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Identifying and detecting the unknown abnormal sparse signal has become an important issue for distributed networks. In this paper, we proposed a new detection scheme based on convex optimization for wireless sensor networks. Under the Neyman-Pearson testing framework, the detection scheme first estimates the unknown signal by employing the convex optimization at the fusion center. Then the sensor...
The Complex Independent Component Analysis (CICA) which extends Independent Component Analysis (ICA) to complex signals has found applications in various fields. The ICA with Reference (ICA-R) has recently gained popularity in semi-blind separation of signals when a priori information of the desired sources are available in the form of reference signals. This paper extends the framework of ICA-R to...
We propose a feature extraction method based on the Volterra autoregressive model's prediction power and the data's predictability for the EEG signals to automatically detect the epileptic EEG signals from the EEG recordings. The method of determining the embedding dimension based on nonlinear prediction is applied to choose the embedding dimension of the EEG data. The proposed feature extraction...
In this digital age, with the ease of using digital imaging devices to create digital content or digital copies of analogue content, usage of digital watermarking has steadily increased due to the fact that it allows some form of protection and identification to the owner of the content against unauthorized copy or usage of the content. Visible watermarking is often the choice of content owners when...
The robust parameter design is effective method that is to produce high quality product at low cost to the manufacturer. This paper analyses disadvantages of Taguchi quality method, of which the amount of calculation is increased, algorithm is complicated, and the optimal value of variables in parameter design is updated in regression analysis. Having discovered a lot of useful information not to...
This paper studies the optimal tracking performance of multiple-input multiple-output (MIMO), finite dimensional, linear time-invariant discrete-time systems with a power-constrained additive white noise (AWN) channel in the feedback path. We adopt the tracking error power as a measure of the performance and examine the best achievable performance by all two-parameter stabilizing controllers. In the...
In this paper, a new approach of blind estimation of subcarrier number based on multiple signal classification (MUSIC) algorithm is proposed for MB-OFDM ultra-wide band (UWB) communications system. The proposed eigenvalue-construct method only using signal autocorrelation of orthogonal frequency-division multiplexing (OFDM) symbols estimates the number of subcarriers. The computer simulations show...
A multi-lattice-reduction aided (MLRA) vector precoding algorithm is proposed in this paper. Compared with traditional lattice-reduction-aided (LRA) method, the new method tries to find a set of candidates of perturbation vectors through reducing the formulated lattice to get subspaces of searching space. Within each subspace, a candidate vector is solved. Then the optimum vector is found in this...
In this paper, the puncturing pattern design criteria for rate-compatible punctured turbo (RCPT) codes are reviewed at first. Then the optimal puncturing pattern design problem for RCPT codes are highlighted for turbo codes with specific interleaver instead of the uniform interleaver assumption. By employing the constrained subcode algorithm to calculate the low weight spectrum sequence, the optimized...
This paper presents a novel evolutionary algorithm based on a hybrid of Taguchi method and particle swarm optimization (PSO), and thus is called HTPSO. First, the nonlinear nano-positioning system is approximated by the Takagi-Sugeno (T-S) fuzzy model. Second, the parallel distributed compensation (PDC) is designed to control the piezoelectric system. Last, the parameters of the fuzzy controller are...
Structured high-girth non-binary cycle codes on the high-girth symmetric Hamiltonian graphs are proposed in this paper. Using the high-girth property, we construct high-girth non-binary cycle codes with good performance in the waterfall region. By decomposing the Hamiltonian graph into Hamiltonian cycle plus chord edges and using a concise notation, the proposed cycle codes have very low description...
Detection of license plate is an important process in intelligent transportation systems before license plate recognition. In this paper, we proposed an autonomous license plate detection system with computer vision instead of sensors. Using characteristics of dynamic images, our system rapidly identifies the license plate region. The system consists of two subsystems: car detection subsystem and...
Progressive edge-growth (PEG) algorithm is a good candidate to generate tanner graphs with a large girth by establishing edges or connections between symbol and check nodes in an edge-by-edge manner. In this paper, we propose an extended PEG algorithm for constructing low-density parity-check (LDPC) codes with very high rate when given a lower bound of girth. Simulation results show the bit error...
This paper discussed the interference between 3G LTE random access preamble and the SRS (Sounding Reference Signal) via multi-UE link level simulations, analyzed the performance changes of two types of signal under the influence of interference and found out the factors which leading these changes, then we summarized the way of reducing the interference.
This paper proposes a novel cooperative diversity protocol for wireless networks, called hybrid amplify-or-decode and forward (HADF) protocol. The new protocol selects amplify-and-forward or decode-and-forward transmission in the relay terminal according to the inter-user channel situation, which is efficient in the sense that it achieves full diversity. The performance of HADF protocol is analyzed...
Decision fusion rules for wireless sensor networks in fading channel are investigated in this paper. Optimal Likelihood ratio rule has been presented under the assumption of single-sideband Gaussian channel model. However, acquiring channel information may be too costly for resource constrained sensor networks. Suboptimal likelihood ratio fusion rule is proposed which requires only the knowledge of...
In this paper we introduced the technique of moving average time reversal communication and evaluated its performance using a MISO system. From the analysis, we conclude that the proposed TR technique is well suited to operate in complex multipath and noisy environment. Moving average TR improves the system performance in noisy environment and also helps in countering the timing error, though the...
This paper investigates the power control problem involving a small number of active users whereby the standard Gaussian interference noise assumption does not hold. The model also allows for different user transmission rates. We analyze the situation under which the system can be asymptotically error-free. Subsequently, we formulate a power control optimization problem and propose an iterative descent...
Recently, the sparse overcomplete signal representations have been introduced to solve the direction-of-arrival (DOA) estimation problem by sensor array. However, it still has high computational complexity, and as the dictionary, i.e. a collection of possible direction response vectors, is required to be ldquoovercompleterdquo, it has to cover all the possible DOAs both of the interesting signals...
Based on decode-and-forward strategy, we investigate the achievable outage probability of opportunistic relaying, in which there is a single source-destination transmission pair with the help of one of multiple relays. In two-hop scenario, based on adaptive decode-and forward strategy, the achievable diversity-multiplexing tradeoff with the knowledge of channel state amplitudes is analyzed. We show...
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