Get started with algorithm and digital hardware design and verification collaborating to explore implementation options, verify earlier, and generate verification components.
Watch this five-part video guide to learn about FPGA design with MATLAB. Discover the key factors to consider when targeting a signal-processing algorithm to FPGA or ASIC hardware.
How to design and implement signal processing, control design, and vision algorithms on FPGA, ASIC and SoC while adhering to functional safety standards such as ISO 26262, IEC 61508 or IEC 62304.
Using the inbuilt block parameters of the DSP HDL Toolbox FFT block, engineers can quickly explore architecture implementations, simulate hardware latency, and stream incoming data in sample- or frame-based processing to meet high-speed requirements.
Learn how high-level design in MATLAB and Simulink allows you to shorten the design and verification time on ASIC and FPGA projects. HDL Coder provides this design environment and HDL Verifier links to industry-leading verification tools for design v
Learn how to produce ASIC-optimized implementations of MATLAB code using HDL Coder. Generate synthesizable, fixed-point SystemC code with a SystemC testbench for use with the Cadence Stratus HLS high-level synthesis tool.
Learn about the high-level design of FPGAs and ASIC with MATLAB and Simulink through live demonstrations using HDL Coder. The demonstration covers a step-by-step process from initial models, hardware construct incorporation, and RTL code generation.
Generate SystemVerilog DPI components to speed verification environment creation, debug issues with cosimulation between MATLAB or Simulink and HDL simulation, and learn how to eliminate bugs much earlier through broader collaboration.
MATLAB as AXI Master in HDL Verifier provides read/write access to on-board memory locations on Xilinx® FPGA and Zynq® SoC boards from a MATLAB session. See how it’s used to control an IP core generated by HDL Coder.
ASIC Testbench for HDL Verifier is an add-on that enables HDL Verifier to generate testbench components from MATLAB or Simulink into Universal Verification Methodology (UVM) or SystemVerilog environments.
Export UVM and SystemVerilog testbenches from MATLAB and Simulink to ASIC/FPGA production environments for Cadence, Siemens, Synopsys, and AMD simulators.
See how to design and implement a range-Doppler radar on the Xilinx Zynq UltraScale+ RFSoC platform. Simulate the effects of accessing external memory and task scheduling, then verify behavior with code generation and deployment.
Learn how to design deep learning, computer vision, and signal processing applications and deploy to Xilinx Zynq FPGAs, NVIDIA GPUs, and CPUs. Prototype deep learning networks in your FPGA-based applications with the new MATLAB based workflow.
Learn how you can use Model-Based Design to develop a flight control system involving software (C code) and an FPGA (HDL code) implemented on an SoC (system on a chip).
The goal of the webinar is to provide an overview of the real-time simulation and testing (RTST) solution from MathWorks and Speedgoat for RCP/HIL. Take your control design from a desktop simulation and test it in real time with hardware and I/O.
This hands-on, one-day course focuses on modeling designs based on software-defined radio in MATLAB and Simulink and configuring and deploying on the ADI RF SOM.
Learn why motor control engineers are considering FPGAs and SoCs for their next design and how they are using Simulink to accomplish this with minimal to no FPGA programming.
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