ID 原文 译文
16615 针对经典捕获算法受频偏影响的局限性，该文提出一种基于信号多样本点串行快速傅里叶变换的信号捕获算法(MS-FFT)， To overcome the limitation of the classic acquisition algorithm affected by frequency offset, a signal acquisition algorithm based on Multi-sample Serial Fast Fourier Transform (MS-FFT) is proposed.
16616 所提算法通过串行执行多个样本点的FFT，采用非相干合并后的峰值搜索得到捕获结果，在不增加复杂度的条件下，避免了频偏对捕获性能的影响。 The proposed algorithm serially executes the FFT of multiple samples and runs the peak searchingafter non-coherent combining to obtain the acquire result. Without increasing the complexity, the influence offrequency offset on the acquisition performance is avoided.
16617 通过对峰值信噪比(PSNR)理论公式的推导，证明了MS-FFT的频偏适应范围取决于采样率，随着数模转换器件采样能力的不断提升，具有比经典算法更大的频偏适应范围。 By deriving the theoretical formula of the PeakSignal-to-Noise Ratio (PSNR), it is proved that the frequency offset adaptation range of MS-FFT depends onthe sampling rate and can be larger than the classical algorithm with the continuous improvement of thesampling capability of digital-analog conversion devices.
16618 最后，通过仿真验证了上述理论推导的正确性，证明了所提算法更加适合超高动态环境的应用场景。 Finally, the correctness of the above theoreticalderivation is verified by simulation, and it is proved that the proposed algorithm is more suitable for theapplication scenarios of ultra-high dynamic environment.
16619 随着数据密集型应用的日益增多，内存墙问题已成为制约计算效率的瓶颈。 With the growing abundance of data-intensive applications, memory wall has become a bottleneck to computing efficiency.
16620 该文提出一种新型的浮点数(FP)运算结构，该结构嵌入了基于铁电场效应晶体管(FeFET)的三元内容寻址存储器(TCAM)以实现高效的计算。 A novel Floating Point (FP) computing infrastructure that embeds Ferroelectric FieldEffect Transistor (FeFET) based Ternary Content Addressable Memories (TCAMs) for energy efficient computing is proposed.
16621 通过特定规则设计的超高密度TCAM结构，可以用能效更高的TCAM搜索操作代替部分传统浮点运算，从而节约整体能耗。 With an ultra-dense TCAM implementation following the designed guidelines, theinfrastructure can replace unnecessary Float Point Unit (FPU) executions with more efficient TCAM searching,thereby saving the overall energy consumption.
16622 仿真实验证明，该文所提结构和运算执行流程，与常规浮点运算单元(FPU)相比，可以降低多达33%的能耗。 Thanks to the proposed execution flow, the infrastructure canachieve up to 33% energy saving compared to regular FPUs.
16623 跨技术通信迅猛发展推动着单一网络向异构无线网络的转变，该转变极大地提高异构无线设备(如Wi-Fi和ZigBee)的高效共存和协作，但也给异构无线网络中的数据分发问题带来了挑战。 The rapid development of cross technology communication promotes the transformation from singlenetwork to heterogeneous wireless network, which greatly improves the efficient coexistence and collaboration ofheterogeneous wireless devices, but also brings challenges to data distribution in heterogeneous wirelessnetworks.
16624 由于异构网络节点通信范围差异和低占空比节点周期性睡眠的特点，传统数据分发方法不能高效地利用信道资源而导致较低的分发效率。 Traditional data distribution schemes are limited by the communication range of a single node andconflict between different network devices, resulting in continuous decline in the efficiency of data distribution.At the same time, they are not suitable for the unique network model of heterogeneous networks.