Signals and signal processing are a constant part of your everyday experience. This lesson introduces you to the incredible breadth of signal-processing applications. An overview of some of the key historical factors that have led to the proliferation of signal processing is also given. This lesson will prepare and motivate you for continued study of this exciting field.
The Fourier transform is the primary tool for analyzing signals and signal-processing systems in the frequency domain, especially when signals are sampled or converted from discrete time to continuous time. In this lesson you will learn the definition of the Fourier transform and how to evaluate the corresponding integrals for several common signals. You will Read More
In this lesson you will learn the principles at the core of the decimation-in-time fast Fourier transform algorithm. The (re)discovery of the fast Fourier transform algorithm by Cooley and Tukey in 1965 was perhaps the most significant event in the history of signal processing. There is evidence that Gauss first developed a fast Fourier transform-type Read More
This lesson presents several IIR filter examples designed using MATLAB. You will learn to design IIR filters using MATLAB's built-in filter-design functions from these examples. The lesson explains the conventions used by MATLAB to declare filter design specifications and how to properly call the relevant functions to perform the design. A comparison of different prototype Read More