The prototypical brain-computer interface (BCI) algorithm translates brain activity into changes in the states of a computer program, for typing or cursor movement. Most approaches use neural decoding which learns how...
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The prototypical brain-computer interface (BCI) algorithm translates brain activity into changes in the states of a computer program, for typing or cursor movement. Most approaches use neural decoding which learns how the user has encoded their intent in their noisy neural signals. Recent adaptive decoders for cursor movement improved BCI performance by modeling the user as a feedback controller; when this model accounts for adaptive control, the neural decoder is termed co-adaptive. This recent collection of control-inspired neural decoding strategies disregards a major antecedent conceptual realization, whereby the user could be induced to adopt an encoding strategy (control policy) such that the encoder-decoder pair (or equivalently, controller-plant pair) is optimal under a desired cost function. We call this alternate conceptual approach neural shaping, in contradistinction to neural decoding. Previous work illuminated the general form of optimal controller-plant pair under a cost representing information gain. For BCI applications requiring the user to issue discrete-valued commands, the information-gain-optimal pair, based on the posterior matching scheme, can be user-friendly. In this paper, we discuss the application of neural shaping to cursor control with continuous-valued states based on continuous-valued user commands. We examine the problem of jointly optimizing controller and plant under quadratic expected cost and restricted linear plant dynamics. This simplification reduces joint controller-plant selection to a static optimization problem, similar to approaches in structural engineering and other areas. This perspective suggests that recent BCI approaches that alternate between adaptive neural decoders and static neural decoders could be local Pareto-optimal, representing a suboptimal iterative-type solution to the optimal joint controller-plant problem.
New local perturbation bounds for the continuous-time H∞-control problem are obtained, which are nonlinear functions of the data perturbations and are tighter than the existing condition number-based local bounds. Th...
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Focusing on the estimation of the hopping period of the frequency-hopping (FH) signals, this paper proposes a novel method based on the binary-sum in the frequency domain. First, the time-frequency (TF) spectrograph o...
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ISBN:
(纸本)9781479970926
Focusing on the estimation of the hopping period of the frequency-hopping (FH) signals, this paper proposes a novel method based on the binary-sum in the frequency domain. First, the time-frequency (TF) spectrograph of the signal is obtained and transformed into a binary matrix. Then the sum in frequency domain is calculated and the hopping period is accurately estimated by spectrum analyzing. The results of the simulations confirm that the method is effective and superior to the regular methods.
The concept of three-way decisions was proposed by Yao and most of three-way decisions models use two thresholds α and β to partition the universe into three parts: the positive region POS(X), the negative region NE...
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This paper deals with the azimuth resolution improvement problems via the coherent combination of the SAR images with nearly zero-overlapped Doppler bandwidth, which corresponding to large along-track baseline. Prior ...
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ISBN:
(纸本)9781849196031
This paper deals with the azimuth resolution improvement problems via the coherent combination of the SAR images with nearly zero-overlapped Doppler bandwidth, which corresponding to large along-track baseline. Prior to the combination of the images, the phase bias contributions from the atmospheric propagation delays and baseline measurement errors should be calibrated. The interferogram of the azimuth pre-filtered SAR images are adopted in the classical method, whose performance falls down when the overlapped spectra comes to zero. In this paper, the maximum sharpness optimization is adopted to deal this situation. The proposed method has been tested by processing the real data.
Finding correspondences between two related feature point sets is a basic task in computer vision and pattern recognition. In this paper, we present a novel method for point pattern matching via spectral graph analysi...
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Offloading is an efficient method for extending the lifetime and speeding up the execution rate of mobile devices by executing remotely in mobile cloud computing (MCC) networks. Meanwhile, heterogeneous network (HetNe...
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The paper investigates the performance of a hybrid satellite-terrestrial cooperative network (HSTCN), where some terrestrial amplify-and-forward (AF) relays are employed to assist the signal transmission from a satell...
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This paper proposed a new algorithm for burst signal sorting. The proposed algorithm can be used to identify and locate TDMA users based on the continuity of carrier phase. In the proposed algorithm, the continuity of...
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The size estimation of space target is useful to help monitor the collision of space targets. The traditional methods cannot obtain accurate size of three-axis stabilized targets via narrow-band radar. This paper pres...
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