The linear buffer implementation takes advantage of MATLAB's convenient matrix syntax and is easy to read and understand. However, it introduces a full copy of the state buffer for every sample of the input. Circular Buffer Implementation To implement the FIR filter ...
In addition to the reduced sample complexity and computational time, the proposed ML algorithm works for any distribution over x, while the best previously known algorithm36 works only for the uniform distribution over [−1, 1]m. Furthermore, when we consider the scaling with the prediction...
Finding an optimal setSrequires considering all2|Ω|combinations, whereΩis the entire feature set. Instead, the MRMR algorithm ranks features through the forward addition scheme, which requiresO(|Ω|·|S|)computations, by using the mutual information quotient (MIQ) value. ...
In addition, recently Dehghan and Hajarian proposed two algorithms for the Hermitian reflexive and skew-Hermitian solutions of Sylvester matrix equations in [12]. Future research can focus on generalizing those algorithms to solve the systems of matrix equations of this paper. Also, the convergence ...
The Euclidean distances of each user to the BSs are calculated in the distance matrix. In multipath scenarios, the distance matrix estimates the signal path loss in addition to the Rayleigh fading and log-normal shadowing. The RSRP and SINR values are then computed over each carrier signal. Dur...
EOSMA has many parameters and depending on the problem to be solved, parameter adaptive selection methods can be considered for the algorithm, such as parameter adaptive mechanism based on success history88 or parameter adaptive mechanism based on reinforcement learning89. In addition, EOSMA can be...
The matrix completion problem is to recover a low-rank matrix from a subset of its entries. The main solution strategy for this problem has been based on nuclear-norm minimization which requires computing singular value decompositions—a task that is increasingly costly as matrix sizes and ranks ...
hidden matrix 489.Robot-Room-Cleaner (H) 1778.Shortest-Path-in-a-Hidden-Grid (H-) 1810.Minimum-Path-Cost-in-a-Hidden-Grid (M+) BFS 127.Word-Ladder (M+) 126.Word-Ladder-II (M+) 130.Surrounded-Regions (H-) 200.Number-of-Islands (H-) 490.The-Maze (M) 529.Minesweeper (M+) ...
and a format selection method is designed to select the best format and algorithm for each sparse tile to improve performance from the perspective of the local sparse structure of the matrix. In addition, nonzeros in very sparse tiles are extracted into a separate matrix for better performance....
Fig. 6. A High-level flow for Easy Association and Hard Association. At first, a basic affinity matrix based on a basic association metric which then divides into easy and hard associations according to its basic score. The Hungarian algorithm is then applied to get a final association value...