Título : |
Ejercicios de tratamiento de la señal utilizando Matlab V. 4 |
Tipo de documento: |
texto impreso |
Autores: |
BURRUS, C. Sidney, Autor ; McCLELLAN, James H., Autor ; McCLELLAN, James H., Autor ; McCLELLAN, James H., Autor ; Alan V. Oppenheim, Autor ; Alan V. Oppenheim, Autor ; Alan V. Oppenheim, Autor ; Thomas W. Parks, Autor ; Thomas W. Parks, Autor ; Thomas W. Parks, Autor ; Luis Alberto Encinas, Traductor ; Luis Alberto Encinas, Traductor ; Luis Alberto Encinas, Traductor |
Mención de edición: |
Primera edición |
Editorial: |
Madrid : Prentice Hall Internacional |
Fecha de publicación: |
1998 |
Número de páginas: |
xii, 421 p. |
Il.: |
diagramas, tablas |
Dimensiones: |
25 cm. |
ISBN/ISSN/DL: |
978-84-89660-68-7 |
Nota general: |
Título original en ingles: Computer. Based exercicies for signal processing using matlab |
Idioma : |
Español (spa) |
Clasificación: |
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Nota de contenido: |
Señales y sistemas básicas -- La transformada discreta de fourier -- Análisis espectral -- Procesado multifrecuencia -- Sistemas y estructuras -- Señales aleatorias -- Efectos de longitud de palabra finita -- Diseño de filtros de tiempo discreto -- DFT y algoritmos FFT -- Aplicaciones -- Modelado de señal
|
Link: |
https://biblioteca.unap.edu.pe/opac_css/index.php?lvl=notice_display&id=19076 |
Ejercicios de tratamiento de la señal utilizando Matlab V. 4 [texto impreso] / BURRUS, C. Sidney, Autor ; McCLELLAN, James H., Autor ; McCLELLAN, James H., Autor ; McCLELLAN, James H., Autor ; Alan V. Oppenheim, Autor ; Alan V. Oppenheim, Autor ; Alan V. Oppenheim, Autor ; Thomas W. Parks, Autor ; Thomas W. Parks, Autor ; Thomas W. Parks, Autor ; Luis Alberto Encinas, Traductor ; Luis Alberto Encinas, Traductor ; Luis Alberto Encinas, Traductor . - Primera edición . - Madrid : Prentice Hall Internacional, 1998 . - xii, 421 p. : diagramas, tablas ; 25 cm. ISBN : 978-84-89660-68-7 Título original en ingles: Computer. Based exercicies for signal processing using matlab Idioma : Español ( spa)
Clasificación: |
|
Nota de contenido: |
Señales y sistemas básicas -- La transformada discreta de fourier -- Análisis espectral -- Procesado multifrecuencia -- Sistemas y estructuras -- Señales aleatorias -- Efectos de longitud de palabra finita -- Diseño de filtros de tiempo discreto -- DFT y algoritmos FFT -- Aplicaciones -- Modelado de señal
|
Link: |
https://biblioteca.unap.edu.pe/opac_css/index.php?lvl=notice_display&id=19076 |
Ejercicios de tratamiento de la señal utilizando Matlab V. 4
BURRUS, C. SidneyMcCLELLAN, James H. ; McCLELLAN, James H. ; McCLELLAN, James H. ; Oppenheim, Alan V. ; Oppenheim, Alan V. ; Oppenheim, Alan V. ; Parks, Thomas W. ; Parks, Thomas W. ; Parks, Thomas W. - -
Madrid : Prentice Hall Internacional - 1998
Título original en ingles: Computer. Based exercicies for signal processing using matlab
Señales y sistemas básicas -- La transformada discreta de fourier -- Análisis espectral -- Procesado multifrecuencia -- Sistemas y estructuras -- Señales aleatorias -- Efectos de longitud de palabra finita -- Diseño de filtros de tiempo discreto -- DFT y algoritmos FFT -- Aplicaciones -- Modelado de señal
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| ![Ejercicios de tratamiento de la señal utilizando Matlab V. 4 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) 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