Multi-Disciplinary Digital Signal Processing [electronic resource] : A Functional Approach Using Matlab / by E. S. Gopi.

Por: Gopi, E. S [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoEditor: Cham : Springer International Publishing : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XI, 200 p. 116 illus., 57 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319574301Tema(s): Signal processing | Image processing | Speech processing systems | Electrical engineering | Software engineering | Civil engineering | Mechanical engineering | Chemical engineering | Signal, Image and Speech Processing | Communications Engineering, Networks | Software Engineering/Programming and Operating Systems | Civil Engineering | Mechanical Engineering | Industrial Chemistry/Chemical EngineeringFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 621.382 Clasificación LoC:TK5102.9TA1637-1638Recursos en línea: Libro electrónicoTexto
Contenidos:
Sampling and Reconstruction of the Signals -- Infinite Impulse Response (IIR) Filter -- Finite Impulse Response Filter (FIR Filter) -- Multi-rate Digital Signal Processing -- Statistical Signal Processing -- Selected Applications in Multidisciplinary Domain.
En: Springer Nature eBookResumen: This book provides a comprehensive overview of digital signal processing for a multi-disciplinary audience. It posits that though the theory involved in digital signal processing stems from electrical, electronics, communication, and control engineering, the topic has use in other disciplinary areas like chemical, mechanical, civil, computer science, and management. This book is written about digital signal processing in such a way that it is suitable for a wide ranging audience. Readers should be able to get a grasp of the field, understand the concepts easily, and apply as needed in their own fields. It covers sampling and reconstruction of signals; infinite impulse response filter; finite impulse response filter; multi rate signal processing; statistical signal processing; and applications in multidisciplinary domains. The book takes a functional approach and all techniques are illustrated using Matlab. Presents a multi-disciplinary approach to digital signal processing; Written using a functional approach with all techniques illustrated using Matlab; Pertinent to research scholars, electrical, electronics, computer science, mechanical, civil, and chemical engineers. .
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Sampling and Reconstruction of the Signals -- Infinite Impulse Response (IIR) Filter -- Finite Impulse Response Filter (FIR Filter) -- Multi-rate Digital Signal Processing -- Statistical Signal Processing -- Selected Applications in Multidisciplinary Domain.

This book provides a comprehensive overview of digital signal processing for a multi-disciplinary audience. It posits that though the theory involved in digital signal processing stems from electrical, electronics, communication, and control engineering, the topic has use in other disciplinary areas like chemical, mechanical, civil, computer science, and management. This book is written about digital signal processing in such a way that it is suitable for a wide ranging audience. Readers should be able to get a grasp of the field, understand the concepts easily, and apply as needed in their own fields. It covers sampling and reconstruction of signals; infinite impulse response filter; finite impulse response filter; multi rate signal processing; statistical signal processing; and applications in multidisciplinary domains. The book takes a functional approach and all techniques are illustrated using Matlab. Presents a multi-disciplinary approach to digital signal processing; Written using a functional approach with all techniques illustrated using Matlab; Pertinent to research scholars, electrical, electronics, computer science, mechanical, civil, and chemical engineers. .

UABC ; Temporal ; 01/01/2021-12/31/2023.

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