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EE320

Digital Signal Processing

Course DirectorySNHU EE320 has 1 direct prerequisite, with 6 courses in its complete prerequisite tree.

Undergraduate · 3 credits

This course covers the theory and application of digital signal processing. Topics to be covered include discrete-time sequences and sampling; the discrete-time Fourier transform and the discrete Fourier transform; windowing, the short-time Fourier transform and spectrograms; convolution, digital down-conversion, quadrature signals and sample-rate conversion; analysis and design of FIR filters and Hilbert transformers; matched-filtering, block processing, frequency estimation, and digital signal processing applications to spectrum analysis.

Prerequisite Tree

  • EE201 — Signals and Systems
    • MAT275 — Calculus II: Integration and Series
      • MAT225 — Calculus I: Single-Variable Calculus
        • MAT140 — Precalculus
          • MAT136 — Introduction to Quantitative Analysis
        • MAT142 — Precalculus with Limits

Interactive Prerequisite Graph

React Flow

Unofficial — For Informational Purposes Only

This site is unofficial and is intended for informational purposes only. Course requirements, transfer evaluations, catalog rules, and program requirements can change. Always confirm your academic plan with your SNHU advisor for official guidance.