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searching for Signal reconstruction 29 found (39 total)

Multidimensional DSP with GPU acceleration (2,902 words) [view diff] no match in snippet view article find links to article

Multidimensional Digital Signal Processing (MDSP) refers to the extension of Digital signal processing (DSP) techniques to signals that vary in more than

Steganography (6,107 words) [view diff] exact match in snippet view article find links to article

latent information. The main idea of their paper is to enhance audio signal reconstruction by fusing steganography, halftoning (dithering), and state-of-the-art

Hamid Nawab (609 words) [view diff] case mismatch in snippet view article find links to article

Society in the Multidimensional Signal Processing category), and "Signal Reconstruction from Short-time Fourier Transform Magnitude". Among his other major

Signal processing (2,280 words) [view diff] case mismatch in snippet view article find links to article

2982325. Fascista, A.; Coluccia, A.; Ravazzi, C. (2024). "Graph Signal Reconstruction under Heterogeneous Noise via Adaptive Uncertainty-Aware Sampling

Edge-preserving smoothing (756 words) [view diff] exact match in snippet view article find links to article

1109/GlobalSIP.2015.7418197. Knyazev, A.; Malyshev, A. (2017). Signal reconstruction via operator guiding. SampTA 2017: Sampling Theory and Applications

Compressed sensing (5,874 words) [view diff] exact match in snippet view article find links to article

robust to noise and artifacts and accurate enough for CS image/signal reconstruction and, therefore, fails to preserve smaller structures. Recent progress

Spectral density estimation (3,535 words) [view diff] exact match in snippet view article find links to article

approaches may also be used for missing data recovery as well as signal reconstruction. Following is a partial list of spectral density estimation techniques:

Carol Espy-Wilson (1,047 words) [view diff] case mismatch in snippet view article find links to article

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

Potts model (3,645 words) [view diff] exact match in snippet view article find links to article

∞, the thermodynamic limit. The Potts model has applications in signal reconstruction. Assume that we are given noisy observation of a piecewise constant

Barker code (1,805 words) [view diff] no match in snippet view article find links to article

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

Multidimensional signal processing (835 words) [view diff] case mismatch in snippet view article find links to article

aliasing and considerations must be made for eventual Multidimensional Signal Reconstruction. A multidimensional signal can be represented in terms of sinusoidal

Gautam Das (computer scientist) (689 words) [view diff] exact match in snippet view article

Nan; Das, Gautam; Srivastava, Divesh (25 January 2021). "Scalable signal reconstruction for a broad range of applications" (PDF). Communications of the

Infrared (9,462 words) [view diff] exact match in snippet view article find links to article

November 2021). "Dual mode imaging in mid infrared with thermal signal reconstruction for innovative diagnostics of the "Monocromo" by Leonardo da Vinci"

Terence Tao (6,678 words) [view diff] exact match in snippet view article find links to article

Justin; Tao, Terence (2006). "Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information". IEEE Transactions

Wavelet (7,207 words) [view diff] exact match in snippet view article find links to article

very sparse in the wavelet domain. This is particularly useful in signal reconstruction, especially in the recently popular field of compressed sensing

Nullspace property (741 words) [view diff] exact match in snippet view article find links to article

-relaxation is sometimes employed to circumvent the difficulties of signal reconstruction using the ℓ 0 {\displaystyle \ell _{0}} -norm. In ℓ 1 {\displaystyle

Compressed sensing in speech signals (982 words) [view diff] exact match in snippet view article find links to article

Romberg J.; Tao T. (2006). "Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information" (PDF). IEEE Transactions

Nonuniform sampling (1,377 words) [view diff] case mismatch in snippet view article find links to article

University of Illinois at Urbana-Champaign, 1997. Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals, Moshe Mishali and Yonina

Nyquist–Shannon sampling theorem (6,721 words) [view diff] case mismatch in snippet view article find links to article

Mishali, Moshe; Eldar, Yonina C. (March 2009). "Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals". IEEE Trans. Signal Process

SAMV (algorithm) (1,909 words) [view diff] exact match in snippet view article

S2CID 33008200. Malioutov, D.; Cetin, M.; Willsky, A.S. (2005). "A sparse signal reconstruction perspective for source localization with sensor arrays". IEEE Transactions

Synthetic-aperture radar (11,260 words) [view diff] exact match in snippet view article find links to article

limited by memory available. SAMV method is a parameter-free sparse signal reconstruction based algorithm. It achieves super-resolution and is robust to highly

Search for extraterrestrial intelligence (15,727 words) [view diff] exact match in snippet view article find links to article

technosignature detection is the development of an algorithm for signal reconstruction in zero-knowledge one-way communication channels. This algorithm

Tsachy Weissman (2,481 words) [view diff] no match in snippet view article find links to article

noise-inducing processes, devices, or media In a first pass, noise-corrupted-signal-reconstruction systems and methods receive an instance of one of many different

Srdjan Stankovic (1,098 words) [view diff] exact match in snippet view article find links to article

Orović, Irena; Stanković, Ljubiša (1 November 2014). "An automated signal reconstruction method based on analysis of compressive sensed signals in noisy

Sensor array (2,823 words) [view diff] exact match in snippet view article find links to article

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

Anamorphic stretch transform (2,107 words) [view diff] exact match in snippet view article find links to article

mentioned above, it has also been shown that phase recovery and signal reconstruction depends on the signal to noise ratio (SNR). Finite SNR will compromise

Multidimensional transform (4,602 words) [view diff] exact match in snippet view article find links to article

Multidimensional empirical mode decomposition Multidimensional signal reconstruction Smith, W. Handbook of Real-Time Fast Fourier Transforms:Algorithms

Single-pixel imaging (2,275 words) [view diff] exact match in snippet view article find links to article

J.; Tao, T. (2006-01-23). "Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information". IEEE Transactions

Multidimensional signal restoration (2,366 words) [view diff] case mismatch in snippet view article find links to article

Signal Processing, ASSP-30, no.2(APr. 1982),140-154 M. Hayes III, "signal Reconstruction from Phase or Magnitude", Sc.D thesis, Department of Electrical