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Media playout buffer is widely employed by today's streaming media player to cope with short-term network variation and achieve continuous playout. However, the playout buffer inevitably introduces additional latency, affecting mobile live streaming experience. In this paper, we propose a novel adaptive playout buffer management approach to dynamically optimize the buffer latency while to a great...
Indoor positioning technology based on WLAN signal strength is one of the most practical technical solutions. Considering the factors of environmental adaptability, laying cost and system complexity, the signal fingerprint positioning has become the first choice of the real time positioning technology. Because of the requirement of real-time positioning, the number of samples collected in the online...
This paper investigates the uplink transmission in multi-cell multi-user multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. The system model considers imperfect channel estimation, pilot contamination (PC), multiple sub-carriers and multi-path channels. We propose a simple H-inf channel estimation that achieves good suppression to PC. The approach exploits...
A linear method for TDOA estimation of frequency- hopping signal is proposed in this paper, which can provide high-precision positioning for frequency hopping signal and fast TDOA estimation. First, according to the carrier frequency and the signal bandwidth in a frequency hopping cycle, the frequency hopping signal is filtered, and perform the Hilbert transform of a frequency hopping cycle, then...
l0 norm is an effective constraint used to solve EEG inverse problem for a sparse solution. However, due to the discontinuous and un-differentiable properties, it is an open issue to solve the l0 norm constrained problem, which is usually instead solved by using some alternative functions like l1 norm to approximate l0 norm. In this paper, a continuous and differentiable function having the same form...
This paper proposes an improved Maximum a posteriori probability (IMAP) algorithm for the estimation of frequency-selective channels in MIMO-OFDM systems. To further mean square error (MSE) performance and reduce the training overhead during MAP channel estimation, joint estimation is carried out over multiple OFDM symbols firstly. Then, according to the idea that MIMO channels in angle domain can...
To estimate intracranial pressure (ICP) noninvasively, a data mining framework was proposed in our previous work. In the procedure, the mapping function plays an important role to estimate ICP based on the feature vector extracted from arterial blood pressure (ABP) and flow velocity (FV), which is translated to the estimated errors by the mapping function for each entry in the database. In this paper,...
A data mining framework has been proposed to estimate intracranial pressure (ICP) non-invasively in our previous work. In the corresponding approach, the feature vector extracted from arterial blood pressure (ABP) and flow velocity (FV) is translated to the estimated errors by the mapping function for each entry in the database. In this paper, three different mapping function solutions, linear least...
This paper investigates the use of a support vector machine (SVM) to predict the state of charge (SOC) of a large-scale Ni-MH battery pack in hybrid electric vehicles (HEV). Estimate the state of charge (SOC) is very essential for HEVspsila energy monitoring and management systems. The nonlinear SOC dynamics is represented by a nonlinear autoregressive moving average with exogenous variables (NARMAX)...
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