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 ...

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 ...

For signal processing algorithm developers, MATLAB from The MathWorks is an essential tool. Its vector semantics and powerful visualization capabilities are a necessity for algorithm development.

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

MathWorks has tackled the time-consuming and sometimes complex task of manually creating embeddable C and C++ code from its Matlab analytical tool chain. The company has introduced a design tool that ...

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 ...

MILPITAS, CA, May 31, 2005 – AccelChip Inc., the industry’s only provider of automated flows from MATLAB® algorithms to silicon, will demonstrate DSP solutions that enable language-based synthesis ...

For all these algorithms, MATLAB codes and figures are included. The final chapter considers advanced concepts and trends in ISAR imaging. Key Topics Covered: ...