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    • 1. 发明授权
    • Heterogeneous reconfigurable agent compute engine (HRACE)
    • 异构可重配置代理计算引擎(HRACE)
    • US08589935B2
    • 2013-11-19
    • US11745558
    • 2007-05-08
    • Deepak PrasannaGerald L. Fudge
    • Deepak PrasannaGerald L. Fudge
    • G06F9/46G06F9/52
    • G06F9/52G06F9/5072Y02D10/22Y02D10/36
    • A computing system (10) includes a plurality of hardware computing resources (12-36) controlled at least in part by a plurality of autonomous computing agents (40,42,44). Each autonomous computing agent (40,42,44) includes or has access to operating information including processing information (46), resource information (48), optimization information (50), and communication information (52). The computing agents (40,42,44) collaborate to optimize performance of the system (10) and to assign computing tasks to the resources (12-36) according to a predetermined strategy. The predetermined strategy may seek to optimize speed, power, or communication efficiency of the system 10. Each agent (40,42,44) may optimize performance of the system (10) by assigning tasks to best-fit resources or by reconfiguring one or more resources. The agents (40,42,44) may collaborate to optimize performance of the system (10) by sharing resource and task information and assigning tasks to best-fit resources based on the shared information, reconfiguring one or more resources based on the shared information, or both.
    • 计算系统(10)包括至少部分由多个自主计算代理(40,42,44)控制的多个硬件计算资源(12-36)。 每个自主计算代理(40,42,44)包括或可以访问包括处理信息(46),资源信息(48),优化信息(50)和通信信息(52)的操作信息。 计算代理(40,42,44)协作以优化系统(10)的性能并根据预定策略将计算任务分配给资源(12-36)。 预定策略可以寻求优化系统10的速度,功率或通信效率。每个代理(40,42,44)可以通过将任务分配给最适合资源来优化系统(10)的性能,或者通过重新配置一个或 更多资源。 代理(40,42,44)可以通过共享资源和任务信息并基于共享信息将任务分配给最佳拟合资源来协作来优化系统(10)的性能,基于共享信息重新配置一个或多个资源 , 或两者。
    • 2. 发明授权
    • System and method for improved spur reduction in direct RF receiver architectures
    • 直接RF接收机架构改进支线减少的系统和方法
    • US08509354B2
    • 2013-08-13
    • US12592777
    • 2009-12-02
    • Gerald L. FudgeRoss E. BlandSujit RavindranMark A. Chivers
    • Gerald L. FudgeRoss E. BlandSujit RavindranMark A. Chivers
    • H04L27/00
    • H04L27/148H04L27/1566
    • Improved spur reduction architectures that improve linearity in direct radio frequency (RF) receiver architectures. Non-uniform sampling in the form of sampling clock phase (or frequency) modulation is used to induce phase (or frequency) modulation on signals that are being received from a given Nyquist zone. At the output of the ADC (analog-to-digital converter), the signals are de-modulated to remove the induced modulation based on the Nyquist zone that is being received. The de-modulation process results in non-desired spurious artifacts (interfering leakage signals and ADC spurs) being spread in the frequency domain. Strong spurious artifacts may be removed after measuring the induced modulation and de-modulating. For the case of weak spurious artifacts, the de-modulation for the desired Nyquist zone spread these signals in the frequency domain. Induced modulation on signals may also provide a dithering effect on the ADC.
