A sliding Goertzel algorithm for adaptive passive neutralizers

Howard, Carl Q.

doi:10.1016/j.jsv.2012.01.007

Cited by 7 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mathematical proof of the equality presented in (7) is given in the Appendix. Another advantage of this structure over SDFT and mSDFT is the positive effect of the control feedback system on the overall stability which can compensate for the quantization errors.…”

Section: Theoretical Background Of Sdft and Osdftmentioning

confidence: 99%

See 1 more Smart Citation

FPGA Realization of the Observer-Based Sliding Discrete Fourier Transform

2022

View full text Add to dashboard Cite

Discrete Fourier transform (DFT) is a widely used method of signal analysis in digital signal processing. The DFT converts a signal from time domain to frequency domain for further processing. For fixed-size sliding window applications of the DFT, the observer-based sliding DFT (oSDFT) algorithm has been shown to be stable, accurate, and theoretically faster, than the well-known block-oriented fast Fourier transforms (FFT). However, no hardware implementation of the oSDFT has been proposed yet. In this paper, a hardware optimized implementation of two variants of the algorithm for FPGA is presented. Such implementation is compared with the Xilinx FFT Intellectual Property in terms of processing speed and hardware requirements. The structure is implemented in Verilog HDL using Vivado IDE, with the aim of maximizing the processing speed and minimizing the required hardware resources. The analysis of the FPGA-based oSDFT and FFT circuits in a sample-by-sample processing scenario, reveals, that the latency and energy usage of the oSDFT are smaller relative to the FFT. The latency and energy usage per sample processed of the implemented structures are up to 9 and 10 times lower than those of FFT respectively. The required resources for these methods are also presented and analyzed.

show abstract

Section: Theoretical Background Of Sdft and Osdftmentioning

confidence: 99%

“…Furthermore, a method for decoding data transmission using SDFT was presented in [6]. In mechanical systems, the SDFT can be efficiently applied for tuning vibration neutralizers [7].…”

Section: Introductionmentioning

confidence: 99%