The notion of magnitude limits is formalized as a compromise between incompleteness and spurious detections. The best possible detection performance for given signal-to-noise is then computed for diierent point spread functions and pixel sizes. The resulting theoretical magnitude limits are much shallower than simple 3 arguments would predict (and the reason for this is explained), but are (as ...

In this paper a denoising strategy based on the EEMD (Ensemble Empirical Mode Decomposition) is used to reduce background noise in non-stationary signals, which represent forces measured scaled model testing of emergency water landing aircraft, generally referred as ditching. Ditching tests are performed at constant horizontal speed 12 m/s and vertical velocity beginning impact 0.45 m/s. The da...

This paper presents a high-precision, successive approximation register (SAR) analog-to-digital converter (ADC) with resistive analog front-end for low-voltage and wide input range applications. To suppress the serious nonlinearity brought by voltage coefficients of without deteriorating differential performance, mixed-signal calibration scheme based on piecewise-linear method digital-to-analog...

An improved approach to interferometry using sinusoidal phase shifting balances several harmonic components in the interference signal against each other. The resulting computationally efficient phase-estimation algorithms have low sensitivity to errors such as spurious intensity noise, vibration, and errors in the phase shift pattern. Specific example algorithms employing 8 and 12 camera frame...

The more a priori knowledge we encode into a signal processing algorithm, the better performance we can expect. In this paper, we overview several approaches to capturing the structure of singularities (edges, ridges, etc.) in wavelet-based signal processing schemes. Leveraging results from approximation theory, we discuss nonlinear approximations on trees and point out that an optimal tree app...

In this study, a C~K band frequency synthesizer used in broadband electronic warfare equipment was designed, developed, and the measurement results were presented. The structure of designed generates signal up to 6 GHz using only direct digital synthesizer(DDS) without mixer or multiplier. For signals above frequency, uses addition, variable sampling DDS circuit improve quality by reducing spur...

introduction radiofrequency planar microcoils are used to increase the resolution of magnetic resonance images of small samples. in this study, we aimed to design and fabricate a spiral planar microcoil constructed on a double-sided printed circuit board (pcb). it has four rings with an internal diameter of 241 microns tuned and matched at 63.8 mhz. materials and methods to achieve the maximum ...

Most of the signals recorded in experiments are inevitably contaminated by measurement noise. Hence, it is important to understand the effect of such noise on estimating causal relations between such signals. A primary tool for estimating causality is Granger causality. Granger causality can be computed by modeling the signal using a bivariate autoregressive (AR) process. In this paper, we grea...

This paper presents a novel approach for enhancing palmprint image. Enhancement is a preprocessing step used to modify the contrast of the image and remove the noise. Traditional Histogram equalization techniques improve the contrast of the image but introduce spurious noise. Palmprint consists of fine features. In order to extract fine features from the palmprint image, enhancement has to be d...

based on the compressed sensing theory, if a signal is sparse in a suitable space, by using the optimization methods, signal could be accurately reconstructed from measurements that are significantly less than the theoretical shannon requirements. the sparse representation may exist for the signal and it is not available for the noise; this could be used to distinguish these two. on the other h...