Mathematical Summary for Digital Signal Processing Applications with Matlab [recurso electrónico] / by E. S. Gopi.

Por: Gopi, E. S [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: Texto

TextoEditor: Dordrecht : Springer Netherlands : Imprint: Springer, 2010Descripción: XIV, 219 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789048137473Tema(s): Engineering | Computer software | Matrix theory | Engineering | Signal, Image and Speech Processing | Linear and Multilinear Algebras, Matrix Theory | Algorithm Analysis and Problem ComplexityFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 621.382 Clasificación LoC:TK5102.9TA1637-1638TK7882.S65Recursos en línea: Libro electrónico Texto

Contenidos:

Matrices -- Probability -- Random Process -- Linear Algebra -- Optimization -- Matlab Illustrations.

En: Springer eBooksResumen: Mathematical summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt in the DSP core subject, but used in DSP applications. Matlab programs with illustrations are given for the selective topics such as generation of Multivariate Gaussian distributed sample outcomes, Bacterial foraging algorithm, Newton’s iteration, Steepest descent algorithm, etc. are given exclusively in the separate chapter. Also Mathematical summary for Digital Signal Processing Applications with Matlab is written in such a way that it is suitable for Non-Mathematical readers and is very much suitable for the beginners who are doing research in Digital Signal Processing.

Existencias ( 1 )
Notas de título ( 3 )

Existencias
Tipo de ítem	Biblioteca actual	Colección	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras
Libro Electrónico	Biblioteca Electrónica	Colección de Libros Electrónicos	TK5102.9 (Browse shelf(Abre debajo))	1	No para préstamo		377700-2001

Matrices -- Probability -- Random Process -- Linear Algebra -- Optimization -- Matlab Illustrations.

Mathematical summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt in the DSP core subject, but used in DSP applications. Matlab programs with illustrations are given for the selective topics such as generation of Multivariate Gaussian distributed sample outcomes, Bacterial foraging algorithm, Newton’s iteration, Steepest descent algorithm, etc. are given exclusively in the separate chapter. Also Mathematical summary for Digital Signal Processing Applications with Matlab is written in such a way that it is suitable for Non-Mathematical readers and is very much suitable for the beginners who are doing research in Digital Signal Processing.