This paper presents a novel method of generating and applying hierarchical, dynamic topic-based language models. It proposes and evaluates new cluster generation, hierarchical smoothing and adaptive topic-probability estimation techniques. These combined models help capture long-distance lexical dependencies. °Experiments on the Broadcast News corpus show significant improvement in perplexity (10.5% overall and 33.5% on target vocabulary).
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Cholesky Factorization-Based Adaptive BLAST DFE for Wideband MIMO Channels
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Space-Time Joint Interference Cancellation Using Fuzzy-Inference-Based Adaptive Filtering Techniques in Frequency-Selective Multipath Channels
Neural Network-Based Adaptive Controller Design of Robotic Manipulators with an Observer
Fuchun Sun, Member, IEEE, Zengqi Sun, Senior Member, IEEE, and Peng-Yung Woo, Member, IEEE
Abstract—A neural network (NN)-based adaptive controller with an observer is proposed in this paper for the trajectory tracking of robotic manipulators with unknown dynamics nonlinearities. It is assumed that the robotic manipulator has only joint angle position measurements.
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A T-S Fuzzy Model-Based Adaptive Exponential Synchronization Method for Uncertain
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài:
Research Article A Cost-Based Adaptive Handover Hysteresis Scheme to Minimize the Handover Failure Rate in 3GPP LTE System
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Low complexity look up table based adaptive digital predistorter with low memory requirements
Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Research Article Efﬁcient Lookup Table-Based Adaptive Baseband Predistortion Architecture for Memoryless Nonlinearity
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Block-Based Adaptive Vector Lifting Schemes for Multichannel Image Coding
inaccuracies lead to the deviation of operational space trajectory provided by the kinematic
One method to deal with this issue can be found in an adaptive control. Xu and Gu
proposed an adaptive control scheme for space robots in both joint space and operational
space [Xu et al., 1992, Gu & Xu, 1993]. However, the adaptive control proposed in [Xu et al.,
1992] requires perfect attitude control and the adaptive control in [Gu & Xu, 1993] is
developed based on an under-actuated system on the assumption that the acceleration of the
base-satellite is measurable.
RBF Turbo Equalization
This chapter presents novel turbo equalization scheme, a which employs a RBF equaliser instead of the conventional trellis-based equaliserDouillard et al. [ 1.531. The basic principles of of turbo equalization will be highlighted. Structural, computational cost and performance comparisons of the RBF-based and trellis-based turbo equalisers areprovided. A novel element of our design isthat in order to reduce the computational complexity the RBF turbo of equaliser (TEQ), we propose invoking further iterations only, if the decoded symbol has a high error probability....
dvances in technology are increasingly impacting the way in which curriculum is delivered and assessed. The emergence of the Internet has offered learners a new instructional delivery system that connects them with educational resources.
Model validation is the problem of deciding whether observed data are consistent
with a nominal model . Change detection based on model validation aims
at applying a consistency test in one of the following ways:
In this chapter, the conceptof Adaptive Quadrature AmplitudeModulation (AQAM) is introduced, whereby the modulation mode is adapted at the transmitter on a burst by burst basis. This adaptation is implemented based on thereceiver’s perceived channel qualityand its main BER. motivation is to maximise the transmission throughput at a given target In our investigations AQAM is initially applied in a narrow-band environment in conjunction with power control, where the transmitted power is only varied near the modem mode switching thresholds of the AQAM scheme.
Neural Network Based Equalization
In this chapter, we will give an overview of neural network based equalization. Channel equalization can be viewed as a classification problem. The optimal solution to this classification problem is inherentlynonlinear.
Adaptive filtering can be used to characterize unknown systems in time-variant environments. The main objective of this approach is to meet a difficult comprise: maximum convergence speed with maximum accuracy. Each application requires a certain approach which determines the filter structure, the cost function to minimize the estimation error, the adaptive algorithm, and other parameters; and each selection involves certain cost in computational terms, that in any case should consume less time than the time required by the application working in real-time....