开发技能

Set up CAN or CAN FD communication in MATLAB, from finding supported hardware and configuring channels to sending, receiving, filtering, and decoding messages. The skill also guides bus monitoring and analysis, with vendor and platform differences taken into account.

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• Setting up a CAN or CAN FD test bench
• Sending and receiving bus messages
• Filtering and decoding message signals

Create MATLAB workflows that capture RF data on NI USRP radios only when a signal is detected. Choose energy detection for rising signal power or preamble detection to match a known sequence, then scan frequencies or tune detection thresholds.

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• Capture only when signal energy rises above the noise floor
• Capture WLAN, LTE, or 5G signals by matching a known preamble
• Scan frequency channels for activity

Design PCB power splitters, combiners, couplers, and Rotman lenses in MATLAB. Select a topology for the required power division or beam-forming task, inspect the layout, and evaluate S-parameters, coupling, directivity, and isolation across frequency.

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• Designing a Wilkinson power splitter
• Creating branchline or ratrace couplers
• Building a corporate divider for an antenna array

Design RF filters in MATLAB for selecting frequency bands or rejecting unwanted signals. Choose topologies such as hairpin, coupled-line, combline, stub, and SIW, inspect responses, and extract a filter model from measured S-parameter data.

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• Designing a compact bandpass filter
• Creating a lowpass or notch filter
• Choosing a filter topology for a bandwidth target

Convert MATLAB Data Acquisition Toolbox scripts from the legacy session interface to the newer DataAcquisition interface. The skill helps update channel setup, triggers, callbacks, continuous acquisition, and analog output patterns, and explains common migration errors.

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• Migrating a script that uses the session API
• Replacing DataAvailable listeners with callbacks
• Combining triggers with continuous data acquisition

Design and simulate a MATLAB digital down converter using `dsphdl` streaming components, including an NCO, mixer, and decimation filters. Handle integer or fractional rate changes and generate synthesizable Verilog or VHDL with HDL Coder.

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• Designing an FPGA or ASIC receiver front end
• Building an NCO, mixer, and decimation filter chain
• Handling a non-integer output sample rate

Use MATLAB RF Toolbox and RF Blockset workflows to inspect measured S-parameter data, convert and combine networks, design matching circuits, and analyze amplifiers or mixers. The skill also supports RF signal-chain budgets and time-domain Circuit Envelope simulation.

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• Inspecting Touchstone S-parameter files and Smith charts
• Cascading or de-embedding RF networks
• Designing impedance matching networks

Use this MATLAB guidance when building or simulating custom OFDM transmitters and receivers. It covers modulation, subcarrier allocation, noise and SNR, fading channels, channel estimation, synchronization, and coding, with practices that help avoid subtle simulation errors.

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• Building a custom OFDM transmitter and receiver
• Allocating data, pilot, and guard subcarriers
• Simulating OFDM noise and SNR

Use this MATLAB skill to model signal vias in multilayer PCB stackups, configure pads and antipads, and place ground return vias. Analyze via S-parameters, check resonance risk, and assess signal integrity across high-speed layer transitions.

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• Modeling a via between PCB signal layers
• Configuring pad and antipad geometry by layer
• Planning ground return via placement

Use this skill to discover OPC UA servers, connect MATLAB clients, and inspect server nodes. It helps configure authentication and security, troubleshoot certificate or connection issues, find nodes by name or ID, and navigate server hierarchies.

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• Finding OPC UA servers and checking endpoints
• Connecting with credentials or certificates
• Troubleshooting certificate and connection errors

Connect multiple RF PCB components in MATLAB, add lumped resistors, capacitors, or inductors, and analyze the combined design. The skill also covers exporting S-parameters to Touchstone files and linking PCB networks with circuit, antenna array, or eye diagram workflows.

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• Cascading PCB filters and transmission lines
• Adding a capacitor or resistor to an internal PCB port
• Exporting S-parameters for use in another simulator

Build a Simulink model of a phase-locked loop (PLL) from a datasheet or system specifications using Mixed-Signal Blockset. Choose an architecture, configure the loop filter and VCO, simulate performance, and compare measured results with targets.

