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This paper considers energy efficient distributed data gathering methods for correlated data field monitoring in multi-hop wireless sensor networks (WSNs) via compressed sensing (CS). This signal compression and acquisition method can be used to exploit the inherent temporal and spatial correlation of the sensor signals. Many existing CS-based data gathering methods exploit correlation structures...
In this paper, the research of visual art based on the computer and information of paintings, which can be called scientific understanding of visual art, has been brought out. Four features, multi-scale amplitude, non-stationarity of artworks, anisotropy of artworks and correlation of coefficients of the curve let transform between scales, are extracted based on the curve let transform to evaluate...
In this paper, we propose the development of a system for generating disparity maps using rectified images, one technique that is booming in depth perception systems in computer vision. For this reason, in this project, is made a brief explanation process associated with mating techniques for stereo vision. For this project, we explore correlation algorithms, such as sum of absolute differences and...
Atrial fibrillation (AF) is a common arrhythmia which can arise from periodic electrical sources. Bipolar electrograms (EGMs) recorded in the atrium are used to localize these sources. However, currently used signal processing approaches, including Fourier transform, do not accurately detect periodicity in bipolar EGMs owing to their complex morphology. This study introduces a novel variant of the...
Many naturally occurring signals exhibit near, rather than perfect, periodicity, as a result of variation in cycle length (CL). The accuracy of methods to detect near-periodic signals is typically not evaluated against known CL variations which may compromise their performance. The maximum likelihood method (ML) proposed by Noll to evaluate periodicity involves block averaging which, with smoothing...
Collaborative in-network processing has shown to efficiently reduce the per-node processing and transmission requirements in wireless multimedia sensor networks. When the camera nodes are randomly distributed in an area of interest, it is very likely that their fields of view would overlap causing the corresponding visual information to be highly correlated. In applied wireless multimedia sensor networks,...
This paper proposes an experimental analysis of the Local Mutual Information (LMI) invariance in the context of unsupervised change detection between multi-spectral images. The conversion from Digital Numbers to Surface Reflectance does not affect theoretically the LMI based change map under the assumption of homogeneous atmospheric conditions. Experiments are conducted with QuickBird bi-temporal...
With the advent of long-cavity, chirped-pulse Ti:sapphire lasers, high repetition rate oscillator pulses with hundreds of nJ energy and tens of fs pulse duration became available [1]. Conventional extracavity compression schemes are not suitable for this pulse energy range due to either the damage threshold of single-mode fibers or the low level of nonlinearity in gaseous media filling hollow-core...
The paper presents an improved subpixel image registration algorithm for InSAR image based on phase correlation and log polar transform. An improved registration technique is proposed that phase unwrapping is not necessary when two images differ only by no more than one pixel translational shift. The set of experiments based on real images demonstrate that the proposed algorithm can estimate image...
In this paper, it presents a novel approach for selecting discriminative features in multimodal information fusion based discriminative multiple canonical correlation analysis (DMCCA), which is the generalized form of canonical correlation analysis (CCA), multiple canonical correlation analysis (MCCA) and discriminative canonical correlation analysis (DCCA). The proposed approach identifies the discriminative...
In this study, the authors proposed Hough data verification to identify a 3D object image in view point change of the camera. In the method, we pay attention to a distribution pattern of Hough data. A positional relationship of the peaks as Hough data shows tendency to be kept, in case of camera shooting condition change. The object identification method based on a distinction of the peak distribution...
Impulse Radio Ultra Wide Band (IR-UWB) is the most promising communication technology for low power, short distance, high data rate applications. IR-UWB spectrum being coincided with other narrow band communication systems transmitting high powers is prone to narrow band interference (NBI). In this paper, we have used Gabor Transform to approximate template at receiver with subcarriers. In the present...
Utilizing m sequence shift register to create pseudorandom sequences is one critical method to construct desired sequences. In this thesis, a new type of nonlinear m subsequence is proposed through the analysis of feedback function of m sequence shift register with three items' primary polynomial. Eigenfunction of m subsequence shift register is presented. A new method to construct feedback function...
One of the major problems for multi-robot SLAM is that the robots only know their positions in their own local coordinate frames, so fusing map data can be challenging. In this research, the mapping process is extended to multiple robots with a novel occupancy grid map fusion algorithm. Map fusion is achieved by transforming individual maps into the Hough space where they are represented in an abstract...
It is well-known that the Hilbert transform (HLT) is useful for generating the analytic signal, and saving the bandwidth required in communication. However, it is known by less people that the HLT is used for edge detection. In this paper, we introduce the radiant Hilbert transform (RHLT), and illustrate how to use it for edge detection with advantage noise immunity, obtaining this form the image...
In this paper, histogram uniformization of digital images by means of the finite field cosine transform (FFCT) is examined. The approach consists in dividing the image into blocks and applying the FFCT, in a recursive manner, to each block. Simulations of the procedure show that the histogram of the transformed image exhibits a uniform shape and its pixels have low correlation with their neighbors...
Boolean functions play a central role in the design of information protection systems. The strength of cryptographic systems against any potential attack is determined by several criteria which the cryptographic functions should meet. These criteria can be analyzed and measured through the aid of specific tools or methods of approach. In this paper, we explore and address issues related to these methods...
Distributed video coding (DVC) is an emerging coding paradigm, aiming at low complexity encoders. This paper proposes a new scheme for transform domain Wyner-Ziv (WZ) video codec, where the key and WZ frames are encoded in multiple layers. The layers of the each frame are generated by sub sampling the 4x4 blocks in the spatial domain. After decoding each layer, side information (SI) refinement process...
The present paper paves the way toward the automatic tracking of the live camcorder (in theater, on a TV/advertising screen) video sequences. In this respect, a video fingerprinting method based on the intimate statistical model of the DWT coefficients and on a dynamic resynchronization between original and camcorded frames is advanced. Evaluated in partnership with the French cinematography authority,...
In this paper, a new nonlinear generalization of linear canonical correlation analysis (LCCA) is derived. This framework, called measure transformed canonical correlation analysis (MTCCA), applies LCCA to the considered pair of random vectors after transformation of their joint probability distribution. The proposed transform is structured by a pair of nonnegative functions called the MT-functions...
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