2:00 Video length is 2:00 Description Full Transcript Related Resources What Is MATLAB Coder? Generate C and C++ code from MATLAB® code using MATLAB Coder™. Published: 18 Mar 2020Feedback Featured Product MATLAB Coder Request Trial Get Pricing Up...
MATLAB is a programming and numeric computing environment used by millions of engineers and scientists to analyze data, develop algorithms, and create models. Add-on toolboxes extend MATLAB for a wide range of tasks and applications.
MATLAB is also the foundation for Simulink®, a block diagram environment for simulating complex multi-domain systems. Where Is MATLAB Used? MATLAB and Simulink are used as fundamental modeling and simulation tools for research and development wherever engineering and science are applied. This include...
Learn what is MATLAB, how it started, what MATLAB is used for, the pros and cons, and MATLAB (Matrix Laboratory) is a high-level programming language.
HDL Coder enables high-level design for FPGAs, SoCs, and ASICs by generating Verilog and VHDL code. You can use the generated HDL code for FPGA programming, ASIC prototyping, and production design.
Code replacement is a technique to change the code that the code generator produces for functions and operators to meet application code requirements. For example, you can replace generated code to meet requirements such as: Optimization for a specific run-time environment, including, but not limite...
MATLAB Test offers four new capabilities for MATLAB developers: test management, advanced code coverage, equivalence testing, and a quality dashboard. You can use the project-based quality dashboard to raise the visibility of code readiness to an intuitive summary level. The dashboard is an ...
Unit Testing with MATLAB Testing code is an integral part of developing quality software. MATLAB®provides a robust, built-in unit testing framework that enables you to write unit tests and monitor for regressions in code functionality. The framework supports writing tests using classes, enabling ...
The quantization step is an iterative process to achieve acceptable accuracy of the network. See how to quantize, calibrate, and validate deep neural networks in MATLAB using a white-box approach to make tradeoffs between performance and accuracy, then deploy the quantized DNN to an embedded GPU ...
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