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In this paper, an active disturbance rejection control (ADRC) with tracking differentiator (TD) solution is proposed and tested on a certain four operating condition model. The proposed system with a cascaded control scheme is constructed based on a linear Active disturbance rejection controller (LADRC) with parameters optimized under a modified fruit fly algorithm. The tracking performance could...
In this paper we propose a new regularized technique for identification of piecewise affine systems which combines the ℓ1 loss and the recently introduced stable spline kernel. This latter is used to define a quadratic penalty which embeds information on the stability of each isolated subsystem. Our procedure determines sequentially the complexity of each affine subsystem, and then its impulse response,...
Object Re-identification is a key technology for enabling mobile visual search, virtual reality and augmented reality, and a variety of security and surveillance applications. One key problem in re-identification is to have effective key point feature aggregation schemes that can preserve recall performance in short listing, while offering indexing and hashing efficiency. In the MPEG Compact Descriptor...
This paper presents a new tensor completion method named minimum volume constraint tensor completion. Unlike the nuclear norm penalization based methods, our method extends the conception of the matrix volume to the tensor volume, and uses the volume measurement as the penalization to address the tensor completion problem. The alternating direction method of multipliers (ADMM) algorithm is then employed...
This paper presents a novel pose-indexed based multi-view (PIMV) face alignment framework. Most of the current cascaded regression face alignment methods generally start with a mean shape. However, when the initial shape is far from the ground truth, the performance significantly deteriorates. Our approach aims to obtain a preferable initial shape from a pose-indexed shape searching space. This space...
In this paper, we present a novel Bayesian approach to recover simultaneously block sparse signals in the presence of outliers. The key advantage of our proposed method is the ability to handle non-stationary outliers, i.e. outliers which have time varying support. We validate our approach with empirical results showing the superiority of the proposed method over competing approaches in synthetic...
We propose a novel multi-scale shape descriptor for shape matching and object recognition. The descriptor includes three types of invariants in multiple scales to capture discriminative local and semi-global shape features and the dynamic programming algorithm is employed for shape matching. The experimental results verify that our proposed shape feature is invariant to translation, rotation, scaling,...
Video stabilization improves video quality by removing undesirable jitter. This paper proposes a new approach for video stabilization. We directly smooth the local trajectory matrix, obtained by complete trajectories, and every frame is smoothed in a separate local trajectory matrix, which is suitable for modeling the nonlinear video stream, and more effective than conventional methods based on feature...
This paper reveals the potential gain in audio quality that can be achieved by combining Spherical Logarithmic Quantization (SLQ) with advanced broadband error robust low delay audio coding based on ADPCM. We briefly summarize the basic properties and mechanisms of SLQ and the employed ADPCM scheme and show how they can be combined in a freely parameterizable coding algorithm. The resulting codec...
Support vector machine (SVM) plays an important part in fault diagnosis of chemical plant, and intelligent optimization algorithms are used to optimize the SVM parameters, including the penalty parameter C and parameter g of different kernel function, to improve performance of its faults classification. To assess SVM faults classification capability based on diverse optimization algorithms and various...
Watermarks are used to protect the copyright of multimedia and help us to identify legitimate ownership. Imperceptibility and robustness are always prime concern for the watermarking researchers. Therefore, a simple but effective blind watermarking scheme would be what we expect. In this study, we present a kind of blind watermarking technique, which is based on inter-blocks estimation of the discrete...
The severe time-varying multipath effect of underwater acoustic (UWA) channels has posed a great challenge for shallow water communication system design. Although existing literature has demonstrated that multicarrier modulation in the form of orthogonal frequency division multiplexing(OFDM) is an effective technique to deal with severe multipath effect of UWA channels, the experiments of medium distance...
The paper addresses distributed multi-target tracking in the framework of generalized Covariance Intersection (GCI) over multistatic radar system. The proposed method is based on the unlabeled version of generalized labeled multi-Bernoulli (GLMB) family by discarding the labels, referred as generalized multi-Bernoulli (GMB) family. However, it doesn't permit closed form solution for GCI fusion with...
Ionospheric scintillation can cause rapid change in the phase and amplitude of BeiDou system (BDS) navigation signals, resulting in degraded accuracy and robustness of signal tracking loops. Compared with the frequency lock loop and delay lock loop, phase lock loop (PLL) is much weaker, and would lose lock much more continually in scintillation. We analyze the variance of PLL for BDS carrier tracking...
We present a novel multimedia data hiding system using over-complete transform dictionaries. The proposed design scheme is different from most existing schemes that use orthonormal (complete) dictionaries, e.g., discrete Fourier transform (DFT), discrete cosine transform (DCT), or discrete wavelet transform (DWT) matrices, etc., during data embedding and detection phases. This paper focuses on one...
In this paper, we derive two robustness properties for the set-membership normalized least-mean-square (SM-NLMS) algorithm. The first property provides local bounds for the error/discrepancy in the coefficient vector at a given iteration, whereas the second property expands the previous one for any given iteration. As a result, this paper demonstrates for the first time that the SM-NLMS algorithm...
The paper proposes a framework for the selection of optimal configuration of line compensation devices, thyristor controlled series capacitors (TCSC) and conventional fixed series capacitors, for reducing the risk of subsynchronous resonance (SSR) in the network while maintaining required power transfer. The methodology developed in the paper is based on the robust risk evaluation of SSR that takes...
The use of Fuzzy Inference System (FIS) in decision making problems has received little attention so far. This may be due to the difficulty in gathering a complete set of fuzzy rules, which is free from noise, and the complexity in constructing an FIS model that is able to satisfy a number of important properties, including the monotonicity property. Previously, we have proposed a single-input Monotone-Interval...
Hyperspectral data unmixing has attracted considerable attention in recent years. Hyperspectral data may however suffer from varying levels of signal-to-noise ratio over spectral bands. In this paper, we investigate a robust approach for nonlinear hyperspectral data unmixing. Each observed pixel is modeled as a linear mixing of endmember spectra with nonlinear fluctuations embedded in a reproducing...
Multibaseline SAR interferometry may face unmodeled interferometric phase such as unmodeled motion phase and uncompensated atmospheric phase, as well as non-Gaussian statistics in the context of distributed scatterer. We developed the robust InSAR optimization (RIO) [1] framework to systematically tackle these issues. Experiments show that RIO outperforms the current multibaseline InSAR methods in...
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