    • 改进的直接射频(RF)接收机架构改善线性度的减少架构。 以采样时钟相位(或频率)调制形式的非均匀采样用于对从给定奈奎斯特区域接收的信号进行相位(或频率)调制。 在ADC(模拟 - 数字转换器)的输出端,信号被去调制,以消除基于接收到的奈奎斯特区域的感应调制。 去调制过程导致在频域中扩展的非期望的伪伪影(干扰泄漏信号和ADC刺激)。 在测量诱导的调制和解调后,可能会去除强杂散伪像。 对于弱伪伪影的情况,期望的奈奎斯特地带的去调制在频域中扩展了这些信号。 对信号的诱导调制也可能对ADC产生抖动效应。
    • 4. 发明授权
    • Method and computer program for group delay and magnitude equalization with relaxed phase slope constraint
    • 用于具有松弛相位斜率约束的组延迟和幅度均衡的方法和计算机程序
    • US07831648B2
    • 2010-11-09
    • US11393107
    • 2006-03-30
    • Gerald L. Fudge
    • Gerald L. Fudge
    • G06F17/10
    • H04L25/03038H04L2025/03477
    • The present invention is a method and computer program for equalizing group delay and magnitude of a system for which a system response is known. The method and computer program are implemented via a finite impulse response (“FIR”) filter for the system, and the method broadly comprises the steps of: evaluating a desired response for the system as a function of an amplitude of the system and a phase of the system; separating the phase of the system into a linear component and a non-linear component; performing a first optimization by minimizing a weighted error between a desired response for the system and a cascaded response for the system as a function of an equalizing filter and a phase slope so as to obtain at least one local smallest error E(Ω) as a function of phase slope; and once the local smallest error E(Ω) is known, performing a second optimization to locate any existing global smallest error, wherein the global smallest error is within a set distance from the local smallest error.
    • 本发明是用于均衡系统响应已知的系统的组延迟和幅度的方法和计算机程序。 该方法和计算机程序通过用于系统的有限脉冲响应(“FIR”)滤波器来实现,并且该方法广泛地包括以下步骤:根据系统的幅度和相位来评估系统的期望响应 的系统; 将系统的相位分离成线性分量和非线性分量; 通过最小化系统的期望响应和作为均衡滤波器和相位斜率的函数的系统的级联响应之间的加权误差来执行第一优化,以便获得至少一个局部最小误差E(&OHgr)作为 相位函数; 并且一旦已知本地最小误差E(&OHgr;),则执行第二优化以定位任何现有的全局最小误差,其中全局最小误差在距离局部最小误差的设定距离内。
    • 10. 发明申请
    • HETEROGENEOUS RECONFIGURABLE AGENT COMPUTE ENGINE (HRACE)
    • 异质可重构发动机(HRACE)
    • US20080282252A1
    • 2008-11-13
    • US11745558
    • 2007-05-08
    • DEEPAK PRASANNAGERALD L. FUDGE
    • DEEPAK PRASANNAGERALD L. FUDGE
    • G06F9/50
    • G06F9/52G06F9/5072Y02D10/22Y02D10/36
    • A computing system (10) includes a plurality of hardware computing resources (12-36) controlled at least in part by a plurality of autonomous computing agents (40,42,44). Each autonomous computing agent (40,42,44) includes or has access to operating information including processing information (46), resource information (48), optimization information (50), and communication information (52). The computing agents (40,42,44) collaborate to optimize performance of the system (10) and to assign computing tasks to the resources (12-36) according to a predetermined strategy. The predetermined strategy may seek to optimize speed, power, or communication efficiency of the system 10. Each agent (40,42,44) may optimize performance of the system (10) by assigning tasks to best-fit resources or by reconfiguring one or more resources. The agents (40,42,44) may collaborate to optimize performance of the system (10) by sharing resource and task information and assigning tasks to best-fit resources based on the shared information, reconfiguring one or more resources based on the shared information, or both.
    • 计算系统(10)包括至少部分由多个自主计算代理(40,42,44)控制的多个硬件计算资源(12-36)。 每个自主计算代理(40,42,44)包括或可以访问包括处理信息(46),资源信息(48),优化信息(50)和通信信息(52)的操作信息。 计算代理(40,42,44)协作以优化系统的性能(10)并根据预定策略将计算任务分配给资源(12-36)。 该预定策略可以寻求优化系统10的速度,功率或通信效率。 每个代理(40,42,44)可以通过将任务分配给最适合资源或通过重新配置一个或多个资源来优化系统(10)的性能。 代理(40,42,44)可以通过共享资源和任务信息并基于共享信息将任务分配给最佳拟合资源来协作来优化系统(10)的性能,基于共享信息重新配置一个或多个资源 , 或两者。