
(数字)9789463968102
ISBN:
(纸本)9798350360257
Vehicular radars, which play a key role within advanced driver-assistance systems (ADAS), sense the environment and provide distance and speed estimations about nearby vehicles and objects. However, the increasing penetration rate of such radar systems and the typically very open use of the radar bands is raising the possibility that radars’ performance is vastly degraded because of the interference from the neighboring vehicles. The risk is therefore that applications failures became unacceptably frequent and features like adaptive cruise-control or autopilot are often temporarily disabled. Driven by ongoing discussions on automotive radar spectrum expansion to other bands, we are evaluating the opportunity to exploit the 140 GHz band, and the use of orthogonal frequency division multiplexing (OFDM) in addition to frequency modulated continuous waveform (FMCW). It is therefore of utmost importance to analyze the impact of the expected interference on radar devices in the scenarios of interest and study possible countermeasures. In this work, we describe a tool to derive, in realistic scenarios such as highways or urban areas, the number and characteristics (such as direction and path length) of potentially interfering signals, which can be then used to evaluate the impact of the interference and the effectiveness of mitigation solutions. Results obtained in a dense highway scenario show that with 100% penetration, the signals transmitted will often enter the field of view (FOV) of the other sensors, either directly or after a single reflection.
Computational models of the auditory periphery are important tools for understanding mechanisms of normal and impaired hearing and for developing advanced speech and audio processingalgorithms. However, the simulatio...
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ISBN:
(纸本)9781728176055;9781728176062
Computational models of the auditory periphery are important tools for understanding mechanisms of normal and impaired hearing and for developing advanced speech and audio processingalgorithms. However, the simulation of accurate neural representations entails a high computational effort. This prevents the use of auditory models in applications with real-time requirements and the design of speech enhancement algorithms based on efficient bio-inspired optimization criteria. Hence, in this work we propose and evaluate DNN-based approximations of a state-of-the-art auditory model. The DNN models yield accurate neurogram predictions for previously unseen speech signals with processing times shorter than signal duration, thus indicating their potential to be applied in real-time.
Autonomous compact seismic devices for detecting and recognition of moving on the ground people and vehicles are used both in the protection of various objects and for reconnaissance purposes. Results of the developme...
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ISBN:
(纸本)9781728155661
Autonomous compact seismic devices for detecting and recognition of moving on the ground people and vehicles are used both in the protection of various objects and for reconnaissance purposes. Results of the development of such a device for the detection and recognition of a moving person and vehicles are given in the paper. A device design is given, operation of a seismic signalprocessing unit is considered, and a seismic transducer is selected. Characteristics of seismic signals from moving objects and signals recognition algorithms are considered. Tests have shown that reasonably acceptable parameters can be achieved in a relatively simple device that uses the time parameters of seismic signals.
The advanced L band Phased Array Camera for Arecibo (ALPACA) will rely on RF-over-fiber signal transport and hybrid FPGA/GPU signalprocessing hardware for calibration, beamforming, and imaging. We report on signal tr...
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The advanced L band Phased Array Camera for Arecibo (ALPACA) will rely on RF-over-fiber signal transport and hybrid FPGA/GPU signalprocessing hardware for calibration, beamforming, and imaging. We report on signal transport system development, phase and gain stability requirements, and array signalprocessing algorithm development.
How would you fairly evaluate two multi-object tracking algorithms (i.e. trackers), each one employing a different object detector? Detectors keep improving, thus trackers can make less effort to estimate object state...
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ISBN:
(数字)9781665463829
ISBN:
(纸本)9781665463836
How would you fairly evaluate two multi-object tracking algorithms (i.e. trackers), each one employing a different object detector? Detectors keep improving, thus trackers can make less effort to estimate object states over time. Is it then fair to compare a new tracker employing a new detector with another tracker using an old detector? In this paper, we propose a novel performance measure, named Tracking Effort Measure (TEM), to evaluate trackers that use different detectors. TEM estimates the improvement that the tracker does with respect to its input data (i.e. detections) at frame level (intra-frame complexity) and sequence level (inter-frame complexity). We evaluate TEM over well-known datasets, four trackers and eight detection sets. Results show that, unlike conventional tracking evaluation measures, TEM can quantify the effort done by the tracker with a reduced correlation on the input detections. Its implementation will be made publicly available online. 1 . 1 https://***/vpulab/MOT-evaluation
In modern microwave measurements the six-port reflectometers and receivers are used in telecommunications, radiolocation, medicine, Internet of things. The signalprocessing is based on the algorithms and models that ...
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ISBN:
(纸本)9781728155661
In modern microwave measurements the six-port reflectometers and receivers are used in telecommunications, radiolocation, medicine, Internet of things. The signalprocessing is based on the algorithms and models that using the redundant information and is aimed at accuracy improving and uncertainty reducing. The Kalman filter is proven to be helpful in signals with errors processing. There was proposed a finite state machine (FSM) with such states as prediction and update for Kalman filter algorithm and its simulation with the help of field programmable gate array (FPGA).
On-chip Wavelength Division Multiplexing (WDM) devices have been widely used in optical communications and signalprocessing to increase data throughput. As the number of wavelength channels increases, the performance...
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On-chip Wavelength Division Multiplexing (WDM) devices have been widely used in optical communications and signalprocessing to increase data throughput. As the number of wavelength channels increases, the performance of WDM devices is susceptible to various types of errors from fabrication, design and environmental changes. To address this issue, we demonstrate an automated optimization control method based on the Gradient-Descent algorithm and examine the performance of applying this algorithm to a silicon photonic 16-channel WDM device utilizing 4-level cascaded tunable Mach-Zehnder interferometers. The extinction ratio and crosstalk of all 16 channels are successfully optimized with different initial temperatures in simulation. This procedure provides a general approach to automated control and optimize complex photonic systems.
The combination of the array along with the elements of antenna and the algorithm that processes the dedicated signal is known as Smart Antenna. By using this technology, the base station transmits the signal of each ...
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ISBN:
(纸本)9781665435253
The combination of the array along with the elements of antenna and the algorithm that processes the dedicated signal is known as Smart Antenna. By using this technology, the base station transmits the signal of each user and receives only that in the individual user direction. The technology of Smart Antenna which attempts to inform the problem by using the advanced technology of signalprocessing is called as beam-forming. Through the beam-forming which is adapti ve, the narrower beam is formed by the base station and nulls towards the users and interfering users. The diverse types of the adaptive algorithms are used to inform the smart antenna weights. Various algorithms of adaptive beamforming used in the current study are Recursive Least squares (RLS), Lease Mean square (LMS) and sample Matrix Inversion (SMI) algorithms.
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