This paper presents a distributed arithmetic(DA)architecture that can efficiently implement finite impulse response(FIR)filters for biomedical signal processor applications.FIR filter design is more efficient when it ...This paper presents a distributed arithmetic(DA)architecture that can efficiently implement finite impulse response(FIR)filters for biomedical signal processor applications.FIR filter design is more efficient when it uses a look-up table(LUT)-based technique rather than a serial one.The design’s performance and efficiency can be improved by using segmented memory banks as well as memory lookup for multiply operation.Verilog HDL is used to model the proposed design,and Synopsys Design Compiler tool is used for synthesis.The FIR filter architecture utilizing DA results in a 24.82%reduction in total power compared with the serial FIR structure.展开更多
To minimize the outage probability of the cell （OPC） in downlink distributed antenna systems with selection transmission, a complex-encoding genetic algorithm （GA） is proposed to find the optimal locations of the ...To minimize the outage probability of the cell （OPC） in downlink distributed antenna systems with selection transmission, a complex-encoding genetic algorithm （GA） is proposed to find the optimal locations of the antenna elements （AEs）. First, the outage probability at a fixed location in the cell is investigated. Next, an analytical expression of the OPC is derived, which is a function of the AE locations. Then the OPC is used as the objective function of the antenna placement optimization problem, and the complex- encoding GA is used to find the optimal AE locations in the cell. Numerical results show that the optimal AE locations are symmetric about the cell center, and the outage probability contours are also given with the optimal antenna placement. The algorithm has a good convergence and can also be used to determine the number of AEs which should be installed in order to satisfy the certain OPC value. Lastly, verification of the OPC＇s analytical expression is carried out by Monte Carlo simulations. The OPC with optimal AE locations is about 10% lower than the values with completely random located AEs.展开更多
分布式拒绝服务(Distribute Denial of Service,DDoS)攻击是常见的网络攻击手段之一,对于影响力日益增长的区块链网络构成了较大的威胁。包含堆叠法(Stacking)在内的集成学习模型在DDoS攻击检测方面有很大前景,而Stacking在面对不同类...分布式拒绝服务(Distribute Denial of Service,DDoS)攻击是常见的网络攻击手段之一,对于影响力日益增长的区块链网络构成了较大的威胁。包含堆叠法(Stacking)在内的集成学习模型在DDoS攻击检测方面有很大前景,而Stacking在面对不同类型数据集时需要调整学习器组合。该文使用Stacking方法检测区块链DDoS攻击,利用贝叶斯优化确定各学习器超参数,同时还使用算术优化算法(Arithmetic Optimization Algorithm,AOA)选择基学习器的组合,来解决需要手动调节学习器的问题。在区块链网络攻击流量数据集和比特币交易所交易数据上分别进行了实验,通过准确率、攻击数据漏报率和宏平均精准率三种评价指标进行对比,该方法在这两种不同类型数据集上的性能均优于其他三种常见的集成学习算法。还通过改变实验数据集大小探究出攻击检测性能会随着数据集的增大而上升。通过实验可以证明该方法可以有效检测不同类型数据集上的区块链DDoS攻击。展开更多
Aim To present an ASIC design of DA based 2 D IDCT. Methods\ In the design of 1 D IDCT is utilized a Chen based fast IDCT algorithm, and multiplier accumulators based on distributed algorithm contributes in reduc...Aim To present an ASIC design of DA based 2 D IDCT. Methods\ In the design of 1 D IDCT is utilized a Chen based fast IDCT algorithm, and multiplier accumulators based on distributed algorithm contributes in reducing the hardware amount and in enhancing the speed performance. Results and Conclusion\ VHDL simulation, synthesis and layout design of system are implemented. This 2 D IDCT ASIC design owns best timing performance when compared with other better designs internationally. Results of design prove to be excellent.展开更多
文摘This paper presents a distributed arithmetic(DA)architecture that can efficiently implement finite impulse response(FIR)filters for biomedical signal processor applications.FIR filter design is more efficient when it uses a look-up table(LUT)-based technique rather than a serial one.The design’s performance and efficiency can be improved by using segmented memory banks as well as memory lookup for multiply operation.Verilog HDL is used to model the proposed design,and Synopsys Design Compiler tool is used for synthesis.The FIR filter architecture utilizing DA results in a 24.82%reduction in total power compared with the serial FIR structure.
基金supported by the National Science and Technology Major Project: the Next Generation Wireless Mobile Communication Network (2009ZX03004-001)
文摘To minimize the outage probability of the cell （OPC） in downlink distributed antenna systems with selection transmission, a complex-encoding genetic algorithm （GA） is proposed to find the optimal locations of the antenna elements （AEs）. First, the outage probability at a fixed location in the cell is investigated. Next, an analytical expression of the OPC is derived, which is a function of the AE locations. Then the OPC is used as the objective function of the antenna placement optimization problem, and the complex- encoding GA is used to find the optimal AE locations in the cell. Numerical results show that the optimal AE locations are symmetric about the cell center, and the outage probability contours are also given with the optimal antenna placement. The algorithm has a good convergence and can also be used to determine the number of AEs which should be installed in order to satisfy the certain OPC value. Lastly, verification of the OPC＇s analytical expression is carried out by Monte Carlo simulations. The OPC with optimal AE locations is about 10% lower than the values with completely random located AEs.
文摘Aim To present an ASIC design of DA based 2 D IDCT. Methods\ In the design of 1 D IDCT is utilized a Chen based fast IDCT algorithm, and multiplier accumulators based on distributed algorithm contributes in reducing the hardware amount and in enhancing the speed performance. Results and Conclusion\ VHDL simulation, synthesis and layout design of system are implemented. This 2 D IDCT ASIC design owns best timing performance when compared with other better designs internationally. Results of design prove to be excellent.
