## Digital Signal Processing DemystifiedJames D. Broesch is a staff engineer for General Atomics, where he is responsible for the design and development of several advanced control systems used on fusion control programs. He also teaches classes in signal processing and hardware design at the University of California-San Diego. Integrated book/software package allows readers to simulate digital signal processing (DSP) situations and experiment with effects of different DSP techniques. Gives an applications-oriented approach to DSP instead of a purely mathematical one. The accompanying CD includes a DSP "calculator" to help solve design problems |

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### Contents

Preface | 1 |

Chapter 1 Digital Signal Processing | 3 |

Chapter 2 The General Model of a DSP System | 9 |

Chapter 3 The Numerical Basis for DSP | 17 |

Chapter 4 Signal Acquisition | 49 |

Chapter 5 Some Example Applications | 59 |

Chapter 6 The Fourier Series | 75 |

Chapter 7 Orthogonality and Quadrature | 83 |

Chapter 11 Tools for Working with DSP | 153 |

Chapter 12 DSP and the Future | 163 |

Appendix A Fundamentals of Engineering Calculus and Other Math Tools | 167 |

Appendix B DSP Vendors | 181 |

Appendix C Useful Magazines and Other Publications | 187 |

Additional Web Resources | 189 |

Glossary | 191 |

195 | |

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### Common terms and phrases

algorithms amplitude analog frequency analog signal anti-aliasing filter bandwidth basic button circuit coefficients complex numbers concepts converted convolution convolving curve cycle defined developing differential digital frequency digital signal processing Discrete Fourier Transform discussion displayed DSP applications DSP Calculator DSP processor DSP system DSP techniques engineers Equation evaluated example expressed filter design FIR filter Fourier series frequency response graph imaginary implement Impulse Response infinite Infinite Impulse Response input signal integral Intentionally Left Blank interesting internal buffer Laplace transform look low-pass filter mathematical moving average filter negative frequency Notice number of points number of samples number of taps Nyquist frequency Nyquist theorem operation orthogonality output parameters phase poles polynomial practical resolution sequence x[n shown in Figure simple sine wave spectrum spreadsheet square wave Table tion transfer function variable voltage waveform z-plane z-transform zero