## Fundamentals of Signals and Systems with CD-ROM: A Building Block ApproachThis innovative textbook provides a solid foundation in both signal processing and systems modeling using a building block approach. The authors show how to construct signals from fundamental building blocks, and demonstrate a range of powerful design and simulation techniques in Matlab, recognizing that signal data are usually received in discrete samples, regardless of whether the underlying system is discrete or continuous in nature.Containing many worked examples, homework exercises, and a range of Matlab laboratory exercises, this is an ideal textbook for undergraduate students of engineering, and related disciplines. |

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very poor explanation it should have been atleast simple and easy to remember but its a complex explanation for an indian student i dont think i should give any stars to it but still i give one star

### Contents

Introduction to signals and systems | 1 |

Constructing signals from building blocks | 29 |

Sampling and data acquisition | 85 |

Lumped element modeling of mechanical systems | 118 |

Lumped element modeling of electrical systems | 158 |

Solution to differential equations | 183 |

Inputoutput relationship using frequency response | 217 |

Digital signal processing | 266 |

Laboratory exercise 5 Frequency response | 400 |

Time response to sinusoidal input | 401 |

Numerical solution with the Fourier transform | 402 |

Time response to step input | 403 |

Optimizing the suspension | 404 |

Laboratory exercise 6 DTMF | 405 |

fdomain and tdomain | 406 |

Bandpass ﬁlters | 407 |

Applications | 310 |

Laboratory exercises | 363 |

Variables | 370 |

Housekeeping | 377 |

Generating musical notes | 383 |

The inverse discrete Fourier transform | 391 |

Time response of a parallel RLC circuit to a sweep input | 396 |

Exercises | 399 |

### Common terms and phrases

ˆx(t aliasing approximation basis functions Bode plot building blocks capacitor coefficients complex exponentials complex number compute Consider continuous-time signal corner frequency cosine damper deﬁned deﬁnition determine differential equation discrete Fourier transform discrete-time signal discrete-time systems electrical systems element endpoint example expression factor Figure for Problem ﬁle ﬁnd ﬁrst ﬂow Fourier series free body diagram Frequency Hz frequency response function governing equation impedance inductor linear log magnitude lumped element model mass MATLAB matrix mechanical system Newton’s Second Law node obtain orthogonal output amplitude parallel periodic phasor pulse train rad/s resistor restoring force RLC circuit sampling frequency second-order system shown in Figure shows signal x(t signals and systems sinusoid solution solve speciﬁcations spectrum square wave step input step response system of Figure torque underdamped unit step values vector vin(t voltage drop zero