Conexant Systems, Inc. was an American-based software developer and fabless semiconductor company that developed technology for voice and audio processing, imaging and modems. The company began as a division of Rockwell International, before being spun off as a public company. Conexant itself then spun off several business units, creating independent…
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Conexant topic overview
The analysis highlights History, Measurement, Products and Technology as prominent areas in the source structure around Conexant.
Related topics
42
Source areas
4
Connected nodes
46
Extracted relationships
77
Related term clusters
18
Bridge connections
46
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
History · 23 topics
Product line · 11 topics
Overview · 7 topics
Operations · 1 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
January 4, 1999; 27 years ago (1999-01-04)
Industry
Semiconductor industry and software industry
Headquarters
Irvine, California, U.S.
Defunct
2017 (2017)
Key people
Rick Bergman (CEO)
Number of employees
312 (2014)
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Conexant
6Fabless manufacturing · Semiconductor · Audio signal processing
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
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Advanced semantic analysis
How Conexant connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Conexant shows recurring relationship patterns in the source. For example, Conexant → AD Converter, AD Converters, Android, Applications, At CES, AudioSmart, Codecs, Conexant's, Conexant's AudioSmart, Conexant's DSP, Conexant's VoiceSpeech, DSP, Far-field, I2S, I2S DSP, IoT, Linux, PCs, Skype, Smart Source Locator Another extracted example is Conexant → California, CNXT, Conexant Systems, Decker, Dwight, IC, In March, Inc, January, Jazz Semiconductor, NASDAQ, Newport Beach, On January, Rockwell, Rockwell International Corporation, Rockwell Semiconductor Systems, The Carlyle Group. Use these groups to spot repeated connection types before inspecting the individual relationships.
Conexant → California, CNXT, Conexant Systems, Decker, Dwight, IC, In March, Inc, January, Jazz Semiconductor, NASDAQ, Newport Beach, On January, Rockwell, Rockwell International Corporation, Rockwell Semiconductor Systems, The Carlyle Group
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 77 structured relationships around Conexant. Examples in this analysis include Conexant → Defunct → 2017 (2017) and Conexant → Founded → January 4, 1999; 27 years ago (1999-01-04). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Conexant
Defunct
2017 (2017)
1.00
infobox
Conexant
Founded
January 4, 1999; 27 years ago (1999-01-04)
1.00
infobox
Conexant
Headquarters
Irvine, California, U.S.
1.00
infobox
Conexant
Industry
Semiconductor industry and software industry
1.00
infobox
Conexant
Key people
Rick Bergman (CEO)
1.00
infobox
Conexant
Number of employees
312 (2014)
1.00
infobox
Conexant
Parent
Synaptics
1.00
infobox
Conexant
Products
Semiconductors for voice and audio processing (AudioSmart) and imaging (ImagingSmart)
1.00
infobox
Conexant
Revenue
$112 million (FY14)
1.00
infobox
Conexant
Traded as
Nasdaq: CNXT
1.00
infobox
Conexant
Type
Subsidiary
1.00
infobox
Conexant
Website
conexant.com at the Wayback Machine (archived 2009-02-28)
1.00
infobox
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Conexant bring nearby vocabulary together. In this analysis, examples include Inc, Semiconductor and Audiosmart. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Conexant
Inc
Semiconductor
Audiosmart
Company
Systems
Spun
Audio
Processing
Voice
Software
Announced
Imaging
conexant
Inc
Semiconductor
Audiosmart
Company
Systems
Spun
Audio
Processing
Voice
Software
Announced
Imaging
audio processing
Audiosmart
Voice
Software
Products
Processing
Imaging
Semiconductor
Voice-enabled
Systems
Codecs
Far-field
Imagingsmart
irvine, california
California
Irvine
Semiconductor
Systems
Synaptics
Product
Rockwell
Video
Imaging
Imagingsmart
Voice
Far-field
systems on a chip
Audiosmart
Synaptics
Imaging
Imagingsmart
Irvine
Product
Rockwell
Processing
Voice
Public
Video
California
product line
Imagingsmart
Product
Processors
Systems
Speech
Digital
Audiosmart
Irvine
Software
Video
California
Codecs
synaptics, inc.
Systems
Spun
Semiconductor
Synaptics
Imaging
Imagingsmart
Rockwell
Irvine
Processing
California
Technology
Audiosmart
globespanvirata, inc.
Systems
Spun
Semiconductor
Synaptics
Imaging
Imagingsmart
Rockwell
Processing
Technology
Audiosmart
Voice
Irvine
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Conexant, one of the stronger structural bridges in this analysis connects Conexant with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Conexant
Nodes47
Edges46
Triples77
Avg. degree1.96
Density0.042553
Components1
Source & methodology
TTTA analyzes the structure around Conexant to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement, Products & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
