Sep 10, 2021 · Also, oversampling is useful to reduce the burden on the analog front-end. Oversampling makes it easier to extract information. For example, to use a digital peak detector or zero-crossing …

Jan 1, 2019 · When converting a signal from analog to digital, we observe undersampling and oversampling. Does oversampling means that the sampling frequency is greater that the signal's …

Oct 13, 2020 · How much gain in dynamic range and SNR can be expected if we are to oversample a signal with fixed analog input bandwidth. For Example if I have a analog filter at the input which limits …

Apr 30, 2024 · Considering a filtering process after oversampling, how do I decide the length and scaling of the measurements at the output to leverage oversampling? In tools like MATLAB's FIR filter …

Aug 26, 2020 · At this point I effectively have 4X oversampling and my data is output to the FPGA at 1000MSPS IQ samples. The question I have is if I now want to break up this bandwidth in the digital …

Aug 10, 2023 · Oversampling with zero bins and longer FFT is very straightforward; I am not convinced the discontinuity would create an excessive OOBE given the mask is set for an OFDM waveform - to …

May 17, 2024 · The goal of the approach is to speed up RRC filtering with (very) large oversampling ratio. To this end I calculate the prime factors of the oversampling ratio and RRC filter the signal with …

Jun 20, 2023 · Oversampling does not reduce the Signal to Noise ratio (SNR), but specifically can increase the Effective Number of Bits (ENOB) for the sampling process- we can for example get 16 …

Dec 23, 2020 · As far as I understood this topic, oversampling and decimation increases the resolution because the white noise of the input signal is distributed along a larger frequency span. After the …

Mar 10, 2015 · I am really confused about oversampling and upsampling. I know that upsampling means stretching our signal in time domain by a factor of K, then interpolating some values or using just …