The phrase "a sparse representation for" is correct and usable in written English.
It can be used in contexts related to data representation, mathematics, or computer science, particularly when discussing efficient ways to represent data with minimal resources.
Example: "In machine learning, a sparse representation for the input data can significantly reduce computational costs."
Alternatives: "an efficient representation for" or "a minimal representation for".
Having the dictionary in hand, a sparse representation for (A^{N}) is sought.
The coding gain is achieved by considering a sparse representation for the excitation source.
As a result, the proposed transform provides a sparse representation for two-dimensional piecewise smooth signals that resemble images.
To significantly improve the online computation, we integrate the reduced mixed GMsFE basis methods with sparse tensor approximation and obtain a sparse representation for the model's outputs.
It has been demonstrated in [15] that a proper selection of the hyper-parameters a and b encourages a sparse representation for the coefficients in (tilde {boldsymbol {b}}_{[l]}).
If a sparse representation for plenoptic functions can be developed that exploits these geometric constraints, then it may be possible to recover plentopic functions from incomplete, random measurements using a linear problem formulation and recovery algorithms such as (1) or (2).
They generated a sparse representation from multiple video frames for face and body part recognitions.
Recently, an adaptive wavelet transform, referred to as Easy Path Wavelet Transform (EPWT),e was proposed in [20] for a sparse representation of images.
A sparse representation of face is learned from video for online face recognition under unconstrained conditions [31].
In this paper, the problem of direction of arrival (DOA) estimation for monostatic multiple-input multiple-output (MIMO) radar is addressed, and a sparse representation scheme for DOA estimation is proposed.
We learned a sparse representation dictionary for each of these high-SNR images, and utilized them to denoise the low-SNR B-scans.
