In this paper a systematic procedure for the choice sampling period in sampled-data control is suggested. The procedure is based on an optimization scheme, where both low frequency performance, mid frequency stability margins and high frequency control activity are taken into account. The proposed evaluation method is applied to a pole placement controller for an integral plant with time-delay ...

Directional room impulse responses (DRIRs) are composed of the sound contributions reaching a given location in the room from a well-defined direction in space. DRIRs can be useful in many applications, such as the evaluation of spatial room acoustics parameters, the detection of unwanted specular reflections or the 3D auralization of acoustic spaces. A spherical array containing 16 microphones...

Morphological antialiasing is a post-processing approach which does note require additional samples computation. This algorithm acts as a non-linear filter, ill-suited to massively parallel hardware architectures. We redesigned the initial method using multiple passes with, in particular, a new approach to line length computation. We also introduce in the method the notion of topological recons...

We studied application of the cepstral analyses to the real-time signal processing. The paper describes the utilization and scope of the signal exponential weighting, diierent approaches to the phase unwrapping, and their computational complexity. A new unwrapping method that reduces the cepstral aliasing by combining the real and the diierential cepstrum is also presented. Its complexity is O(...

Introduction: It has been shown that the 3D acquisition method can provide better temporal Signal to Noise Ratio (tSNR) for high-resolution fMRI studies (1) compared to the 2D acquisition method. However, there are several practical issues that lower the efficiency of the 3D method and make it less attractive than the 2D method. Among them, an important one is the wrap-around aliasing artifact ...

Micro-Doppler, induced by micro-motion of targets, is an important characteristic for target recognition once extracted via parameter estimation. However, micro-Doppler is usually too significant to result in aliasing in the terahertz band. According to this problem, a Doppler aliasing free micro-motion parameter estimation method based on the modulo Generalized Hough transform is proposed in t...

Classiication is a fundamental act of cognition. It underlies nearly all learning, transfer of learning, generalization and abstraction. One of the well-known hard and fundamental problems is the one of perceptual aliasing, i.e. that the sensory stimulation caused by one and the same object varies enormously depending on the distance from the object, orientation, lighting conditions, etc. In th...

Physically Unclonable Functions (PUFs) have been an emerging topic in hardware security and trust in recent years, and many different kinds of PUFs have been presented in the literature. An important criterion is always the diversity of PUF responses for different devices, called inter-device uniqueness. A very popular uniqueness metric consists of calculating the pairwise hamming distance betw...

In this paper we show how to carry out robust place recognition using both near and far information provided by a stereo camera. Visual appearance is known to be very useful in place recognition tasks. In recent years, it has been shown that taking geometric information also into account further improves system robustness. Stereo visual systems provide 3D information and texture of nearby regio...

We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJC), adaptively discretizes the joint space of visual percepts and continuous actions. In a sequence of attempts to remove perceptual aliasing, it incrementally builds a decision tree that applies tests either in the i...