Efficient IC Verification
MATLAB and Simulink products enable collaboration and integration of analog and digital design and verification teams, enabling faster and higher-quality IC designs. Engineers can use a single design environment that combines control logic, state machines, and analog and digital components that are traditionally modeled at different levels of fidelity and in different design environments. MATLAB and Simulink allow the reuse of system-level models and test benches through HDL cosimulation, or as SystemVerilog DPI components that can be exported to an EDA verification environment such as Mentor Graphics ModelSim and Questa, Cadence Incisive, and Synopsys® VCS®.
MATLAB在数据科学中的应用：
Explore data; build machine learning models;
do predictive analytics
MATLAB® makes data science easy with tools to access and preprocess data, build machine learning and predictive models, and deploy models to enterprise IT systems.
Access data stored in flat files, databases, data historians, and cloud storage, or connect to live sources such as data acquisition hardware and financial data feeds
Manage and clean data using datatypes and preprocessing capabilities for programmatic and interactive data preparation, including apps for ground-truth labeling
Document data analysis with MATLAB graphics and the Live Editor notebook environment
Apply domain-specific feature engineering techniques for sensor, text, image, video, and other types of data
Explore a wide variety of modeling approaches using machine learning and deep learning apps
Fine-tune machine learning and deep learning models with automated feature selection and hyperparameter tuning algorithms
Deploy machine learning models to production IT systems, without recoding into another language
Automatically convert machine learning models to standalone C/C++ code
Semiconductor engineering teams use MATLAB® and Simulink® products when designing analog, digital, and mixed-** devices in order to create a more efficient design workflow and improved verification process. MATLAB and Simulink products allow semiconductor engineers to:
Design digital systems rapidly
Develop behavioral analog/mixed-** models
Verify IC designs efficiently
Prototype digital and mixed-** ASICs and FPGAs
Software and internet companies are in a race to extract meaningful information from big data. MATLAB® products can enable computer scientists and data analysts to quickly convert the information found in big data into valuable insights. MATLAB can be used to:
Explore data to look for gaps and patterns
Develop algorithms for predictive models
Accelerate analysis using high performance computing
Integrate and deploy applications into enterprise solutions
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