Sentence examples for processing for implementation from inspiring English sources
The paper entitled "Very low memory wavelet compression architecture using strip-based processing for implementation in wireless sensor networks" by L. W. Chew et al. presents a hardware architecture for strip-based image compression using the SPIHT algorithm.
The modern digital computer has components that serve to copy and store programs inside the machine, and to supply instructions to the computer's processing units for implementation in the appropriate order.
We conclude with a discussion of the processing challenges for implementation of these devices, which would require a combination of existing lithography technologies and promising new approaches such as nano-imprint lithography and block-copolymer self-assembly.
Different filters are employed to handle those measured data signals processing for sensors fusion implementation.
Results from a fast, graphical processing unit implementation for a three-dimensional model are shown.
Several technologies have been developed, which could be selected for implementation of stream processing functionalities.
Based on the comparison of total annualised costs it appears that a multi-partition wall configuration that maximizes energy efficiency is a more attractive option for implementation in aromatics processing plants than more practical single partition wall configuration.
Our studies and performance results show that, when taking into account of the trade-off between complexity and performance, the MMSE-SIC supported by data exchange among BSs may constitute a promising multicell processing (MCP) scheme that is beneficial for implementation in practical systems.
This model is intended for implementation on the graphics processing unit (GPU) platform.
DFM has the ability to update field-scale models in real time using PC or workstation systems and is ideally suited for parallel processing implementation.
Recognising the capability, Wiewiórka et al. [ 21] developed SPARKSEQ for high-throughput sequence data analysis and the Big Data Genomics (BDG) group recently demonstrated the strength of SPARK in a genomic clustering application using ADAM, a set of formats and APIs as well as processing stage implementations for genomic data [ 22].
