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      • First Edition Preface
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      • Which Printing?
    • Supplemental Tech Notes
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    • Instructor Resources
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Supplemental Technical Notes
Each of the technical notes below either expands on an existing topic in Fundamentals of Radar Signal Processing, or addresses a new topic not covered (yet; maybe in the next edition) in FRSP. The notes are listed in roughly chronological order, with the most recent at the top of the list.

  • Doppler Shift in Radar
  • Exact and Approximate Detection Probability Formulas in Fundamentals of Radar Signal Processing
  • Spatial and Temporal Frequency
  • Virtual Arrays
    • Part 1: Phase Centers and Virtual Elements
    • Part 2: Virtual Arrays and Coarrays
  • The SNR of a Simple Pulse in Noise
  • Binary Integration Gain
  • Optimum Bandpass Filter Bandwidth for a Rectangular Pulse
  • Notes on Noncoherent Integration Gain
  • SW2 is the Same as SW3 When N=2
  • Alternative Forms of Albersheim's Equation
  • Keystone Formatting for Range Migration Compensation
  • Resampling by DFT Zero Padding
  • A Note on Upsampling by Integer Factors Using the DFT
  • A Slight Extension to “Coherent Integration Loss Due to White Gaussian Phase Noise”
  • Noncoherent Integration Gain and its Approximation
  • A Numerical Issue in Computing the Rician and Noncentral Chi-Square PDFs
  • Notes on the Billingsley Clutter ICM Model
  • Derivation of the Range-Doppler Algorithm Frequency Response
  • Stepped Frequency Range Profile Parameters
  • The DTFT and DFT of Noise
  • Relationship Between Gamma, Erlang, Chi-Squared, and Swerling 3 & 4 PDFs (incorporated into the second edition)
  • Discrete-Time Gaussian Fourier Transform Pair, and Generating a Complex Gaussian Random Process with a Gaussian Power Spectrum
  • Time-Domain Calculation of MTI Power Gain (incorporated into the second edition)
  • The Rice or Rician Probability Density Function (incorporated into the second edition)
  • Time and Frequency Domain Windowing of Linear FM Pulses (incorporated into the second edition)
  • Generating Swerling Random Sequences

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