MATLAB provides a highly efficient environment for developing the mathematics of an algorithm that you can generally accomplish with a small set of simulation vectors. When targeting that algorithm to ...

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 ...

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 ...

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.

The MathWorks has introduced Fixed-Point Toolbox 2, which the company said provides enhanced floating-to-fixed-point conversion capabilities and accelerated fixed-point MATLAB algorithms able to ...

Back Propagation is a common method of training artificial neural networks so as to minimize objective function. This paper describes the implementation of back propagation algorithm.

On June 13th, MathWorks will be conducting a seminar on the latest features of the MATLAB and Simulink products. The session will cover how to acquire, analyze and visualize data through mathematical, ...