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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Geometry and recovery of spectral-sparse signals
频谱稀疏信号 几何 恢复
2023/4/26
Spectral-sparse signals are those sparse in the Fourier domain and are very common in wireless communications, radar, sonar, medical imaging and other applications. Their recovery from noisy, limited ...
Analysis and Recovery of Systematic Errors in Airborne Laser System
Airborne laser system System errors Error recovery adjustment model Surface extraction
2015/11/20
Although some mature manufactures of airborne laser system (ALS) have been published for some years, however, in china, the development of ALS just is on the starting step. Shanghai Institute of Techn...
Stable Recovery of Sparse Overcomplete Representations in the Presence of Noise
Sparse representation Overcomplete Representation
2015/8/21
Overcomplete representations are attracting interest in signal processing theory, particularly due
to their potential to generate sparse representations of signals. However, in general, the problem o...
Near Optimal Signal Recovery From Random Projections:Universal Encoding Strategies?
Random matrices singular values of random matrices signal recovery random projections concentration of measure sparsity trigonometric expansions uncertainty principle convex optimization duality in optimization linear programming
2015/6/17
Suppose we are given a vector f in a class F ⊂ RN, e.g. a class of digital signals or digital images. How many linear measurements do we need to make about f to be able to recover f to within pr...
Can we recover a signal f ∈ RN from a small number of linear measurements? A series of recent papers developed a collection of results showing that it is surprisingly possible to reconstruct certain t...
Templates for Convex Cone Problems with Applications to Sparse Signal Recovery
Optimal first-order methods Nesterov’s accelerated descent algorithms proximal algorithms conic duality smoothing by conjugation the Dantzig selector the LASSO nuclearnorm minimization
2015/6/17
This paper develops a general framework for solving a variety of convex cone problems that frequently arise in signal processing, machine learning, statistics, and other fields. The approach works as ...
PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming
Exact and Stable Signal Recovery Magnitude Measurements Convex Programming
2015/6/17
Suppose we wish to recover a signal x ∈ Cn from m intensity measurements of the form |hx, zii|2, i = 1, 2, . . . , m; that is, from data in which phase information is missing. We prove that if the vec...
NESTA: A FAST AND ACCURATE FIRST-ORDER METHOD FOR SPARSE RECOVERY
Nesterov’s method smooth approximations of nonsmooth functions `1 minimization duality in convex optimization continuation methods compressed sensing total-variation minimization
2015/6/17
Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the recent field of compressed sensing...
Major Coefficients Recovery: a Compressed Data Gathering Scheme for Wireless Sensor Network
Coefficients Data Gathering Wireless Sensor Network
2012/12/4
For large-scale sensor networks deployed for data gathering, energy efficiency is critical. Eliminating the data correlation is a promising technique for energy efficiency. Compressive Data Gathering ...
Wiener's Loop Filter for PLL-Based Carrier Recovery of OQPSK and MSK-Type Modulations
Wiener's Loop Filter PLL-Based Carrier Recovery OQPSK MSK-Type Modulations
2009/9/4
This letter considers carrier recovery for offset quadrature phase shift keying (OQPSK) and minimum shift keying-type (MSK-type) modulations based on phase-lock loop (PLL). The concern of the letter i...
Optimal Filtering in Pilot-Aided Carrier Recovery
Optimal Filtering Pilot-Aided Carrier Recovery
2009/9/4
The paper deals with carrier recovery based on pilot symbols in single-carrier systems. Wiener's method is used to determine the optimal unconstrained filter in estimation of phase noise assuming that...