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Image scrambling is an important approach to cover image information. This paper presents a novel image scrambling algorithm based on two-dimensional discrete Henon map. In our algorithm, the parameters of Henon map are regarded as the key of scrambling, and image pixels are scrambled by iteration of the Henon map. The numerical experimental results show that the proposed algorithm has quite prominent...
A spectral shaping technique is adopted to expand the operating frequency range for DWT-based blind audio watermarking. The process is performed framewisely over the 3rd level approximation subband, of which the spectrum spans from 0 to 2756 Hz. The effectiveness of the proposed scheme is demonstrated using the perceptual evaluation of audio quality and bit error rates of recovered watermarks under...
Sensor placement is of pivotal importance in closed-loop control as measurements are key to design the control laws. In this article, a novel machine learning-based sensor placement algorithm is proposed in order to recover a high-dimensional field from a limited amount of local measurements with a linear estimator. Unlike many other methods, our algorithm does not rely on a reduced order model and...
This paper is concerned with the problem of robust full-order ℋ∞ filter design for uncertain discrete-time linear systems. The uncertainties are supposed to be time-invariant and to belong to a polytopic domain. The main novelty is the fact that the filter contains an arbitrary number of past states and past system output measures, yielding a filtering system with memory. Linear matrix inequality...
In this paper, we consider the CRT problem for real numbers with noisy remainders that follow wrapped Gaussian distributions. We propose the maximum likelihood (ML) estimation based CRT when the remainder noises may not necessarily have the same variances. The proposed algorithm only needs to search for the solution among L elements, where L is the number of remainders. We compare the performances...
Recursive least square (RLS) is a ubiquitous adaptive filtering algorithm used in general adaptive signal processing applications. However, it is well known that RLS is sensitive to outlier contaminated in measurements. Traditional robust RLS has difficulties to cope with correlated ambient noise. To provide robustness in such cases, a robust RLS via outlier pursuit (RRLSvOP) framework is proposed...
This paper deals with active noise control (ANC) for impulsive noise sources for which the filtered-x least mean square (FxLMS) algorithm becomes unstable. By minimizing the fractional lower order moment, the resulting filtered-x least mean p-power (FxLMP) algorithm has an update vector being computed using sign operator and fractional power of the residual error signal. This results in improved robustness...
The speaker verification (SV) task has been an active area of research in the last thirty years. One of the recent research topics is on improving the robustness of SV system in challenging environments. This paper examines the robustness of current state of the art SV system against background noise corruptions. Specifically, we consider the scenario where the SV system is trained from noise free...
Most of the existing sparse recovery methods are based on the squared error criterion, i.e., ℓ2-norm metric, by appropriately adding to a sparsity-promoting regularizer. This criterion is, however, statistically optimal only when the noise are Gaussian distributed. In fact, non-Gaussian impulsive noise with heavy tailed distribution has been reported in a variety of practical applications. To guarantee...
We consider the control of two UAVs tracking an evasive moving ground vehicle. The UAVs are small fixed-wing aircraft equipped with gimbaled cameras and must coordinate their control actions so that at least one UAV is always close to the target. The control actions of the UAVs are computed based on noisy measurements of the UAVs' current state and vision-based measurements of the target's position...
This paper compares the performance of five different Distribution System State Estimation (DSSE) methods, using field data taken from a European MV distribution network. The performance of each method is assessed in terms of its solution accuracy, robustness to noise and input measurement uncertainty, and ability to identify bad data and network topology errors. The advantages and disadvantages of...
Animals show remarkable capabilities in navigating their habitat in a fully autonomous and energy-efficient way. In many species, these capabilities rely on a process called path integration, which enables them to estimate their current location and to find their way back home after long-distance journeys. Path integration is achieved by integrating compass and odometric cues. Here we introduce a...
Correntropy has been successfully applied in non-Gaussian signal processing, but the superior performance achieved is depends on appropriate selection of the kernel width. How to select a proper kernel width is a crucial problem in correntropy applications. In this paper, we propose an adaptive algorithm to update the kernel width, which is set at a maximum between the absolute value of instantaneous...
A novel approach for matching event sequences, that result from threshold-based sampling, is introduced. This approach relies on Hermann Weyl's discrepancy norm, which plays a central role in the context of stability analysis of threshold-based sampling. This metric is based on a maximal principle that evaluates intervals of maximal partial sums. It is shown that minimal length intervals of maximal...
We consider linear continuous-time systems with multiplicative noise and polytopic type parameter uncertainty and we address the problems of H∞ state-feedback control and filtering of these systems. These problems are solved by applying a vertex dependent Lyapunov function that considerably reduces the over-design associated with the classical “quadratic” design that is based on a single Lyapunov...
This paper deals with a performance portrait based robustness and performance analysis of one of the first disturbance observer (DO) based PI controllers applied to the first order plants. The chosen structure has been established as a PI control augmented by a DO with the aim to improve the disturbance response and to increase the loop robustness. Thereby, three possible DO filters have been introduced,...
We demonstrate trajectory control of the tip of an inverted pendulum atop a small unmanned aerial vehicle. In this paper we discuss how exploiting the differential flatness of combined systems provides a realization of adequate control. A differential flatness controller is derived for trajectory control of a pendulum tip. Simulation results are presented for tip trajectory tracking with and without...
In this paper, we present a robust and efficient approach for segmenting images with less and intuitive user interaction, particularly targeted for mobile touch screen devices. Our approach combines geodesic distance information with the flexibility of level set methods in energy minimization, leveraging the complementary strengths of each to promote accurate boundary placement and strong region connectivity...
In recent years, the local feature descriptor called SHOT (Signature of Histograms of OrienTations) has achieved excellent performance in 3D vision. However, there still exists room for improvement: on the one hand, the convexity and concavity information is still ambiguous; on the other hand, it is not consistent and unique enough for constructing histograms with just angle information between normals...
An all-digital True Random Number Generator (TRNG) harvesting entropy from the collapse of 2 edges injected into one even-stage ring is fabricated in 40nm CMOS. A configurable ring and tuning loop provides robustness across a wide range of temperature (−40 to 120°C), voltage (0.6 to 0.9V), process variation, and external attack. The dynamic tuning loop automatically configures the ring to meet a sufficient...
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