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Urethral Pressure Profilometry (UPP) is a tool in the diagnosis of urinary incontinence. The pressure profile along the urethra is measured by a special catheter in order to assess the contraction strength of the sphincter muscle. However, the diagnostic value of pressure profilometry is limited. We seek to increase the diagnostic value by providing a detailed spatial reconstruction of the pressure...
This paper proposes a fingerprint match algorithm using Minutia Spherical Coordinate Code (MSCC). This algorithm is a modified version of Minutia Cylinder Code (MCC). The advantage of this algorithm is its compact feature representation. Binary vector of every minutia only needs 288 bits, while MCC needs 448 or 1792 bits. This algorithm also uses a greedy alignment approach which can rediscover minutiae...
This paper describes a new segmentation-based classification technique for fully polarimetric synthetic aperture radar (PolSAR) images. Based on the framework which conjunctively uses statistical region merging (SRM) for segmentation and support vector machine (SVM) for classification, we improve the method by jointly introducing texture features and color features. For the segmentation step, to guarantee...
To satisfy cost constraints, application implementation in embedded systems requires fixed-point arithmetic. Thus, applications defined in floating-point arithmetic must be converted into a fixed-point specification. This conversion requires accuracy evaluation to ensure algorithm integrity. Indeed, fixed-point arithmetic generates quantization noises due to some bits elimination during a cast operation...
The tracking behavior of Least Mean Squares (LMS) and Recursive Least Squares (RLS) algorithms have been under considerations for several years. For system identification problems it is usually assumed that the system under consideration is of FIR type with coefficients that are statistically independent random processes with identical distribution (IID), a somewhat artificial assumption that can...
This tutorial paper explains the principles and areas of application of oversampling data converters. A comparison between Nyquist-rate and oversampling converters is given, and some commonly used architectures discussed for both D/A and A/D oversampling converters.
The low computation cost, short delay and accuracy of SINTRACK, makes it a very interesting real-time signal processing tool for detection and estimation of damped sinusoids in noise. A noise analysis, as well as a parameters' optimal adjustment analysis are provided. SINTRACK was successfully applied for detection and estimation of a HALE wing bending and torsion oscillations, validating a theoretical...
Methods are investigated to improve the registration of images corrupted by rigid displacements using the Least Mean Square (LMS) algorithm. Results show that LMS adaptive registration (LMSAR) is effective for small translational displacements, but fails for large translational displacements where the correlation between the rotation data sets is too weak. In an attempt to improve the robustness of...
In many signal processing applications, one has to solve an overdetermined system of linear equations Ax ≈ b, while minimizing the errors on A and b. The Total Least Squares (TLS) method calculates corrections ΔA and Δb such that (A + ΔA)x = b + Δb and ||[ΔA Δb]||F is minimal. The resulting parameter vector x is ä Maximum Likelihood (ML) estimate when the noise on the different entries of [A b] is...
Computation of an instantaneous phase shift between two real-value signals by means of the Wigner transform is proposed. It is pointed out that the new method is about 37.5% faster than the Fourier transform one while having the similar dynamic accuracy and noise sensitivity for signals with high SNR.
We study the coding efficiency of view synthesis prediction (VSP) in 3D video coding. Our spectral domain analysis relates the power spectral density (PSD) of the VSP prediction error to the probability density function (pdf) of the warping error. Our analysis takes into account the warping error induced by (i) depth coding and (ii) rounding error at integer-pel, half-pel and quarter-pel warping accuracy...
Advances in high-resolution, high-throughput 3D microscopy techniques are enabling subcellular investigation of whole small animal organs such as the mouse brain. Knife-Edge Scanning Microscopy (KESM) is one such technique based on physical (or serial) sectioning to overcome diffraction limited imaging in optical sectioning approaches. However, due to the physical sectioning process depending on a...
This paper introduces a novel method that effectively and efficiently encodes the spatial geometric information of bag of visual words (BoW) to boost the performance of large scale partial duplicate image discovery and clustering. The loose cyclic spatial verification (LCSV) technique projects the locations of BoWs onto the perimeter of a circle centred around their geometric centroid and encodes...
A group of junior and senior researchers gathered as a part of the 2014 Frederick Jelinek Memorial Workshop in Prague to address the problem of predicting the accuracy of a nonlinear Deep Neural Network probability estimator for unknown data in a different application domain from the domain in which the estimator was trained. The paper describes the problem and summarizes approaches that were taken...
Traditional sound event recognition methods based on informative front end features such as MFCC, with back end sequencing methods such as HMM, tend to perform poorly in the presence of interfering acoustic noise. Since noise corruption may be unavoidable in practical situations, it is important to develop more robust features and classifiers. Recent advances in this field use powerful machine learning...
The present paper dealt with speaker clustering for speech corrupted by noise. In general, the performance of speaker clustering significantly depends on how well the similarities between speech utterances can be measured. The recently proposed i-vector-based cosine similarity has yielded the state-of-the-art performance in speaker clustering systems. However, this similarity often fails to capture...
This paper presents a hybrid method for single-source localization in wireless sensor networks, fusing noisy range measurements with angular information extracted from video. Although recent works found in the literature explore hybrid schemes, these include several cumbersome assumptions. We develop and test, both numerically and experimentally, a hybrid localization algorithm which surpasses the...
In this paper, we describe an algorithm for sensor network localization (SNL) that proceeds by dividing the whole network into smaller subnetworks, then localizes them in parallel using some fast and accurate algorithm, and finally registers the localized subnetworks in a global coordinate system. We demonstrate that this divide-and-conquer algorithm can be used to leverage existing high-precision...
This paper proposes an estimator for refining the inaccurate positions and clocks of the anchors during the localization and synchronization of a sensor node in a wireless sensor network. It solves the highly nonlinear problem in closed-form through parameter transformation and multi-stage weighted least squares processing. Theoretical analysis and simulation studies show that the proposed estimator...
Both consumer market and manufacturing industry makes heavy use of 1D (linear) barcodes. From helping the visually impaired to identifying the products to industrial automated industry management, barcodes are the prevalent source of item tracing technology. Because of this ubiquitous use, in recent years, many algorithms have been proposed targeting barcode decoding from high-accessibility devices...
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