1-D and 2-D algorithms for orthogonal transformations
β Scribed by Michael J. Corinthios; Youssef Geadah
- Publisher
- Elsevier Science
- Year
- 1985
- Tongue
- English
- Weight
- 842 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0378-4754
No coin nor oath required. For personal study only.
β¦ Synopsis
two-dlnensional signals are presented. These JlqOrithmS are well suited for the lnplementation of parallel high speed VLSI signal proce55ors. In particular they are characterized by their constant geometrv accessin a5 we!1 a5 storlnq of data. Such oropertv leads to a unlformltv of slqnal paths with a potentlal toward Improved VLSI Implementation and lead to highly parallel and multlprocesslnq architectures. A Universal Processing Element is subsequently introduced. serving as a basic cell of computation tnat would constitute a bullding block for parallel and cascaded cellular arrays.
π SIMILAR VOLUMES
Automatic alignment problem was coupled with the numerical coordinates on a machine, a vision system and wafer device. This paper proposes a method for constructing a general model for automatic alignment and formulating equations from three coordinates. The algorithm was derived under the assumptio
We present a deterministic algorithm for solving two-dimensional convex pro-Ε½ . grams with a linear objective function. The algorithm requires O k log k primitive operations for k constraints; if a feasible point is given, the bound reduces to Ε½ . O k log krlog log k . As a consequence, we can decid
A fundamental open problem in computer vision-determining pose and correspondence between two sets of points in space-is solved with a novel, fast, robust and easily implementable algorithm. The technique works on noisy 2D or 3D point sets that may be of unequal sizes and may differ by non-rigid tra