Company patents
TEKTRONIX, INC.
TEKTRONIX, INC. demonstrates a strong, albeit consolidating, focus on Electrical Measurement, which constitutes 68.4% of its patent portfolio, despite a 48.9% decline in patent grants so far in 2026. Surprisingly, while core areas are slowing, the company shows an emerging focus on Computer Hardware Architecture, with a significant 100.0% year-over-year growth in 2026, suggesting a strategic shift towards foundational computing elements.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
250 US filings (since 2023) · 9 categories · 18 themes
Techniques and systems for precisely measuring electrical or electromagnetic properties of materials or components, often involving specialized resonators, waveguides, or multi-range measurement systems to ensure accuracy.
Techniques and apparatus for electrically testing semiconductor devices, integrated circuits, or wafers during manufacturing or post-assembly, including built-in self-test (BIST) and contact reliability assessment.
Techniques and circuits designed to identify, compensate for, or correct non-linearities, offsets, and other imperfections in signal processing paths, particularly within analog-to-digital, digital-to-analog, or digital-to-time converters.
Devices and methods for accurately measuring or monitoring electrical current draw and power usage in various systems, often for control, optimization, or safety purposes.
Methods and architectures for processing digital signals to enhance quality, remove noise, manage group delay, and facilitate symbol decision, often involving digital filters and equalization techniques.
Technologies for establishing and managing high-bandwidth, low-latency communication pathways between computing components, peripherals, or systems, focusing on signal integrity, synchronization, and interface standards.
Focuses on the architectural and circuit-level innovations for Analog-to-Digital Converters (ADCs) and Digital-to-Analog Converters (DACs) to improve speed, accuracy, linearity, and power efficiency. Includes specific types like SAR and Delta-Sigma, and their constituent components.
Methods for designing, transmitting, and utilizing specific reference signals (e.g., DMRS, SRS, PT-RS) to enable accurate channel estimation, interference measurement, synchronization, or sensing in wireless communication systems.
Methods and systems for identifying anomalies, failures, or impending issues within electric motors or their associated drive and power management circuits, often by monitoring electrical or operational parameters.
Techniques for encoding digital data onto analog carrier signals using complex constellation diagrams, multi-level signaling, or layered approaches, often combined with error correction codes, to achieve higher data rates, improved spectral efficiency, or extended range.
Software, algorithms, and associated hardware for monitoring, controlling, and optimizing battery performance, safety, and lifespan, including charge/discharge cycles, thermal regulation, and system integration.
Design and configuration of adaptable frame structures, resource block groupings, and subcarrier spacings to optimize data transmission across diverse wireless environments and services, including considerations for fronthaul interfaces.
Techniques enabling simultaneous transmission and reception of signals on the same or adjacent frequency bands, including methods for managing and mitigating self-interference and configuring network resources for such operation.
Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.
Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.
User interface designs and systems that enable multiple users to interact with shared content, provide feedback, or coordinate activities, often across different devices or locations.
Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.
Designing user interfaces and interaction methods specifically for mobile or wearable devices, enabling control of external systems, monitoring user states, or facilitating real-world transactions.
Patents
Showing 1-6 of 6
Full-Duplex Communication & Self-Interference Mitigation