This paper presents the design and implementation of our system for Track 1 of the Multi-modal Information based Speech processing (MISP) 2022 Challenge. We design an end-to-end transformer-based multi-talker system. ...
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This paper presents a compact RF power inverter implemented with a PCB multi-resonant input filter for driving an electrothermal plasma micro-thruster, mini Pocket Rocket 3.0 (miniPR 3.0). This miniPR 3.0 and its driv...
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ISBN:
(纸本)9781509053261
This paper presents a compact RF power inverter implemented with a PCB multi-resonant input filter for driving an electrothermal plasma micro-thruster, mini Pocket Rocket 3.0 (miniPR 3.0). This miniPR 3.0 and its driving electronics are part of an investigation seeking to add micro propulsion systems to low cost CubeSats. The proposed RF power inverter and multi-resonant input filter use only air core inductors. All inductors are toroidal and formed by PCB traces and vias allowing a planar and compact design [1], [2]. The PCB structure serves as structural support to save space and volume for propulsion propellant and other payloads. Advantages of air core inductors include not being subject to saturation or variations from changing material properties of a magnetic core, as well as no Curie temperature rating. With the previous development [3] of successfully driving the miniPR 3.0 with a compact PCB RF power inverter, this paper emphasizes on addressing some of the EMI concerns. A lumped transmission line multi-resonant input filter is proposed to mitigate conductive EMI. Specifically, we present an 8th order multi-resonant input filter design and demonstrate the converter and the filter successfully driving the miniPR 3.0.
Compared to the Matrix Wiener Filter (MWF), reduced-rank signalprocessing in the Minimum Mean Square Error (MMSE) sense is a well-known method for the design of low-complexity receivers. In this paper, we reveal the ...
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ISBN:
(纸本)0780392434
Compared to the Matrix Wiener Filter (MWF), reduced-rank signalprocessing in the Minimum Mean Square Error (MMSE) sense is a well-known method for the design of low-complexity receivers. In this paper, we reveal the relationship between different reduced-rank receivers based on weighted matrix polynomials approximating the MWF in a Krylov subspace, viz., the MultiStage Matrix WF (MSMWF), the parallel implementation of Multi-Stage Vector WFs (MSVWFs), and Polynomial Expansion (PE). Besides, we present PE where the weights are approximated based on Random Matrix (RM) theory assuming the application to a frequency- selective Multiple-Input Multiple-Output (MIMO) system. Simulation results show that the MSMWF outperforms the considered reduced-rank methods if their order of computational complexity is the same.
Multirate filtering technique is widely used for meeting the sampling rates of different systems and it is a powerful technique in DSP which results in low-cost implementations of digital filters. Polyphase decomposit...
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ISBN:
(纸本)9781467391979
Multirate filtering technique is widely used for meeting the sampling rates of different systems and it is a powerful technique in DSP which results in low-cost implementations of digital filters. Polyphase decomposition technique reduces the computational complexity by adopting parallelism in multirate digital filters. Power consumption is always a prime design constraint while implementing multirate digital filters on reconfigurable hardware. Dynamic power consumption in digital implementations can be reduced by minimizing the switching activity at the output of CMOS gates. Most of the work is revolved around minimizing number of power of two or nonzero terms in the filter coefficients as each non-zero bit corresponds to an additional adder in hardware implementation. This paper proposes a novel algorithm to reduce the switching activity at the output of CMOS gate by reducing the number of nonzero terms in the filter coefficients. The proposed algorithm is applied to the polyphase structures and its impact on dynamic power consumption is analyzed. The structures are synthesized for Spartan6 FPGA board using Xilinx System Generator. The proposed algorithm reduces the power consumption up to 31 milli Watts for the polyphase structures.
The problem of state observation is addressed for a class of systems subject to sensor delay and parameter uncertainty. The unknown parameter vector enters a finite-dimensional state equation through a possibly output...
