… vectors based on the Euclidean distance calculation, which is … Therefore, a full array is
designed in block II. In the case of … design a digital-to-analog converter (DAC) for the processor. …

… implementation on the graphics processing unit (GPU) platform. The Euclidean plane is
partitioned … Designed for handling large-scale problems in a massively parallel way, the required …

… the design of a neuromorphic event-based neural processing system that can be directly
interfaced to surface EMG (sEMG) sensors for the on-line … calculated as the euclidean distance …

… His current research is mainly focused on algorithms, in particular, VLSI design algorithms,
Steiner tree problems in non-Euclidean metrics and scheduling problems in various settings. …

… using the Euclidean distances brings benefits to the on-line … Euclidean distances, the
Manhattan distance is adopted in the hardware design of the “Distance Processor” in the on-line …

… Euclidean distance (MinD) between two segments of straight lines is a typical problem in
robotics (eg,-for collision avoidance), image processing, CAD systems, VLSI design, … X on line …

… implementation of the floating-point processor (FPP) to develop the radial … The floating-point
processor is designed on a field … The on-line learning process of the RBF chip is compared …

… , eg spectral pre-processing and Principal Component … of data analysis, (2) building a
design space for blend end-point … for calculating the Euclidean distances between successive …

… Division operations are one of the design challenges for on-line clustering. Fig. 1 shows the
… the Euclidean distance [5], the Manhattan distance is employed in the Distance Processor. …

… designed as a stochastic algorithm which works in an on-line way and which was designed
to … From now and for simplicity, we choose the Euclidean distance to compute the winner unit. …