Complex-Valued Matrix Differentiation: Techniques and Key Results
By Are Hjørungnes, David Gesbert. IEEE Transactions on Signal Processing, 2007
553 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Signal Processing
View Paper: https://www.semanticscholar.org/paper/ed105024a3b34eab4f822e07712db97c0b6a748f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Yonina C. Eldar
- Stephan Weiss
- David Hill
- Jingon Joung
- Ali H. Sayed
- D. P. Palomar
- David Infield
- Jethro Dowell
In Signal Processing
- Ali H. Sayed
- D. P. Palomar
- Yonina C. Eldar
- Stephan Weiss
- David Hill
- Jingon Joung
- David Infield
- Jethro Dowell
Citations in the corpus
- Multiuser Two-Way Amplify-and-Forward Relay Processing and Power Control Methods for Beamforming Systems (2010, methodology): “Using the techniques of complex matrix derivatives in [27] and setting the derivatives of (17) with respect to to zero, we get”
- Convex Optimization in Signal Processing and Communications (2009, methodology): “We refer the interested reader to [24, 61] for details.”
- Short-term spatio-temporal prediction of wind speed and direction (2014, methodology): “We utilise results from [34] which show that for constant matrices A and B the expressions ∂trace{AWnB}/(∂W ∗ n) = BA but ∂trace{AW nB}/(∂W ∗ n) = 0 hold.”