In the fields of modern signal processing such as image processing, data transmission, and radar reception, there are high requirements for the stability, real-time and flexibility of signal processing. FIR digital filters meet the high-performance requirements of filters in the field of modern signal processing due to their linear phase characteristics, and have become one of the most widely used digital filters. High-density FPGAs take into account both real-time and flexibility, providing powerful hardware support for the implementation of FIR digital filters. The most commonly used FPGA implementation methods of FIR digital filters today are DA-based implementation methods and CSD-based implementation methods. This paper conducts an in-depth discussion of these two implementation methods and makes certain improvements. The main work and innovations of this paper are as follows: 1. The hardware implementation method of FIR digital filters is theoretically studied, with an emphasis on the in-depth discussion of the implementation method of parallel FIR digital filters and an improved implementation method is proposed: an improved implementation method based on CSD-DA. This implementation method saves chip area in certain cases compared to the simple CSD-based implementation method and the DA-based implementation method. 2. After circuit modeling and mathematical derivation, the \"CSD-DA optimal comparison method\" is proposed. This comparison method can more accurately select the best implementation method from the implementation method based on CSD coding, the implementation method based on DA, and the improved implementation method based on CSD-DA. 3. An audio FIR digital low-pass filter that can filter out high-frequency noise in audio signals is implemented using the Cyclone EPEC6Q240C8 chip and the audio codec chip TLV320AIC23B.
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