Regularization by Target Phase for Complex-valued Network Inversion
نویسندگان
چکیده
منابع مشابه
Complex-valued Zhang neural network for online complex-valued time-varying matrix inversion
In this paper, a new complex-valued recurrent neural network (CVRNN) called complexvalued Zhang neural network (CVZNN) is proposed and simulated to solve the complexvalued time-varying matrix-inversion problems. Such a CVZNN model is designed based on a matrix-valued error function in the complex domain, and utilizes the complex-valued first-order time-derivative information of the complex-valu...
متن کاملAutomatic estimation of regularization parameter by active constraint balancing method for 3D inversion of gravity data
Gravity data inversion is one of the important steps in the interpretation of practical gravity data. The inversion result can be obtained by minimization of the Tikhonov objective function. The determination of an optimal regularization parameter is highly important in the gravity data inversion. In this work, an attempt was made to use the active constrain balancing (ACB) method to select the...
متن کاملComplex-Valued Neural Network for Hermitian Matrices
This paper proposes neural network for computing the eigenvectors of Hermitian matrices. For the eigenvalues of Hermitian matrices, we establish an explicit representation for the solution of the neural network based on Hermitian matrices and analyze its convergence property. We also consider to compute the eigenvectors of skew-symmetric matrices and skew-Hermitian matrices, corresponding to th...
متن کاملComplex-valued stiffness reconstruction for magnetic resonance elastography by algebraic inversion of the differential equation.
Noninvasive quantitation of the mechanical properties of tissue could improve early detection of pathology. Previously a method for detecting displacement from propagating shear waves using a phase-contrast MRI technique was developed. In this work it is demonstrated how a collection of data representing the full vector displacement field could be used to potentially estimate the full complex s...
متن کامل3D Inversion of Magnetic Data through Wavelet based Regularization Method
This study deals with the 3D recovering of magnetic susceptibility model by incorporating the sparsity-based constraints in the inversion algorithm. For this purpose, the area under prospect was divided into a large number of rectangular prisms in a mesh with unknown susceptibilities. Tikhonov cost functions with two sparsity functions were used to recover the smooth parts as well as the sharp ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transactions of the Society of Instrument and Control Engineers
سال: 2013
ISSN: 0453-4654,1883-8189
DOI: 10.9746/sicetr.49.658