norm minimization
Tonal signal detection in passive sonar systems using atomic norm minimization
... unavoidable, resulting in a severe degradation of the object detection quality. To overcome the basis mismatch error, we propose a tonal frequency estimation technique in the continuous frequency domain. Towards this ...
9
Joint Noise Reduction and lp Norm Minimization for Enhancing Time Delay Estimation in Colored Noise
... -norm minimization-based estimation method [8]. Among them, the l p -norm minimization-based estimation method can find the time delay by minimizing an l p -norm objective ...
8
MAP-Based Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and -Norm Minimization
... We address the problem of underdetermined BSS. While most previous approaches are designed for instantaneous mixtures, we propose a time-frequency-domain algorithm for convolutive mixtures. We adopt a two-step method ...
12
Robust model reduction by \(L^{1}\)-norm minimization and approximation via dictionaries: application to nonlinear hyperbolic problems
... We propose a novel model reduction approach for the approximation of non linear hyperbolic equations in the scalar and the system cases. The approach relies on an offline computation of a dictionary of solutions together ...
16
On the use of two L1 norm minimization methods in geodetic networks
... L1 norm adjustment of a linear functional ...L1 norm adjustment leads to solving a linear programming (LP) ...L1 norm minimization is presented based on the LP problem for a rank deficient ...
8
Estimation of Graphical Models through Structured Norm Minimization
... In this paper, a new structured norm minimization method for solving multi-structure graphical model selection problems is proposed. Using the proposed SSON, we can efficiently and accurately recover the ...
48
Direction of arrival of strictly non circular sources based on weighted mixed norm minimization
... In this paper, we propose a weighted subspace mixed- norm DoA estimation algorithm for non-circular signal. The algorithm makes the most of the non-circularity of the sources and formulates the DoA estimation as a ...
10
On recovery of block sparse signals via mixed l 2 /l q (0 < q ≤ 1) norm minimization
... Compressed sensing (CS) states that a sparse signal can exactly be recovered from very few linear measurements. While in many applications, real-world signals also exhibit additional structures aside from standard ...
17
Consistency of Trace Norm Minimization
... Regularization by the sum of singular values, also referred to as the trace norm, is a popular tech- nique for estimating low rank rectangular matrices. In this paper, we extend some of the consis- tency results ...
30
Fast Solution of l 1 -norm Minimization Problems When the Solution May be Sparse
... Lemmas 3 and 4 establish the correct term selection property and the sign agreement property at a single iteration of the algorithm... (4.9).[r] ...
45
Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints
... trace norm (also known as the nuclear norm) as a convex surrogate of the ...trace norm relaxation, combined with a more refined analysis and an iterative/active peeling ...
36
A new smoothing modified three term conjugate gradient method for \(l {1}\) norm minimization problem
... On the other hand, the nonlinear conjugate gradient methods and smoothing methods are used widely to solve large-scale optimization problems [24, 25], total variation image restoration [[r] ...
14
Sub-one lp Quasi-norm Minimization and Applications.
... functions are commonly used to measure errors, which are also referred to as the least absolute deviation and the least squares error, respectively. Since the least square error tends to expand large errors, it is much ...
120
Sparse LS-SVMs with L0-norm minimization
... Switching to the second category, we can fix in advance the number of SVs of the final model [7]. Its main problem is the loss of performance when the number selected is too small. A somewhat similar method is the one in ...
6
Row and Column-Max-Average Norm and Max-Min Norm of Fuzzy Matrices
... The norm of a matrix is a measure of how large its elements ...The norm of a square matrix A is a non negative real number denoted by A ...matrix norm but they all share the following properties: ...
15
Interventionist norm development in international society : the responsibility to protect as a norm too far?
... Protect Norm in International Society The apparent failure of the responsibility to protect norm in the case of Darfur can be interpreted in one of two ...the norm in Darfur is not reflective of a ...
169
Geregistreerde Belgische norm
... ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of electrotechnical standardization. International Standards are drafted in accordance w[r] ...
13
Geregistreerde Belgische norm
... The RABC team shall develop and document the specific corrective actions which shall be implemented for each CP when the results of monitoring shows deviation from target levels and tole[r] ...
21
On the Norm of Elementary Operator
... Some mathematicians have attempted to determine the norm of E n . Timoney, used (matrix) numerical ranges and the tracial geometric mean to obtain an approximation of E n [1], while Nyamwala and Agure used the ...
9
A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion
... The rest of the paper is organized as follows. Section 2 begins with the basic notation and def- initions, and then states a collection of useful results on the matrix norms, Rademacher complexity and distances between ...
29