EE320Digital Signal Processing

Course Prerequisites ToolSNHU 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
    - MAT142 — Precalculus with Limits
    - MAT140 — Precalculus
      - MAT136 — Introduction to Quantitative Analysis

Interactive Prerequisite Graph

Explore the prerequisite relationships visually. The graph below supplements the crawlable list above.

EE320

Digital Signal Processing

EE201

Signals and Systems

MAT275

Calculus II: Integration and Series

MAT225

Calculus I: Single-Variable Calculus

MAT142

Precalculus with Limits

MAT140

Precalculus

MAT136

Introduction to Quantitative Analysis

React Flow

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