Working within the Embedded MATLAB subset, you can maintain one copy of the design—one “truth”—and elaborate it directly within MATLAB to incorporate embedded implementation requirements. Design ...

This article presents a workflow for system-level integration and verification of algorithms written in the Embedded MATLAB language subset. As an example, we use an adaptive noise filtering algorithm ...

March 13, 2007 Given the increasing use of algorithms, we expect many of our readers will rejoice at MathWorks newly announced introduction of two MATLAB builders that let application developers ...

Algorithm developers like to use the MATLAB language to develop this sort of algorithm for several reasons. First, variables in MATLAB can be of many types including scalars, vectors and matrices, so ...

MathWorks announced that BuildingIQ is using the data analytics capabilities in its MATLAB tool to speed the development and deployment of predictive algorithms for HVAC energy optimization.

MATLAB software is traditionally used for algorithm design such as signal and image processing, communications and other algorithm intensive applications. The algorithms are typically converted to C ...

MATLAB, the language of engineers and scientists, is a programming environment for algorithm development, data analysis, visualization, and numeric computation.

Although MATLAB is a powerful algorithm development tool, many of its benefits are reduced during the fixed-point conversion process. For example, new mathematical errors are introduced into the ...

While algorithms written for the GPU are often much faster, the process of building a framework for developing and testing them can be time-consuming. Many programmers write CUDA kernels integrated ...

The sigmoid function is used as a activation function. The design is simulated using MATLAB R2008a version. Maximum accuracy has been achieved.