Sample rate conversion (SRC) is ubiquitous and critical function of software defined radio and other signal processing systems (speech coding and synthesis, computer simulation of continuous-time systems, etc..). In this paper, we present a survey on linear phase finite impulse response (FIR) based sampling rate conversion. Many different FIR-based SRC solutions exist, such as classical FIR, polyphase, Farrow, cascaded-integrator-comb, and Newton structures. Each one of these solutions is presented differently in the literature, and SRC reference books introducing the subject are often missing hardware implementation aspects. The main objective of this paper is to provide a simple and comprehensive overview of main FIR-based SRC techniques from theoretical to hardware implementation aspects. The state of the art of FIR-based SRC filters is summed-up through a concise derivation of the different solutions from a common root: linear phase FIR filters. Each SRC solution is presented from both theoretical and practical implementation points of view. The paper provides a succinct tutorial that introduces SRC, and helps identifying and implementing the appropriate FIR-based SRC architecture for any given applications.

采样率转换（SRC）是无处不在的和关键的功能软件定义无线电和其他信号处理系统（语音编码和合成，连续时间系统的计算机模拟中，等..）。在本文中，我们对基于线性相位有限冲激响应（FIR）的采样率转换进行了调查。存在许多不同的基于FIR的SRC解决方案，例如经典FIR，多相，Farrow，级联积分梳和牛顿结构。这些解决方案中的每个解决方案在文献中都有不同的介绍，并且介绍该主题的SRC参考书经常缺少硬件实现方面。本文的主要目的是从理论到硬件实现方面，对基于FIR的SRC主要技术提供一个简单而全面的概述。基于FIR的SRC滤波器的最新技术是通过从一个共同的根源：线性相位FIR滤波器的不同解决方案的简洁推导中总结出来的。每个SRC解决方案都是从理论和实践的角度提出的。