# ECE 734: Vlsi Array Structures for Digital Signal Processing | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/ECE_734)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

2026-09-07T15:55:43.033547+00:00

### built at

2026-09-10T19:50:42.743001+00:00

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
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### term

1272

### departments

| subject   | count |
| --------- | ----- |
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| ABT       | 20    |
| ACCTIS    | 36    |
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| ASTRON    | 38    |
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| CHEM      | 101   |
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| F\&WECOL  | 60    |
| FAMMED    | 22    |
| FINANCE   | 50    |
| FOLKLORE  | 40    |
| FOODSCI   | 43    |
| FRENCH    | 63    |
| GEN\&WS   | 145   |
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| GENECSLR  | 17    |
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| GLE       | 48    |
| GNS       | 38    |
| GREEK     | 27    |
| HDFS      | 41    |
| HEBR-BIB  | 13    |
| HEBR-MOD  | 10    |
| HISTORY   | 233   |
| HISTSCI   | 56    |
| HONCOL    | 13    |
| ILS       | 43    |
| INFOSYS   | 9     |
| INTEGART  | 7     |
| INTEGSCI  | 22    |
| INTER-AG  | 18    |
| INTER-HE  | 11    |
| INTER-LS  | 22    |
| INTEREGR  | 16    |
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| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
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| MEDIEVAL  | 32    |
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| MEDSC-M   | 29    |
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| MM\&I     | 22    |
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| MS\&E     | 59    |
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| NAVSCI    | 20    |
| NE        | 44    |
| NEURODPT  | 11    |
| NEUROL    | 7     |
| NEURSURG  | 4     |
| NTP       | 11    |
| NURSING   | 111   |
| NUTRSCI   | 65    |
| OBS\&GYN  | 18    |
| OCCTHER   | 39    |
| ONCOLOGY  | 14    |
| OPHTHALM  | 5     |
| OTM       | 43    |
| PATH      | 34    |
| PATH-BIO  | 29    |
| PEDIAT    | 26    |
| PHARMACY  | 31    |
| PHILOS    | 77    |
| PHMCOL-M  | 11    |
| PHMPRAC   | 45    |
| PHMSCI    | 60    |
| PHYASST   | 37    |
| PHYSICS   | 88    |
| PHYSIOL   | 3     |
| PHYTHER   | 37    |
| PLANTSCI  | 52    |
| PLPATH    | 35    |
| POLISCI   | 192   |
| POPHLTH   | 58    |
| PORTUG    | 33    |
| PSYCH     | 101   |
| PSYCHIAT  | 22    |
| PUBAFFR   | 54    |
| PUBLHLTH  | 23    |
| RADIOL    | 11    |
| REALEST   | 41    |
| RELIGST   | 90    |
| RHABMED   | 9     |
| RMI       | 24    |
| RP\&SE    | 102   |
| S\&APHM   | 17    |
| SCANDST   | 73    |
| SLAVIC    | 89    |
| SOC       | 149   |
| SOCWORK   | 87    |
| SOILSCI   | 46    |
| SPANISH   | 83    |
| SRMED     | 21    |
| STAT      | 94    |
| STDYABRD  | 52    |
| STS       | 8     |
| SURGERY   | 25    |
| SURGSCI   | 33    |
| THEATRE   | 91    |
| URBRPL    | 60    |
| UROLOGY   | 5     |
| ZOOLOGY   | 89    |

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

2026-09-07 15:55:43.033547+00:00

### record version id

7e1f34c286586b619497f7b9e67b337b0939c4e75bd8e48d95e6aac5103a68cc

### course id

ECE 734

### course uid

course\_459766e929cc2c2587a6424f

### catalog version id

2ee56076207daae02457ba2e483f3eec20aee84c8bd4f81cf836b29607cb2bdf

### course number

734

### subjects

* ECE

### title

VLSI ARRAY STRUCTURES FOR DIGITAL SIGNAL PROCESSING

### description

An overview of the architectures and design methodologies of VLSI array processors for digital signal processing. Emphasis is placed on the techniques of mapping algorithms onto array structures for real time signal processing. Knowledge of digital signal processing \[such asE C E 431] and computer architecture \[such asE C E/​COMP SCI  552] strongly encouraged.

### requirements text

Graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

14029923b7bb9878cd2e3c6ef9481e8fbfba0a3b474948c2fefa659c2554054a

### llm model

nvidia/Qwen3.6-35B-A3B-NVFP4

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

ECE 734 covers VLSI array processor architectures and design methodologies for digital signal processing, focusing on mapping algorithms to array structures.

