This paper presents design techniques for a wide range CMOS differential difference amplifier (DDA) and discusses its application as a basic block in the implementation of four-quadrant multipliers and amplitude modul...
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ISBN:
(纸本)0780317610
This paper presents design techniques for a wide range CMOS differential difference amplifier (DDA) and discusses its application as a basic block in the implementation of four-quadrant multipliers and amplitude modulators, which are widely used in analog signalprocessing. The DDA can be reconfigured as an opamp, and makes use of the opamp-based multipliers, which are well-developed. In addition, it can be shown that the DDA can be implemented as an AM circuit using only a transistor and a resistor. Experimental results obtained from a 2 μm CMOS MOSIS chip are given.
This paper proposes a 4×4 MU-MIMO channel emulator with automatic channel sounding feedback used for beam-forming and MU-MIMO precoding features of ieee 802.11ac. The main contribution of this paper is the design...
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A rapid design methodology for biorthogonal wavelet transform cores has been developed. This methodology is based on a generic, scaleable architecture for the wavelet filters. The architecture offers efficient hardwar...
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A rapid design methodology for biorthogonal wavelet transform cores has been developed. This methodology is based on a generic, scaleable architecture for the wavelet filters. The architecture offers efficient hardware utilization by combining the linear phase property of biorthogonal filters with decimation in a MAC based implementation. The design has been captured in VHDL and parameterised in terms of wavelet type, data word length and coefficient word length. The control circuit is embedded within the cores and allows them to be cascaded without any interface glue logic for any desired level of decomposition. The design time to produce silicon layout of a biorthogonal wavelet based system is typically less than a day. The resulting silicon cores produced are comparable in area and performance to hand-crafted designs. The designs are portable across a range of foundries and are also applicable to FPGA and PLD implementations.
Summary form only given, as follows. DSP equalizers and Viterbi decoders offer several advantages over analog techniques in backplane, serdes (serializer-deserializer), and optical transmission systems. However, the l...
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Summary form only given, as follows. DSP equalizers and Viterbi decoders offer several advantages over analog techniques in backplane, serdes (serializer-deserializer), and optical transmission systems. However, the long critical paths in these DSP algorithms impose constraints on the achievable speed and limit the utility of these algorithms for high-speed applications, operating in the range of 3.125-10 Gbps. There are several techniques which exploit pipelining, parallel processing and retiming to design high-speed DFE receivers and Viterbi decoders. Some serdes systems also impose latency constraints. High-speed Viterbi decoders (such as 10 Gbps) with significantly less latency have been designed. The implementation of 10-gigabit fiber and copper systems may be approached in different ways.
Technological advances in wireless sensors shed some light on the deployment of Industrial Wireless Sensor and Actuator Networks (IWSAN) for diverse applications in process automation due to their multiple advantages ...
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ISBN:
(纸本)9781509055821
Technological advances in wireless sensors shed some light on the deployment of Industrial Wireless Sensor and Actuator Networks (IWSAN) for diverse applications in process automation due to their multiple advantages related to the reduction in wiring costs, implementation and maintenance. However, the most critical processes, like closed loop control applications which have shorter than 1 ms time cycle and a Packet Error Rate (PER) in the range of 10(-9), still rely on wired connections. Due to this, new concepts that can compete and coexist without troubles with the correspondent wired solutions are necessary, especially those known as Real-Time Ethernet (RTE). So, this article focuses on analyzing the requirements of a deterministic access point (AP) with real-time characteristics that act as a bridge between wired RTE and wireless communication systems. The analysis will focus mainly on the design of the Medium Access Control (MAC) mechanism because this is largely the main responsible for guaranteeing the robustness and determinism required by industrial time-critical applications. To control the wireless segment of the hybrid network, the AP could implement the previously proposed Enhanced Priority MAC (EP-MAC) that support three traffic categories with different requirements related to latency. We conclude the paper showing some results obtained from numerical simulations. Provided results prove that the requirements of the proposed AP, together with EP-MAC, fulfill the tight timing constraints of industrial time-critical applications.
Device wearability and operating time are trending topics in recent state-of-art works on surface ElectroMyoGraphic (sEMG) muscle monitoring. No optimal trade-off, able to concurrently address several problems of the ...
