| Presentation | 1995/12/15 Linear Approach to the Least-Squares M-D Polynomial Fitting Tian-Bo Deng, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is well known that the least-squares one-dimensional (1-D) polynomial fitting problem is a linear one. However, in the multidimensional (M-D) case, the problem is often treated as a nonlinear one. This paper shows that the least-squares M-D polynomial fitting problem is also a linear problem, and proposes a linear method for solving it. Two fitting examples in the 2-D case are given to illustrate the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | multidimensional data / multidimensional polynomial / least-squares fitting / digital filter |
| Paper # | DSP95-130,SST95-104 |
| Date of Issue |
| Conference Information | |
| Committee | DSP |
|---|---|
| Conference Date | 1995/12/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Digital Signal Processing (DSP) |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Linear Approach to the Least-Squares M-D Polynomial Fitting |
| Sub Title (in English) | |
| Keyword(1) | multidimensional data |
| Keyword(2) | multidimensional polynomial |
| Keyword(3) | least-squares fitting |
| Keyword(4) | digital filter |
| 1st Author's Name | Tian-Bo Deng |
| 1st Author's Affiliation | Department of Information Sciences Faculty of Science, Toho University() |
| Date | 1995/12/15 |
| Paper # | DSP95-130,SST95-104 |
| Volume (vol) | vol.95 |
| Number (no) | 417 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |