In nature and engineering world, the acquired signals are usually affected by multiple complicated factors appear as multicomponent nonstationary modes. such many other situations, it is necessary to separate these into a finite number of monocomponents represent intrinsic modes underlying dynamics implicated in source signals. this paper, we consider mode retrieval signal which has crossing in...

Advanced soundscape analysis or machine listening are requiring efficient time frequency decompositions. The recent scattering theory is offering a robust hierarchical convolutional decomposition, nevertheless its kernels need to be fixed. The CNN can be seen as the optimal kernel decomposition, nevertheless it requires large amount of training data. This paper aims to show that Chirplet kernel...

In this paper we present algorithms for approximating real bandlimited signals by multiple Gaussian Chirps. These algorithms do not rely on matching pursuit ideas. They are hierarchial and, at each stage, the number of terms in a given approximation depends only on the number of positive-valued maxima and negative-valued minima of a signed amplitude function characterizing part of the signal. L...

The mixture-of-experts (ME) models can be useful to solve complicated classification problems in real world. However, in order to train the ME model with not only labeled data but also unlabeled data which are easier to come, a new learning algorithm that considers characteristics of the ME model is required. We proposed global-local co-training (GLCT), the hybrid training method of the ME mode...

This paper presents the development of a passive infra-red sensor tower platform along with a classification algorithm to distinguish between human intrusion, animal intrusion and clutter arising from wind-blown vegetative movement in an outdoor environment. The research was aimed at exploring the potential use of wireless sensor networks as an early-warning system to help mitigate human-wildli...

This paper presents a novel transform related to the framework of warping operators when the continuous time warping mapping is a second-order polynomial. This case is proven in the paper to be the only one from the aforementioned group that marginalizes the Wigner distribution along line paths, in particular, with a fan geometry. The properties and attributes of the Fan-Chirp transform (FChT) ...

Our submission to the challenge therefore focusses on feature design for two goals: noise robustness, and the representation of temporal structure. We first analyse each sound file into basic features, either MFCCs (13 MFCCs plus delta features) or our peak-chirplet representation [3]. Importantly, both of these feature algorithms are modified to apply noise reduction in their spectral analysis...

For constant monitoring of rotor slot in induction motor, average variation (ARSV) prediction is proposed. The slots expand due to thermal stress and high intensity magnetic flux. flux with created lamination sheet, because stretching curving surface exhibits over current which turn generates heat transfers the into surface. stress-based size never monitored or measured before. In proposed ARSV...