EECE 5666 — Digital Signal Processing

4 semester hoursGraduateLectureusually offered: springtypical days: T/FBostonOnlineTraditionalVideo Streaming

Presents the theory and practice of modern signal processing techniques. Topics include the characteristics of discrete signals and systems, sampling, and A/D conversion; the Z-transform, the Fourier transform, and the discrete Fourier transform; fast Fourier transform algorithms; design techniques for IIR and FIR digital filters; and quantization effects in digital signal processing. Graduate students may register for this course only if they did not complete an undergraduate course in digital signal processing; such graduate registration requires approval of instructor and an internal departmental petition.

Prerequisites

• one of:
  • all of:
    • one of:
      • ME 4555 (min D-)
      • EECE 2520 (min D-)
    • EECE 3468 (min D-)
  • graduate program admission

Offering history

Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.

Meeting times

Share of recent sections by weekday: M 0% · T 85% · W 0% · Th 0% · F 85%

Common patterns: TF (85% of sections), async (15% of sections) — in patterns, R means Thursday

Professors

Spring

• Vinay Ingle (100% of students) · reviews

Percentages are each professor's average share of the season's enrolled students in recent terms.

Unlocks

EECE 7310

Courses that list EECE 5666 in their prerequisites.

Links

Official catalog (EECE course descriptions) · Student reviews on RateMyHusky · All EECE courses · Plan it at numap.app