会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 42. 发明申请
    • Method For Order Selection In Passive Transmission Line Macromodels Based On The Lie Criteria
    • 基于李标准的被动传输线宏模型中的订单选择方法
    • US20080221852A1
    • 2008-09-11
    • US12125483
    • 2008-05-22
    • Ibrahim M. ElfadelHao Ming Huang
    • Ibrahim M. ElfadelHao Ming Huang
    • G06F17/50
    • G06F17/5036
    • A passive macromodel for lossy, dispersive multiconductor transmission lines uses a multiplicative approximation of the matrix exponential known as the Lie product. The circuit implementation of the macromodel is a cascade of elementary cells, each cell being the combination of a pure delay element and a lumped circuit representing the transmission line losses. Compared with passive rational macromodeling, the Lie product macromodel is capable of efficiently simulating long, low-loss multiconductor transmission lines while preserving passivity. This result is combined with transmission line theory to derive a time-domain error criterion for the Lie product macromodel. This criterion is used to determine the minimum number of cells needed in the macromodel to assure that the magnitude of the time-domain error is less than a given engineering tolerance.
    • 用于有损耗色散多导体传输线的被动宏模型使用被称为Lie乘积的矩阵指数的乘法逼近。 宏模型的电路实现是基本单元的级联,每个单元是表示传输线损耗的纯延迟元件和集总电路的组合。 与被动理性宏观模型相比,Lie产品宏模型能够有效地模拟长,低损耗的多导体传输线,同时保持被动性。 该结果与传输线理论相结合,以得出Lie产品宏模型的时域误差准则。 该标准用于确定宏模型中所需的最小单元数,以确保时域误差的大小小于给定的工程公差。
    • 49. 发明授权
    • Increased capacity heterogeneous storage elements
    • 增加容量的异构存储元件
    • US08553474B2
    • 2013-10-08
    • US13557294
    • 2012-07-25
    • Ibrahim M. ElfadelMichele FranceschiniAshish JagmohanLuis A. Lastras-MontanoMayank Sharma
    • Ibrahim M. ElfadelMichele FranceschiniAshish JagmohanLuis A. Lastras-MontanoMayank Sharma
    • G11C7/00
    • G11C29/08G11C11/5678G11C13/0004G11C13/0069G11C2013/0076G11C2211/5641
    • Providing increased capacity in heterogeneous storage elements including a method for storing data in a heterogeneous memory that includes receiving a write message and a write address corresponding to a block of memory cells where at least two of the memory cells support different data levels, determining physical characteristics of the memory cells, and identifying virtual memories associated with the block of memory cells in response to the physical characteristics. The following is performed for each of the virtual memories: generating a constraint vector that describes the virtual cells in the virtual memory; and calculating a virtual write vector in response to the constraint vector and the write data, the calculating including writing the write data, bit by bit, in order, into the virtual memory, skipping locations known to be stuck to a particular value as indicated by the constraint vector. The virtual write vectors are combined into a write word and the write word is output to the block of memory cells.
    • 提供异构存储元件中的增加的容量,包括用于在异构存储器中存储数据的方法,该方法包括接收对应于其中至少两个存储器单元支持不同数据电平的存储器单元块的写入消息和写入地址,确定物理特性 并且响应于物理特性识别与存储器单元块相关联的虚拟存储器。 对每个虚拟存储器执行以下操作:生成描述虚拟存储器中的虚拟单元的约束向量; 以及响应于所述约束向量和所述写入数据计算虚拟写入向量,所述计算包括按顺序将所述写入数据逐位写入到所述虚拟存储器中,跳过已知被粘附到特定值的位置,如 约束向量。 虚拟写入向量被组合成写入字,并将写入字输出到存储器单元块。