### llm topics

* VLSI array processor architectures.
* Algorithm mapping to array structures.
* Real-time signal processing applications.

### llm skills

* Mapping algorithms onto array structures for real-time signal processing.
* Understanding VLSI array processor architectures and design methodologies.

### llm assumed background

* Digital signal processing fundamentals including spectral analysis, transforms, and filter design.
* Computer architecture including processor design, memory hierarchies, and I/O structures.

### llm search phrases

* VLSI array processors
* digital signal processing mapping
* real time signal processing architectures
* algorithm mapping array structures

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

3e1cab6782d08538c3221b5f05d973fb9f44ee41bb14728a99b5718bd99db669

#### course id

ECE 734

#### current instructors

None recorded.

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

false

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

Recent recorded grades — Fall 2016: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2018: 3.43 GPA, 42.9% A/AB (n=7 letter grades); Spring 2022: 3.62 GPA, 75.0% A/AB (n=8 letter grades).

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```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

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```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

```json
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    "term_id": "1204",
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### statistics

#### gpa

3.638

#### graded

47

#### counts

* 24
* 12
* 11
* 0
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_459766e929cc2c2587a6424f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_459766e929cc2c2587a6424f-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_459766e929cc2c2587a6424f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_459766e929cc2c2587a6424f-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_459766e929cc2c2587a6424f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_459766e929cc2c2587a6424f-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.6382978723404253

#### count

47

#### university

##### size

3301

##### gpa Percentile

46

##### count Percentile

21

##### median Count

96

##### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 16    | false   |
| 2.8–3.2 | 342   | false   |
| 3.2–3.6 | 1022  | false   |
| 3.6–4.0 | 1921  | true    |

#### departments

```json
[
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      "medianCount": 111.5,
      "histogram": [
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```

### terms

#### 1094

##### term

1094

##### gpa

3.5714285714285716

##### count

14

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1134

##### term

1134

##### gpa

3.6666666666666665

##### count

12

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1172

##### term

1172

##### gpa

4

##### count

6

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1192

##### term

1192

##### gpa

3.4285714285714284

##### count

7

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1224

##### term

1224

##### gpa

3.625

##### count

8

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

### benchmarks

#### all

##### school

###### size

3301

###### gpa

3.6211400471032182

###### top Share

79.33501141966381

###### count

96

##### ECE

###### size

90

###### gpa

3.5322025703700644

###### top Share

74.08316142342295

###### count

111.5

#### terms

##### 1094

###### school

###### size

758

###### gpa

3.3891454428111527

###### top Share

64.36369814389255

###### count

71

###### ECE

###### size

18

###### gpa

3.1709531378777993

###### top Share

48.482368483424565

###### count

52

##### 1104

###### school

###### size

793

###### gpa

3.384661458923085

###### top Share

64.6614752434143

###### count

66

###### ECE

###### size

18

###### gpa

3.0763591673236226

###### top Share

47.17040644572389

###### count

55.5

##### 1134

###### school

###### size

852

###### gpa

3.4138934207568203

###### top Share

66.35946578182744

###### count

66

###### ECE

###### size

26

###### gpa

3.3422063178165016

###### top Share

62.38776016208119

###### count

69

##### 1172

###### school

###### size

991

###### gpa

3.465129042641772

###### top Share

69.42600667567366

###### count

67

###### ECE

###### size

35

###### gpa

3.3883507843058354

###### top Share

63.7905998393372

###### count

72

##### 1192

###### school

###### size

1077

###### gpa

3.50327634323125

###### top Share

72.44641925727845

###### count

67

###### ECE

###### size

38

###### gpa

3.447533461703932

###### top Share

70.3070826404184

###### count

77

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

###### ECE

###### size

34

###### gpa

3.7346193271517083

###### top Share

86.80502962000203

###### count

73.5

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

###### ECE

###### size

43

###### gpa

3.493101515836076

###### top Share

71.87667215876023

###### count

78

## instructor Trends

```json
[
  {
    "uid": "instructor_08573dd5525332150a039cef",
    "name": "YU HU",
    "count": 47,
    "terms": [
      {
        "term": "1094",
        "count": 14,
        "sections": 1,
        "gpa": 3.5714285714285716
      },
      {
        "term": "1134",
        "count": 12,
        "sections": 1,
        "gpa": 3.6666666666666665
      },
      {
        "term": "1172",
        "count": 6,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1192",
        "count": 7,
        "sections": 1,
        "gpa": 3.4285714285714284
      },
      {
        "term": "1224",
        "count": 8,
        "sections": 1,
        "gpa": 3.625
      }
    ]
  }
]
```

## following

None recorded.
