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 ...

supporting key activities such as algorithm design, dynamic simulation, and hardware validation, which can significantly ...

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 ...

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.

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.

Introduction This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML).

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 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 ...