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• Modeling a PLL from its datasheet
• Designing a frequency synthesizer from specifications
• Checking PLL lock time and phase noise

Turn MATLAB monitoring scripts into operator dashboards for industrial systems. Build plant, area, and detail screens with live data, alarms, trends, and confirmed setpoint writes, following conventions that help operators distinguish normal readings from conditions requiring attention.

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• Wrapping an OPC UA, Modbus, MQTT, or PI script in an operator dashboard
• Building plant overview, area, and detail screens
• Adding alarms, live trends, or guarded setpoint controls

Set up a UDP connection between MATLAB and a PX4 or ArduPilot autopilot using MAVLink, a drone communication protocol. Configure message definitions and transport, send periodic heartbeats, and discover the remote client for a ground control station or SITL setup.

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• Connecting MATLAB to a PX4 autopilot over UDP
• Setting up MATLAB communication with ArduPilot
• Building a ground control station connection for SITL

Configure dielectric substrates, metal conductors, multilayer stackups, and frequency-dependent loss models for RF PCB simulations in MATLAB. Use catalog materials or define custom properties before creating dielectric or metal objects for a board or component.

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• Selecting an FR4 or Rogers substrate
• Defining custom dielectric properties
• Setting conductor material and thickness

Update legacy MATLAB code that uses removed or discouraged functions and patterns. Map older APIs to current alternatives for tasks such as file import, dates, strings, and dynamic evaluation, and address patterns that Code Analyzer may not flag.

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• Replacing removed MATLAB functions in legacy code
• Migrating csvread or xlsread to current file-reading functions
• Finding discouraged patterns that Code Analyzer misses

Turn a folder of MATLAB code into an installable `.mltbx` toolbox. The workflow guides you through defining its public interface, checking dependencies, preparing documentation and a build plan, assessing readiness, creating the package, and publishing a versioned release, with review points along the way.

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• Packaging a MATLAB code folder as a toolbox
• Preparing MATLAB code for sharing as an installable add-on
• Reviewing dependencies and build readiness before release

Investigate MATLAB errors and unexpected results by reading relevant code, checking variables, tracing calls, and testing focused hypotheses in a live session. It helps locate likely causes of runtime failures and verify practical fixes.

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• Trace the cause of a MATLAB error message
• Inspect variable values and dimensions at failure
• Find why a function returns an unexpected result

Prepare MATLAB parallel pool workers with paths, environment variables, connections, libraries, or data before parallel work begins. The guidance helps manage per-worker resources and setup, and modernize spmd-based setup patterns for parfor and parfeval workflows.

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• Make a library available to each parallel worker
• Load a data file once per worker for parfor
• Set paths or environment variables on pool workers

Analyze RF PCB components in MATLAB by extracting S-parameters, checking insertion and return loss, and viewing fields or currents. Compare electromagnetic solvers, tune mesh density, and use frequency sweeps to balance analysis speed and accuracy.

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• Checking RF component S-parameters and insertion loss
• Comparing MoM and FEM solver results
• Viewing electric fields or current distributions

Build and solve finite element models in MATLAB PDE Toolbox, from geometry and mesh setup to thermal, structural, or electromagnetic analysis. Extract values such as stress and heat flux, and visualize results to inspect how a model behaves.

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• Creating a geometry and setting up a finite element model
• Solving a thermal, structural, or electromagnetic problem
• Inspecting stress, displacement, heat flux, or other results

Use this skill to call Python functions and libraries from MATLAB, pass data between the two environments, and configure Python for MATLAB. It also helps diagnose missing-package and environment setup errors and choose the appropriate MATLAB interface for scripts or direct calls.

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• Calling a Python library from MATLAB
• Passing MATLAB data to Python functions
• Setting up a Python environment for MATLAB

Read and write CSV, Excel, Parquet, JSON, XML, and text files in MATLAB. Get guidance on choosing import options, handling URLs and encodings, checking for data changes during import, and diagnosing common file errors.

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• Importing a spreadsheet with mixed text and numeric columns
• Reading a CSV that uses European decimal and delimiter conventions
• Checking imported Excel or Parquet data for silent value changes

Use this skill to define or review MATLAB function inputs with `arguments` blocks. It helps choose size and type checks, handle repeating and name-value arguments, avoid unintended conversions, and migrate validation from `inputParser` or `validateattributes`.

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• Adding input checks to a MATLAB function
• Migrating validation from `inputParser`
• Reviewing type and size behavior