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Group sparse beamforming for green cloud-RAN
A cloud radio access network (Cloud-RAN) is a network architecture that holds the promise
of meeting the explosive growth of mobile data traffic. In this architecture, all the baseband …
of meeting the explosive growth of mobile data traffic. In this architecture, all the baseband …
Efficient CSP algorithm with spatio-temporal filtering for motor imagery classification
Common spatial pattern (CSP) is an efficient algorithm widely used in feature extraction of
EEG-based motor imagery classification. Traditional CSP depends only on spatial filtering …
EEG-based motor imagery classification. Traditional CSP depends only on spatial filtering …
[کتاب][B] Digital Signal Processing with Matlab Examples, Volume 1
JM Giron-Sierra - 2017 - Springer
Probably the most important technological invention of the previous century was the
transistor. And another very important invention was the digital computer, which got a …
transistor. And another very important invention was the digital computer, which got a …
Iterative reweighted l1 design of sparse FIR filters
Sparse FIR filters have lower implementation complexity than full filters, while kee** a
good performance level. This paper describes a new method for designing 1D and 2D …
good performance level. This paper describes a new method for designing 1D and 2D …
Enriching the art of FIR filter design via convex optimization
The effective design of FIR filters requires judicious compromises to be made between
competing properties of the filter. As we have argued herein, when those properties lie in a …
competing properties of the filter. As we have argued herein, when those properties lie in a …
Peak-error-constrained sparse FIR filter design using iterative SOCP
A Jiang, HK Kwan, Y Zhu - IEEE Transactions on Signal …, 2012 - ieeexplore.ieee.org
In this paper, a novel algorithm is proposed to design sparse FIR filters. It is known that this
design problem is highly nonconvex due to the existence of-norm of a filter coefficient vector …
design problem is highly nonconvex due to the existence of-norm of a filter coefficient vector …
Design of sparse FIR filters with joint optimization of sparsity and filter order
In this paper, two novel algorithms are developed to design sparse linear-phase (LP) FIR
filters. Compared to traditional design methods, they can jointly optimize coefficient sparsity …
filters. Compared to traditional design methods, they can jointly optimize coefficient sparsity …
Minimax design of MD sparse FIR filters with arbitrary frequency response using SOCP
The number of coefficients of multi-dimensional (MD) finite-extent impulse response (FIR)
filters increases exponentially with the number of dimensions leading to significantly high …
filters increases exponentially with the number of dimensions leading to significantly high …
A branch-and-bound algorithm for quadratically-constrained sparse filter design
This paper presents an exact algorithm for sparse filter design under a quadratic constraint
on filter performance. The algorithm is based on branch-and-bound, a combinatorial …
on filter performance. The algorithm is based on branch-and-bound, a combinatorial …
WLS design of sparse FIR digital filters
A Jiang, HK Kwan - IEEE Transactions on Circuits and Systems …, 2012 - ieeexplore.ieee.org
In this paper, we propose a novel algorithm for sparse finite impulse response (FIR) filter
designs. The objective of the sparse digital filter design problem considered in this paper is …
designs. The objective of the sparse digital filter design problem considered in this paper is …