“What is the best filter that I should use?” is often the question asked by many. There exists two different types of Linear Time Invariant (LTI) filters from transfer function standpoint…

# Tag: Signal Processing

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This article is also available in PDF format – Free Download here. Looking for the proper way to generate AWGN noise in Matlab/Octave ? Here you go… AWGN – the…

Auto-correlation, also called series correlation, is the correlation of a given sequence with itself as a function of time lag. Cross-correlation is a more generic term, which gives the correlation…

Mathematical details of convolution, its relationship to polynomial multiplication and the application of Toeplitz matrices in computing linear convolution are discussed in the previous article. A short survey of different…

Convolution operation is ubiquitous in signal processing applications. The mathematics of convolution is strongly rooted in operation on polynomials. The intent of this text is to enhance the understanding on…

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…

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…

Modified Duobinary Signaling is an extension of duobinary signaling. Modified Duobinary signaling has the advantage of zero PSD at low frequencies (especially at DC ) which is suitable for channels…

The condition for zero ISI (Inter Symbol Interference) is $$ p(nT)=\left\{\begin{matrix} 1,\; n=0\\ 0,\; n\neq 0 \end{matrix} \right. $$ which states that when sampling a particular symbol (at time instant…

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