In an FFT representation of converter data, the average noise floor (D) is a root-mean-square combination of all the bins within the FFT plot but excludes the input signal and signal harmonics. You ...

Perform FFT Analysis FFT Computation: Use an FFT algorithm to analyze the frequency spectrum of the captured ADC data. I have used Python with NumPy to perform the FFT.

Figure 1 An FFT uses sampled data from an ADC. In this FFT plot, there are4096 samples that the converter acquires at a data rate of 200k samples/sec. The SNR (Point C) in this plot is a calculated ...

Two Arduino sketches—an ADC that outputs parallel data via digital pins for use with an FPGA FFT implementation, and parallel digital plotter for the output of an FPGA-implemented FFT.

This FFT plot shows the test results of a SAR-ADC using coherent sampling with a data record (M) of 32,768 samples. The sampling frequency is locked to fS = 705.882 kHz, and the desired test input ...

Specifications for analog-to-digital converters (ADCs) often include a fast Fourier transform (FFT) plot, such as the one shown in the figure, for a 12-bit ADC with a single-frequency input signal.

This work presents a new characterization method for Σ∑ ADCs using noise transfer function pole zero tracking. In this scheme, the ADC poles and zeros are extracted from the measured FFT-plot.

Common FFT follies Figures 12, 13 and 14 emphasize some invalid FFT data captures that could lead to an inaccurate understanding of ADC performance. Our aim is to aid those designers new to ADC ...

Abstract: A fast Fourier transform-based (FFT-based) foreground digital calibration method for multistage pipeline analog-to-digital converter (ADC) is proposed in this paper. The calibration method ...