The focus of this paper is on a new concept framework and an architecture of an intelligent decision support syetem generator (DSSG). The framework results from a synthesis of two existing frameworks: Spragae and Bonc...The focus of this paper is on a new concept framework and an architecture of an intelligent decision support syetem generator (DSSG). The framework results from a synthesis of two existing frameworks: Spragae and Bonczek, while the architecture is a rooted partial order network. From our experience which comes out of the project of DSSG, we consider that they are keys of further research and development of DSS.展开更多
The adaptive sign least mean square(SLMS)filter may change dynamically depending on the filter output.Noise cancellation is one of the most common adaptive filter applications.In real-time applications such as medical...The adaptive sign least mean square(SLMS)filter may change dynamically depending on the filter output.Noise cancellation is one of the most common adaptive filter applications.In real-time applications such as medical computing,the speed of the process producing hardware is critical,hence,this study proposes the hardware implementation of the SLMS adaptive filter utilizing the Xilinx System Generator.The suggested design seeks to improve performance while decreasing convergence rate and route latency.In this paper,(i)we proposed a modified architecture for an 8-tap SLMS adaptive filter is built,and(ii)multiplier-less structure for a Modified DLMS Filter is introduced and compare the same.The ECG signal was evaluated using the intended architecture.The algorithm’s functionality is tested in MATLAB using varied ECG data from the MIT-BIH database as input.Using Xilinx system generator,the LMS and SLMS are developed,simulated,synthesized,and implemented on a Virtex-5 FPGA.When comparing Systolic Sign LMS Filter to LMS Filter,the result reveals a 5%drop in total real-time router completion and a drop in the number of adders and subtractors,as well as a 48.84%reduction in maximum combinational path latency.展开更多
文摘The focus of this paper is on a new concept framework and an architecture of an intelligent decision support syetem generator (DSSG). The framework results from a synthesis of two existing frameworks: Spragae and Bonczek, while the architecture is a rooted partial order network. From our experience which comes out of the project of DSSG, we consider that they are keys of further research and development of DSS.
文摘The adaptive sign least mean square(SLMS)filter may change dynamically depending on the filter output.Noise cancellation is one of the most common adaptive filter applications.In real-time applications such as medical computing,the speed of the process producing hardware is critical,hence,this study proposes the hardware implementation of the SLMS adaptive filter utilizing the Xilinx System Generator.The suggested design seeks to improve performance while decreasing convergence rate and route latency.In this paper,(i)we proposed a modified architecture for an 8-tap SLMS adaptive filter is built,and(ii)multiplier-less structure for a Modified DLMS Filter is introduced and compare the same.The ECG signal was evaluated using the intended architecture.The algorithm’s functionality is tested in MATLAB using varied ECG data from the MIT-BIH database as input.Using Xilinx system generator,the LMS and SLMS are developed,simulated,synthesized,and implemented on a Virtex-5 FPGA.When comparing Systolic Sign LMS Filter to LMS Filter,the result reveals a 5%drop in total real-time router completion and a drop in the number of adders and subtractors,as well as a 48.84%reduction in maximum combinational path latency.
