نتایج جستجو برای: temporal averaging filter

تعداد نتایج: 382035  

2015
S. Karthick S. Valarmathy E. Prabhu

Main concepts in DSP include filtering, averaging, modulating, and correlating the signals in digital form to estimate characteristic parameter of a signal into a desirable form. This paper presents a brief concept of low power datapath impact for Digital Signal Processing (DSP) based biomedical application. Systolic array based digital filter used in signal processing of electrocardiogram anal...

In this article, growable deep modular neural networks for continuous speech recognition are introduced. These networks can be grown to implement the spatio-temporal information of the frame sequences at their input layer as well as their labels at the output layer at the same time. The trained neural network with such double spatio-temporal association structure can learn the phonetic sequence...

Journal: :Journal of the Optical Society of America. A, Optics, image science, and vision 2017
Sami Arpa Sabine Süsstrunk Roger D Hersch

We present a method for hiding images in synthetic videos and reveal them by temporal averaging. The main challenge is to develop a visual masking method that hides the input image both spatially and temporally. Our masking approach consists of temporal and spatial pixel by pixel variations of the frequency band coefficients representing the image to be hidden. These variations ensure that the ...

2009
P. Jagatheeswari M. Rajaram

The goal of image enhancement technique is to improve a characteristics or quality of an image, such that the resulting image is better than the original image. Histogram equalization (HE) is widely used for contrast enhancement. However, it tends to change the brightness of an images, where preserving the original brightness is essential to avoid annoying artifacts. So Bi-histogram equalizatio...

2009
Jose Bermudez Ridwan C. Chin Payam Davoodian Alfred Tsz Yin Lok

An array antenna system with innovative signal processing can enhance the resolution of a signal direction of arrival (DOA) estimation. The performance of DOA using estimation signal parameter via a rotational invariant technique is investigated in this paper. The DOA angles are derived from the auto-correlation and cross-correlation matrices. Three matrix estimation methods, (1) temporal avera...

2012
Mahmoud Saeidi

In this paper, we propose a novel adaptive spatiotemporal filter that utilizes image sequences in order to remove noise. The consecutive frames include: current, previous and next noisy frames. The filter proposed in this paper is based upon the weighted averaging pixels intensity and noise variance in image sequences. It utilizes the Appropriate Number of Consecutive Frames (ANCF) based on the...

2001
Massimiliano Lenardi Dirk T. M. Slock

The 2D RAKE receiver is a spatio-temporal matched filter (MF), matched to the operations of spreading, pulse-shape filtering and spatio-temporal channel filtering. An SINR maximizing linear receiver may perform much better. In the downlink, in which the channel is the same for all intracell signals, and with orthogonal codes and cell-dependent scrambling, good SINR performance can be attained w...

2009
Martin Fuchs Tongbo Chen Oliver Wang Ramesh Raskar Hans-Peter Seidel Hendrik P. A. Lensch

In the time domain, movie cameras typically perform a discrete sampling of real-world imagery. While the effect of discrete sampling in the spatial domain is well understood, the effect on temporal sampling during acquisition has been rarely addressed in the past, partially due to the lack of configurable hardware. In this article, we investigate the effect of different temporal sampling kernel...

Journal: :NeuroImage 2012
Aya Ben-Yakov Christopher J. Honey Yulia Lerner Uri Hasson

To separate neural signals from noise, brain responses measured in neuroimaging are routinely averaged across space and time. However, such procedures may obscure some properties of neural activity. Recently, multi-voxel pattern analysis methods have demonstrated that patterns of activity across voxels contain valuable information that is concealed by spatial averaging. Here we show that tempor...

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