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View Resource Digital Signal Processing

Digital signal processing is a technique that uses digital methods to process signals. Processing a signal means manipulating it to improve it, change it, or alter it as required for some application. Some examples of processes are filtering, modulation and demodulation, mixing, spectrum analysis, compression and decompression, and many others. In the past, most of these processes have been...

View Resource The Basics of Programming Embedded Processors: Part 2

Where previously in Part 1 we covered the basics of program design and analysis and the usefulness of design patterns, in this part in this series of articles we develop models for programs that are more general than source code. Why not use the source code directly? First, there are many different types of source code - assembly languages, C code, and so on - but we can use a single model to...

View Resource DTFT Properties

This website includes a Java applet that displays the effect that various operations on an N-periodic, discrete-time signal (e.g. time shift, time scale, filtering) have on the signal and its spectra. Sketch the signal or magnitude and phase spectra with the mouse, and then select the operation.

View Resource Bode Servo Analysis

This site includes an interactive Java applet for control systems. Users may drag open-loop corner frequencies with the mouse to improve tracking performance and reject sensor noise in a unity-feedback system.

View Resource Introduction to Linear Dynamical Systems

Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares approximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Eigenvalues, left and right eigenvectors, and...

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