Pre-requisites Sampling theorem – baseband sampling How to Interpret FFT results – complex DFT, frequency bins and FFTShift Related topic: Analytic signal, Hilbert Transform and FFT Extracting instantaneous amplitude,phase,frequency –…

# Tag: oversampling

Prerequisite: Sampling theorem – baseband sampling Intermediate Sampling or Under-Sampling A signal is a bandpass signal if we can fit all its frequency content inside a bandwidth \(F_b\). Bandwidth is simply the…

Read More Sampling Theorem – Bandpass or Intermediate or Under Sampling

For Matlab demo of sampling see here. “Nyquist-Shannon Sampling Theorem” is the fundamental base over which all the digital processing techniques are built. Processing a signal in digital domain…

An implementation of a rectangular pulse shaping filter in transmitter and receiver side was discussed in the previous article. Another pulse shaping filter namely Raised Cosine Filter was also discussed.…

Read More Square Root Raised Cosine Filter (Matched/split filter implementation)

In order to simulate a communication system in Matlab one needs to understand the concept of oversampling (upsampling) and undersampling (downsampling). Digital communication systems involves conversion of digital data to…

Read More Oversampling, ADC – DAC Conversion,pulse shaping and Matched Filter

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