This introduction to random variables and signals is intended to provide engineering students with the analytic and computational tools for processing random signals using linear systems, developing the underlying theory as well as applications and making extensive use of examples. Computational aids, in particular, computer-based symbolic, graphical and numerical computation programs MATLAB and Mathcad, are used throughout for performing analytic manipulations and numerical calculations. The accompanying CD-ROM provides MATLAB notebooks and Mathcad sheets used in the examples to develop methods for processing random signals.Intended for a one-semester course for undergraduate or beginning graduate students, the book covers such topics as set theory and an introduction to probability
|TAILLE DU FICHIER||4.54 MB|
|FICHIER||Random signals for engineers using MATLAB and Mathcad. Includes CD-ROM.pdf|
Random signals are useful because they can excite the system uniformly at all frequencies up to the Nyquist frequency. You can use a random input signal for estimation at the command line, in the Model Linearizer, or with the Frequency Response Estimator block. The estimation algorithm injects the sinestream signal at the input point you specify for estimation, and measures the response at the Intro to MathCAD 11 - Ronald W Larsen - Häftad ...