In signal processing, reconstruction usually means the determination of an original continuous signal from a sequence of equally spaced samples. This article...

mixed-signal system (analog and digital), a reconstruction filter, sometimes called an anti-imaging filter, is used to construct a smooth analog signal from...

original signal can be reconstructed from a sequence of samples, up to the Nyquist limit, by passing the sequence of samples through a reconstruction filter...

converters for signal acquisition and reconstruction, which involves measuring a physical signal, storing or transferring it as digital signal, and possibly...

The Reconstruction era was a period in United States history and Southern United States history that followed the American Civil War (April 12, 1861 –...

of the signal in question and not its highest frequency. This is a misconception, because the sampling theorem guarantees perfect reconstruction given...

surgery Shooting reconstruction Signal reconstruction, the determination of an original continuous signal from samples Linguistic reconstruction Single particle...

(AAF) to the input signal before sampling and when converting a signal from a higher to a lower sampling rate. Suitable reconstruction filtering should...

of its reconstruction values are equally spaced as well. A common assumption for the analysis of quantization error is that it affects a signal processing...

signal reconstruction done by a conventional digital-to-analog converter (DAC). That is, it describes the effect of converting a discrete-time signal...

theory (IFT) is a Bayesian statistical field theory relating to signal reconstruction, cosmography, and other related areas. IFT summarizes the information...

of reconstruction from zero crossings can be stated as: given the zero crossings of a continuous signal, is it possible to reconstruct the signal (to...

commonly used to measure the quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data...

audio signal reconstruction may inspire further research in optimizing this approach or applying it to other domains, such as image reconstruction (i.e...

A digital signal that does not contain any samples at 0 dBFS can still clip when converted to analog form due to the signal reconstruction process interpolating...

samples. Perfect reconstruction may still be possible when the sample-rate criterion is not satisfied, provided other constraints on the signal are known (see...

abbreviation for zero order Zero-order hold, model of the practical signal reconstruction done by a conventional digital-to-analog converter Zero order process...

property gives necessary and sufficient conditions on the reconstruction of sparse signals using the techniques of ℓ 1 {\displaystyle \ell _{1}} -relaxation...

communication was primarily viewed as a deterministic signal-reconstruction problem: how to transform a received signal, distorted by the physical medium, to reconstruct...

Paper Award from IEEE Signal Processing Society in the Multidimensional Signal Processing category), and "Signal Reconstruction from Short-time Fourier...

oversampling at signal reconstruction, absent oversampling at the source. Consider 16× oversampling at reconstruction. Each sample at reconstruction would be...

well as signal reconstruction. Following is a partial list of spectral density estimation techniques: Non-parametric methods for which the signal samples...

direction-of-arrival (DOA) estimation and tomographic reconstruction with applications in signal processing, medical imaging and remote sensing. The name...

work on compressed sensing 2020 – Bolyai Prize 2021 – IEEE Jack S. Kilby Signal Processing Medal 2022 – Global Australian of the Year (Advance Global Australians;...

Tomographic reconstruction is a type of multidimensional inverse problem where the challenge is to yield an estimate of a specific system from a finite...

development of an algorithm for signal reconstruction in zero-knowledge one-way communication channels. This algorithm decodes signals from unknown sources without...

Surface reconstruction refers to the process by which atoms at the surface of a crystal assume a different structure than that of the bulk. Surface reconstructions...

much better DOA estimation. SAMV beamforming algorithm is a sparse signal reconstruction based algorithm which explicitly exploits the time invariant statistical...

in 1981. Her master's thesis was entitled, “Effects of Noise in Signal Reconstruction from its Fourier Transform Phase”. Espy-Wilson received her “Electrical...

In a particle detector experiment, event reconstruction is the process of interpreting the electronic signals produced by the detector to determine the...