This paper presents efficient processing engines for software-defined radio (SDR) front-ends. These engines, based on a polyphase channelizer, perform arbitrary sample-rate changes, frequency selection, and bandwidt...
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This paper presents efficient processing engines for software-defined radio (SDR) front-ends. These engines, based on a polyphase channelizer, perform arbitrary sample-rate changes, frequency selection, and bandwidth control. This paper presents an M-path polyphase filter bank based on a modified N-path polyphase filter. Such a system allows resampling by arbitrary ratios while performing baseband aliasing from center frequencies at Nyquist zones that are not multiples of the output sample rate. This resampling technique is based on sliding cyclic data load interacting with cyclic-shifted coefficients. A non-maximally-decimated polyphase filterbank (where the number of data loads is not equal to the number of M subfilters) processes M subfilters in a time period that is less than or greater than the M data loads. A polyphase filter bank with five different resampling modes is used as a case study for embedded resamp/ing in SDR front-ends. These modes are (i) maximally decimated, (ii) Under-decimated, (iii) over-decimated, and combined up- and down-sampling with (iv) single stride length, and (v) multiple stride lengths. These modes can be used to obtain any required rational sampling rate change in an SDR front-end based on a polyphase channelizer. They can also be used for translation to and from arbitrary center frequencies that are unrelated to the output sample rates.
The titanium dioxide (TiO2) nanoparticle (NP) structure has higher surface area and dye loading value to increase photon absorption while the nanotube (NT) can suppress the random walk phenomena to enhance carrier col...
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The performance of an offline-trained classifier can be improved on-site by adapting the classifier towards newly acquired data. However, the adaptation rate is a tuning parameter affecting the performance gain substa...
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ISBN:
(纸本)9781457703942
The performance of an offline-trained classifier can be improved on-site by adapting the classifier towards newly acquired data. However, the adaptation rate is a tuning parameter affecting the performance gain substantially. Poor selection of the adaptation rate may worsen the performance of the original classifier. To solve this problem, we propose a conservative model adaptation method by considering the worst case during the adaptation process. We first construct a random cover of the set of the adaptation data from its partition. For each element in the cover (i.e. a portion of the whole adaptation data set), we define the cross-entropy error function in the form of logistic regression. The element in the cover with the maximum cross-entropy error corresponds to the worst case in the adaptation. Therefore we can convert the conservative model adaptation into the classic min-max optimization problem: finding the adaptation parameters that minimize the maximum of the cross-entropy errors of the cover. Taking the object detection as a testbed, we implement an adapted object detector based on binary classification. Under different adaptation scenarios and different datasets including PASCAL, ImageNet, INRIA, and TUD-Pedestrian, the proposed adaption method achieves significant performance gain and is compared favorably with the state-of-the-art adaptation method with the fine tuned adaptation rate. Without the need of tuning the adaptation rates, the proposed conservative model adaptation method can be extended to other adaptive classification tasks.
This paper presents a general multi-agent based model for the hierarchical and distributed energy control of a Microgrid. In this model, the agents under three different levels are classified and defined in detail. An...
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Electric power systems, which include many renewable energy resources for worldwide low-carbon path, have a lot of problems and many studies are made for its solutions. Co-generation systems which consist of gas engin...
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Electric power systems, which include many renewable energy resources for worldwide low-carbon path, have a lot of problems and many studies are made for its solutions. Co-generation systems which consist of gas engine etc. have also been expected to make low-carbon path come true. One of difference between gas engines and renewable energy resources is their controllability. In this study, the operating reserve is considered as the ancillary service from distributed generator side. We have considered whether distributed generators are able to alternative thermal power plant when the peak demands. As the result, we have realized the generating cost of distributed generator possible to able to reduce against existing thermal power plant.
Efficiency and power density are usually two important goals regarding power converter design. The focus of this paper is to develop an evaluation procedure to investigate the relationship between efficiency, power de...
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ISBN:
(纸本)9781612841670
Efficiency and power density are usually two important goals regarding power converter design. The focus of this paper is to develop an evaluation procedure to investigate the relationship between efficiency, power density and switching frequency. Three-phase two-level PWM boost rectifier is used as an example. Estimated efficiency and converter weight changing along with switching frequency and power rating are shown. A comparison with a hardware prototype is carried out to verify the estimation procedure.
This paper presents the modularized design and analysis of a phase-leg module based on the Power Electronics Building Block (PEBB) concept. 1200 V SiC MOSFETs and Schottky diodes are used as the main switches for the ...
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ISBN:
(纸本)9781612841670
This paper presents the modularized design and analysis of a phase-leg module based on the Power Electronics Building Block (PEBB) concept. 1200 V SiC MOSFETs and Schottky diodes are used as the main switches for the phase-leg to be used in 600 to 800 V, medium-power converters. The design aims at generalizing the module for various circuit topologies through smart control scheme, while the device switching speed is also pushed to the limit through optimized gate driver and circuit layout designs in order to achieve the high-frequency operation capability of the PEBB.
Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems desi...
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Abstract The performance of Networked Control systems (NCS) is directly affected mainly by time-varying network delays, so a specific approach to compensate their effects is usually required during the controller desi...
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Abstract The performance of Networked Control systems (NCS) is directly affected mainly by time-varying network delays, so a specific approach to compensate their effects is usually required during the controller design process. This paper deals with the control of an experimental platform over the Internet by applying a novel fractional gain scheduling strategy which enables an existing fractional order PI controller for efficient control over the network. The proposed controller introduces delay-adaptive gains, which are optimal with respect to the current network condition. Experimental results show the effectiveness of the proposed controller, providing significantly better system performance, especially when the network-induced delay is increased in certain circumstances.
Hydrogenated amorphous silicon nitride thin films, prepared in a large area plasma-enhanced chemical vapor (PECVD) deposition system utilizing high-rate deposition technique, have been characterized by various techniq...
Hydrogenated amorphous silicon nitride thin films, prepared in a large area plasma-enhanced chemical vapor (PECVD) deposition system utilizing high-rate deposition technique, have been characterized by various techniques. Experimental data obtained from this study are presented and compared to low-rate deposited PECVD films. Special attention has been devoted during this study to the difference between high- and low-rate deposited samples. The amorphous silicon (a-Si:H) thin-film transistors (TFTs) based on high-rate PECVD materials have been fabricated and characterized. The evaluation of a-Si:H TFTs indicates a good electrical performance which is comparable to its low-rate PECVD materials counterparts.
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