name: IDFT
full_form: Inverse Discrete Fourier Transformation
context: For EVM create two sets of Zâ(f,t)., according to the timing â âW/2 and +W/2â using the equalizer coefficients from E.3.3. Perform the iDFTs on Zâ(f,t) in the case of DFT-s-OFDM waveform. The IDFT-decoding preserves the meaning of t but transforms the variable f (representing the allocated sub carriers) into another variable g, covering the same count and representing the demodulated symbols. The samples in the post IDFT domain are called iZâ(g, t). The equivalent ideal samples are called iI(g,t). Those samples of Zâ(f,t), carrying the reference symbols (=symbol 2,7,11) are not iDFT processed. The EVM is the difference between the ideal waveform and the measured and equalized waveform for the allocated RB(s) , where t covers the count of demodulated symbols with the considered modulation scheme being active within the measurement period, (i.e. symbol 0,1,3,4,5,6,8,9,10,12,13 in each slot, |T|=11) g covers the count of demodulated symbols with the considered modulation scheme being
description: Inverse Discrete Fourier Transformation (IDFT) is a mathematical operation used to transform frequency-domain signals into time-domain signals. In the context of 3GPP TS 38.521, IDFT is applied to demodulate symbols in the post-DFT processing stage for DFT-s-OFDM waveforms.
explanation: The description explicitly states that IDFT is a mathematical operation used in signal processing (demodulation) within a telecommunications standard (3GPP TS 38.521). This clearly places it under the category of Technology.
section_title: E.4.1EVM
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