In this tutorial, Richard G. Lyons, author of the best-selling DSP book Understanding Digital Signal Processing, discusses the estimation of time-domain sinewave peak amplitudes based on fast Fourier transform (FFT) data.
Multipath distortion is a common problem in many DSP-based data transmission systems. Here, Neil Robertson shows how to model multipath channels using complex-coefficient FIR filters.
Many DSP systems use composite signals consisting of a sum of sinusoids of the same frequency, often a sine and cosine. In this tutorial, Richard G. Lyons, author of the best-selling DSP book Understanding Digital Signal Processing, thoroughly covers this important DSP topic by explaining and deriving formulas for the sum of two sinusoids of the same frequency.
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Top-Level Table of Contents
A Little MLS Tutorial
by Robert Bristow-Johnson
A Maximum-Length Sequence (MLS) has two different (but related) definitions:
One is the driving function applied to the input of a linear time invariant (LTI) system:
x[n] = X*(-1)^a[n]
The other definition is simply the binary sequence, a[n] = 0 or 1, used in the exponent.
In the classic paper, "An Economical Class of Digital Filters for Decimation and Interpolation", Hogenauer introduced an important class of digital filters called "Cascaded Integrator-Comb", or "CIC" for short (also sometimes called "Hogenauer filters").
Here, Matthew Donadio provides a more gentle introduction to the subject of CIC filters, geared specifically to the needs of practicing DSP designers:
Understanding complex numbers and quadrature signals is essential for understanding DSP at both a theoretical and a practical level. Yet this strange, complex subject (based on the admittedly imaginary construct of the square root of negative one!) is among the hardest for DSP beginners to grasp - and is confusing at times even for advanced DSPers.
Digital Signal Processing is a difficult and complex subject. Here, we offer tutorials to clear up some of the mysteries of DSP.