The phrase "large amount of computation" is correct and usable in written English.
You can use it to refer to a considerable amount of effort, time, or resources invested into crunching data. For example: "The research project required a large amount of computation to process the gathered data."
W-CMSR consumes large amount of computation time although its computational efficiency is not affected by the signal bandwidth.
Since this conversion process requires a large amount of computation, this algorithm has low computational efficiency.
In classical Laplacian image sharpening, all pixels are processed one by one, which leads to large amount of computation.
The identification problem with large number of system parameters requires a large amount of computation time and resources.
It has such a large amount of computation that almost all the pixels in all the frames are involved in the worst case.
In the inertial motion capture system, the model complexity and the large amount of computation make the completion of the orientation estimation algorithm rely solely on PC.
However, computing with T2 FSs can require undesirably large amount of computations since it involves numerous embedded T2 FSs.
Other operability analysis approaches that have the capability to include full nonlinear process models rely on mixed integer dynamic optimisation techniques which, in general, require large amount of computations.
In addition, the SAGE algorithm still performs a large amount of computations, thus requiring a costly hardware implementation.
All the schemes can improve SD efficiency to some degrees while still maintaining a large amount of computations.
However, the expected complexity is exponential in the number of antennas and constellation size for fixed SNRs [2], and it still requires a large amount of computations compared to MMSE- and ZF-based algorithms, especially for high numbers of antennas and large constellation sizes.
