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.

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

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.

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 ...

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 ...

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 ...

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

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: ...