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FPGAs Flex Their DSP Muscles: Pros at Signal Processing

机译:FPGA弯曲他们的DSP肌肉:在信号处理中的专业人士

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Today's FPGAs provide the kind of system-oriented digital signal processing (DSP) requirements in demand across a variety of applications—including broadcast video, financial processing systems, machine leaning, software-defined radio and many others. Meanwhile, it is already a given these days that FPGAs have become complete systems-on-chips (SoCs). While the trend toward FPGAs with general-purpose CPU cores embedded on them is nothing new, the latest crop FPGA architectures have moved toward supporting artificial intelligence (AI) and machine learning types of processing. Even within the past six months, FPGA vendors have announced new solutions that improve upon these processing levels. Aside from CPU and DSP processing, another big advantage of FPGAs lies in their ample, programmable, high-speed I/O, which is why they are often found close to the analog-to-digital converters (ADC) in radio frequency (RF) and radar applications.
机译:今天的FPGA提供了各种应用中需求的面向系统的数字信号处理(DSP)要求 - 包括广播视频,金融加工系统,机器倾斜,软件定义的无线电以及许多其他应用程序。与此同时,这已经是这几天已经是FPGA已经成为芯片(SoC)的完整系统。虽然嵌入在其上的通用CPU核心的FPGA趋势是没有新的,但最新的作物FPGA架构已经朝着支持人工智能(AI)和机器学习类型的处理。即使在过去六个月内,FPGA供应商也宣布了新的解决方案,以提高这些处理水平。除CPU和DSP处理外,FPGA的另一个大优势在于它们的充分,可编程,高速I / O,这就是为什么它们通常在射频中靠近模数转换器(ADC)(RF )和雷达应用。

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  • 来源
    《Circuit cellar 》 |2019年第348期| 44-47| 共4页
  • 作者

    Jeff Child;

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