Sentence examples for processing for implementing from inspiring English sources

This system uses line-based processing for implementing the 2-D DWT architecture.

In the LTE market, baseband architecture using digital signal processing for implementing beamforming can be chosen.

They comprise antennas and analog and digital signal processing resources for implementing radio transmitters and receivers.

This defines a generic processing scheme where, for implementing new type of processing (e.g. integrating a new algorithm), it is sufficient to subclass the ServerResource and attach the specific type of Callable object that implements the new algorithm.

Table 4 Processing times required for implementing the conventional DEDR and the developed POCS-regularized (SW/HW codesign-based) unified DEDR-POCS techniques (RSF and RASF).

In order to put the complex data into three operations in sequence as multiplying the window, performing FFT, and computing module-square, and also meeting the requirements of high-speed digital signal processing, a novel scheme for implementing FFT with digital signal processing (DSP) C6701 is proposed in this paper.

The GridPACS system, developed at Ohio State University similarly provides a distributed data archive and utilizes Grid technology for implementing processing pipelines [ 16].

Additionally, the embedded processing cores feature reconfigurable circuitry for implementing the intense part of the processing, supplementing the various computational needs of the diverse applications for microarray real-time data processing and for a scalable reconfigurable architecture to handle also the future high-density microarrays.

Depending on the image-processing requirements, general-purpose embedded microprocessors alone may be inadequate for implementing image-processing strategies required by retinal prostheses.

OpenCV is a collection of efficient algorithms and data types for implementing image processing and computer vision systems.

In theory, the combination of these properties makes workflows a natural choice for implementing Big Data processing pipelines, common for instance in bioinformatics.