Name
Abstract | ||
|---|---|---|
Embedded electronic systems for tactile data processing capture the attention of recent researchers because of its importance in many domains. Machine learning based on tensorial kernel approach has proven its effectiveness in processing tactile information. Computing tensorial kernel corresponds to computing the singular value decomposition. This paper presents an FPGA implementation of singular value decomposition for tensorial kernel computation. The design is implemented for an arbitrary mxn matrix with fixed point arithmetic. The results figure out a tradeoff between the accuracy of computation and the input data resolution. The experimental results demonstrate the efficiency of our design by increasing the accuracy of computation and by providing comparable results in terms of time latency. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE 13TH INTERNATIONAL NEW CIRCUITS AND SYSTEMS CONFERENCE (NEWCAS) | SVD FPGA implementation, One sided Jacobi algorithm, Tensorial kernel, Embedded electronic systems |
Field | DocType | ISSN |
Kernel (linear algebra),Singular value decomposition,Data processing,Fixed-point arithmetic,Computer science,Matrix (mathematics),Matrix decomposition,Electronic engineering,Theoretical computer science,Symmetric matrix,Computational science,Computation | Conference | 2472-467X |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| a b k ibrahim | 1 | 0 | 0.34 |
| M. Valle | 2 | 97 | 19.19 |
| luca noli | 3 | 0 | 0.34 |
| h chible | 4 | 6 | 4.59 |