These instances, whenmapped to an N-dimensional space, represent a core set that can be
used to construct an approximation to theminimumenclosing ball. Solving the SVMlearning
problem on these core sets can produce a good approximation solution in very fast speed.
For example, the core-vector machine [81] thus produced can learn an SVM for millions of
data in seconds.
1.an fpga implementation of the image space reconstruction algorithm for hyperspectral imaging analysis\r\n2. fpga implemention of a median filter\r\n3. fpga implementation of digital filters\r\n4.hardware acceleration of edge detection algorithm on fpgas
This paper presents a space vector modulation(SVM)-based switching strategy for a three-level neutral point clamped (NPC) converter that is adapted as a STATCOM.
