Results 41 to 50 of about 573,440 (274)
A Recovery Method of Double Random Phase Encoding System With a Parallel Phase Retrieval
A novel method composed of phase retrieval is proposed to precisely recover the phase distribution in the double random phase encoding system. The model of a point light source is employed to illuminate the system, in the output side of which several ...
Zhengjun Liu +3 more
doaj +1 more source
Retrieval-Induced Forgetting in a Pentylenetetrazole-Induced Epilepsy Model in the Rat
The selective retrieval of some information may lead to the forgetting of related, but non-retrieved information. This memory phenomenon is termed retrieval-induced forgetting (RIF).
Ahmad Almahozi +3 more
doaj +1 more source
Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm
Quantitative phase imaging (QPI) techniques are widely used for the label-free examining of transparent biological samples. QPI techniques can be broadly classified into interference-based and interferenceless methods.
Vijayakumar Anand +4 more
doaj +1 more source
Enhanced Phase Retrieval Method Based on Random Phase Modulation
The phase retrieval method based on random phase modulation can wipe out any ambiguity and stagnation problem in reconstruction. However, the two existing reconstruction algorithms for the random phase modulation method are suffering from problems.
Fanxing Li +4 more
doaj +1 more source
Under-Sampled Phase Retrieval of Single Interference Fringe Based on Hilbert Transform
Phase retrieval from single interference fringe is important and effective method in obtaining the real phase distribution. The original phase can be retrieved by the line integral of its gradient expressed as sine and cosine components, which were ...
Yuan Guo, Shiwei Jing, Liansuo Wei
doaj +1 more source
Modified Gerchberg–Saxton (G-S) Algorithm and Its Application
The Gerchberg–Saxton (G-S) algorithm is a phase retrieval algorithm that is widely used in beam shaping and optical information processing. However, the G-S algorithm has difficulty obtaining the exact solution after iterating, and an approximate ...
Tieyu Zhao, Yingying Chi
doaj +1 more source
Phase retrieval by hyperplanes
We show that a scalable frame does phase retrieval if and only if the hyperplanes of its orthogonal complements do phase retrieval. We then show this result fails in general by giving an example of a frame for $\mathbb R^3$ which does phase retrieval but
Botelho-Andrade, Sara +6 more
core +1 more source
Saving phase: Injectivity and stability for phase retrieval [PDF]
Recent advances in convex optimization have led to new strides in the phase retrieval problem over finite-dimensional vector spaces. However, certain fundamental questions remain: What sorts of measurement vectors uniquely determine every signal up to a ...
Bandeira, Afonso S. +3 more
core +1 more source
To appear in IEEE Transactions on Information Theory, 2024, 33 pages, 10 ...
Mengchu Xu, Dekuan Dong, Jian Wang
openaire +2 more sources
Compressive phase retrieval [PDF]
The theory of compressive sensing enables accurate and robust signal reconstruction from a number of measurements dictated by the signal's structure rather than its Fourier bandwidth. A key element of the theory is the role played by randomization. In particular, signals that are compressible in the time or space domain can be recovered from just a ...
Matthew L. Moravec +2 more
openaire +1 more source

