It is important to estimate the ridge distance accurately, an intrinsic texture property of a fingerprint image. Up to now, only several articles have touched directly upon ridge distance estimation. Little has been published providing detailed evaluation of methods for ridge distance estimation, in particular, the traditional spectral analysis method applied in the frequency field. In this pap...

The concept of Ultra Dense Networks (UDN) is often seen as a key enabler of the next generation mobile networks. However, existing analysis of UDNs, including Stochastic Geometry, has not been able to fully determine the potential gains and limits of densification. In this paper we study performance of UDNs in downlink and provide new insights on the impact of antenna height and careful site se...

This paper presents a framework for the analysis and exploration of performance space. It enables the user to visualize performances in relation to other performances of the same piece based on a set of features extracted from audio. A performance space is formed from a set of performances through spectral analysis, alignment, dimensionality reduction and visualization. Operation of the system ...

In order to reduce the cost of the test procedure for ADCs, it would be of great interest to evaluate static performances via the frequency domain. Indeed, estimating static parameters from spectral analysis would permit to extract the complete set of ADC parameters (both static and dynamic) with shorter processing time and reduced hardware resources. Results presented in this paper concern the...

Eigenvector methods are gaining increasing acceptance in the area of spectrum estimation. This paper presents a successful attempt at testing and evaluating the performance of two of the most popular types of subspace techniques in determining the parameters of multiexponential signals with real decay constants buried in noise. In particular, MUSIC (Multiple Signal Classification) and minimum-n...

Many motion segmentation algorithms based on manifold clustering rely on a accurate rank estimation of the trajectory matrix and on a meaningful affinity measure between the estimated manifolds. While it is known that rank estimation is a difficult task, we also point out the problems that can be induced by an affinity measure that neglects the distribution of the principal angles. In this pape...

In this letter, we propose a novel slope-based binary modulation called delayed chip slope modulation (DCSM) and develop a chip-based hard-decision receiver to demodulate the resulting signal, detect the chip sequence, and decode the input bit sequence. Shorter duration of chips than bit duration are used to represent the change of state in an amplitude level according to consecutive bit inform...

In this paper, we report application procedures and observed results of multi-resolution Fourier analysis proposed in the first part of this series. Missing signal recovery derived from multi-resolution theory is developed. It is shown that multi-resolution Fourier analysis enhances dramatically performances of Fourier spectra suffering limitations traced to implicit time windowing. Observed fr...

No doubt wireless network is an amazing wireless technology which has totally changes means of communication. There is no business, industry, project which can be progressed without needs of wireless networks. Now a wireless network has become significant option of any business because of its salient features like speed, security, mobility. In this paper first we provided an overview of WiMAX t...

A torsion pendulum without a torsion wire has been designed and realized, in order to measure very weak forces. The arm of this torsion pendulum ~5.40 g, 1.32310 kg m of inertia! is electrostatically suspended. Its 6 degrees of freedom are controlled thanks to electrostatic forces, and capacitive position sensing with a noise spectral density between 10 and 10 m/AHz. The torque noise spectral d...