Spring 2027

Digital Signal Processing Laboratory

Digital Signal Processing Laboratory: Implementing DSP algorithms on hardware using assembly/high-level languages; developing/testing IIR, FIR filters, FFT; fixed-point scaling; real-time object-oriented systems.

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Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 4

Recent recorded grades — Spring 2022: 3.55 GPA, 81.8% A/AB (n=22 letter grades); Spring 2023: 3.57 GPA, 78.6% A/AB (n=28 letter grades); Fall 2025: 3.46 GPA, 69.6% A/AB (n=23 letter grades).

What you’ll be able to do

  • Take specifications for a signal processing system and select an appropriate type of digital filter meeting required behavior

  • Apply discrete-time linear-system theory to design a filter

  • Code the filter in an algorithmic computer programming language using paradigms that allow embedding in a large software system

  • Apply the theory of time-domain and Fourier-domain representations of signals and linear systems operating on those signals to interpret and verify the behavior of the coded filter

  • Effectively communicate these steps in written documents

  • Quantify the relative performance of digital filters in different computing environments

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
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Prerequisites

Course map

E C E 330 and COMP SCI 300, graduate/professional standing, or member of Engineering Guest Students

    • take all
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
ECE 432

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Any of
    • All of
    • graduate/professional standing
    • member of Engineering Guest Students

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Spring 2022: 3.55 GPA, 81.8% A/AB (n=22 letter grades); Spring 2023: 3.57 GPA, 78.6% A/AB (n=28 letter grades); Fall 2025: 3.46 GPA, 69.6% A/AB (n=23 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • DSP algorithm implementation on hardware
  • IIR/FIR filters and FFT development
  • Fixed point arithmetic scaling
  • Real-time object-oriented DSP systems
  • Data and voice communication systems

Skills

  • Selecting digital filters based on system specifications
  • Designing filters using discrete-time linear-system theory
  • Coding filters in algorithmic languages for large software systems
  • Interpreting and verifying coded filter behavior using signal theory
  • Quantifying relative performance of digital filters across computing environments

Grades

Latest available · Fall 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
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  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "d41f3ed1e642384b4097eabe9c2bfe46242d3579f463bc1f17bb32827f9dc3fb",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}