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Device wearability and operating time are trending topics in recent state-of-art works on surface ElectroMyoGraphic (sEMG) muscle monitoring. No optimal trade-off, able to concurrently address several problems of the acquisition system like robustness, miniaturization, versatility, and power efficiency, has yet been found. In this tutorial we present a solution to most of these issues, embedding in a single device both an sEMG acquisition channel, with our custom event-driven hardware feature extraction technique (named Average Threshold Crossing), and a digital part, which includes a microcontroller unit, for (optionally) sEMG sampling and processing, and a Bluetooth communication, for wireless data transmission. The knowledge acquired by the research group brought to an accurate selection of each single component, resulting in a very efficient prototype, with a comfortable final size (57.8mm x 25.2mm x 22.1mm) and a consistent signal-to-noise ratio of the acquired sEMG (higher than 15 dB). Furthermore, a precise design of the firmware has been performed, handling both signal acquisition and Bluetooth transmission concurrently, thanks to a FreeRTOS custom implementation. In particular, the system adapts to both sEMG and ATC transmission, with an application throughput up to 2 kBs(-1) and an average operating time of 80 h (for high resolutions EMG sampling), relaxable to 8Bs(-1) throughput and about 230 h operating time (considering a 110 mAh battery), in case of ATC acquisition only. Here we share our experience over the years in designing wearable systems for the sEMG detection, specifying in detail how our event-driven approach could benefit the device development phases. Some previous basic knowledge about biosignal acquisition, electronic circuits and programming would certainly ease the repeatability of this tutorial.
The design of finite/wordlength finite impulse response, (FIR) digital filters is of much interest and importance in practical digital systems. In fixed-point implementations of digital filters, the designer is allowe...
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This work presents a deep learning based system for estimating the particle size distribution of two types of rocks in a flow-through environment in mineral processing. Deep Learning has become one of the most importa...
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ISBN:
(数字)9781665466233
ISBN:
(纸本)9781665466233
This work presents a deep learning based system for estimating the particle size distribution of two types of rocks in a flow-through environment in mineral processing. Deep Learning has become one of the most important topics in Computer Vision, however, less is known about applying deep neural networks in industrial use cases, where data availability is very limited. Due to this limitation, previous works have focused the efforts on generating synthetic images and benchmark against them or against similar datasets. Because slurry environments exhibit a high level of complexity and image noises, it is almost impossible to transfer knowledge from synthetic data, hence our efforts are aimed towards working only with real data. Target images contain apatite and phlogopite particles in slurry, presenting complex scenarios like overlapping particles, blurry or mixed particles. The proposed system segments all instances of particles, then computes a size distribution based on the predicted masks and the magnification of the imaging device. Finally, the result is benchmarked against a reference method, that uses laser diffraction. Two state-of-the-art neural networks are compared, highlighting tradeoffs that need to be considered for a practical implementation of the system.
Static dataflow graphs enable powerful design, implementation and analysis methods for embedded systems. Nevertheless, complex signal and media processing applications-such as cognitive radio or modern video codecs-di...
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ISBN:
(数字)9783030346270
ISBN:
(纸本)9783030346270;9783030346263
Static dataflow graphs enable powerful design, implementation and analysis methods for embedded systems. Nevertheless, complex signal and media processing applications-such as cognitive radio or modern video codecs-display dynamic behavior that do not fit the classical cyclo-static restrictions. An approach to tackle this limitation combines integer parameters-to express dynamic rates-with control actors-to allow topology and mode changes as well as time-dependent scheduling and constraints, as introduced in the Transaction Parameterized Dataflow (TPDF) model of computation. In this paper we present a technique to automatically analyse the static properties of a TPDF application, including consistency, liveness, boundedness and worst-case throughput. Our implementation of these analyses is validated against a set of real-life dynamic applications, demonstrating significant buffer size and throughput improvements compared to the state of the art models, including Cyclo-Static Dataflow (CSDF) and Scenario-Aware Dataflow (SADF).
Force sensors using strain gauge have been widely applied in mechanical systems. They usually possess a structure consisting of a simple cantilever beam and two strain gauges attached to two opposite beam surfaces. Ho...
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Force sensors using strain gauge have been widely applied in mechanical systems. They usually possess a structure consisting of a simple cantilever beam and two strain gauges attached to two opposite beam surfaces. However, this structure shows severely distorted stress in the implementation of smart robot grippers with lateral offsets, which is usual in limited-space applications. In order to overcome the limitation and to reduce the nonlinearity of the gauge sensor, a novel hinged-joint cantilever beam sensor structure is proposed. An analytical model is derived to predict the force sensitivity and force linearity. The simple cantilever beam sensor and the hinged-joint sensor are analyzed and compared with the conducting finite-element method simulation. signalprocessing circuits are designed and implemented. A hinged-joint prototype force sensor is fabricated for calibration and testing. Experiments show that the proposed hinged-joint sensor possesses a high quality of linearity and excellent sensitivity, which can be applied to diverse fields including smart robot grippers.
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