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The problem of state observation is addressed for a class of systems subject to sensor delay and parameter uncertainty. The unknown parameter vector enters a finite-dimensional state equation through a possibly output-dependent regressor. The sensor delay effect is captured by a first-order hyperbolic PDE. Doing so, the system turns out to be an ODE-PDE association with a connection point not accessible to measurements. An adaptive observer is constructed by combining ideas from PDE-based and ODE-based design approaches. The observer provides estimates of the ODE subsystem states and parameters, on the one hand, and of the sensor states, on the other. Observer exponential convergence is established under an ad-hoc persistent excitation condition involving the regressor. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
We present the design and implementation of linear-phase delay filters for ultra-low-power signalprocessing in neural recording implants. We use these filters as low-distortion delay elements along with an automatic ...
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We present the design and implementation of linear-phase delay filters for ultra-low-power signalprocessing in neural recording implants. We use these filters as low-distortion delay elements along with an automatic biopotential detector to perform integral waveform extraction and efficient power management. The presented delay elements are realized employing continuous-time OTA-C filters featuring 9th-order equiripple transfer functions with constant group delay. Such analog delay enables processing neural waveforms with reduced overhead compared to a digital delay since it does not requires sampling and digitization. It uses an allpass transfer function for achieving wider constant-delay bandwidth than all-pole does. Two filters realizations are compared for implementing the delay element: the Cascaded structure and the Inverse follow-the-leader feedback filter. Their respective strengths and drawbacks are assessed by modeling parasitics and non-idealities of OTAs, and by transistor-level simulations. A budget of 200 nA is used in both filters. Experimental measurements with the chosen filter topology are presented and discussed.
FPGAs have proven to be very effective and efficient devices on which to implement encryption algorithms. They perform at much faster data-rates and provide better security than equivalent software implementations. Th...
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FPGAs have proven to be very effective and efficient devices on which to implement encryption algorithms. They perform at much faster data-rates and provide better security than equivalent software implementations. They also provide more flexibility than ASIC implementations. This paper presents a high performance silicon intellectual property (IP) core for the data encryption standard (DES) encryption algorithm. The 16-stage pipelined DES design runs at an encryption rate of 3.87 Gbits/s using Xilinx Virtex FPGA technology making this the fastest single-chip DES FPGA implementation reported to date. This result is a factor 28 times faster than software implementations.
With the completion of GPS, GLONASS, BDS, and GALILEO navigation systems, the navigation and positioning technology has gradually developed toward multi-frequency and multi-system convergence. The RF module directly a...
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Research of load carriage effect on center of mass(CoM) behavior during human and robot locomotion has been driven by the prevalence of everyday tasks requiring load bearing or transfer. More recently, this has been a...
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ISBN:
(纸本)9781509004768
Research of load carriage effect on center of mass(CoM) behavior during human and robot locomotion has been driven by the prevalence of everyday tasks requiring load bearing or transfer. More recently, this has been accentuated in the design of exoskeletons and military backpack systems aimed at assisting with weighty load handling. Despite this importance, complicated body dynamics has stymied the study of CoM and locomotion behaviors that arise under heavy load carrying. Current approaches have focused mostly on force sensor use, video motion analysis or accelerometer data, constraining the methods to expensive and clumsy external sensors. In this work, a direct and accessible geometric approach is used and extended to produce CoM estimates of natural walking locomotion with carried loads over rough planar terrains. The approach makes use of an Optimized Geometric Hermite(OGH) curve and relies only on essential body kinematic knowledge, the terrain geometry, and load weight information. To validate the accuracy of the approach, comparisons using motion capture video of human subjects were performed. The results demonstrate an accurate estimate of the CoM position path and behavior during loaded natural walking over rough planar terrains.
This paper designs a frequency modulation (FM) transmitter for wireless communication systems, focusing on the design and implementation of the carrier oscillator circuit, high-frequency power amplifier, and audio amp...
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