Implementacao De Idft Programado Em Python


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Implementação De Idft Programado Em Python


Implementação De Idft Programado Em Python

Author: Vitor Amadeu Souza

language: pt-BR

Publisher: Clube de Autores

Release Date: 2025-07-04


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Este livro apresenta uma introdução prática à Transformada Inversa Discreta de Fourier (IDFT). Ao invés de utilizar apenas bibliotecas prontas, o leitor é guiado por implementações manuais que revelam a lógica matemática por trás das transformações, tornando o aprendizado mais profundo e acessível. Através de sinais simples e visualizações claras com gráficos, demonstra-se como a DFT transforma um sinal do tempo para o domínio da frequência e como a IDFT é capaz de recuperar o sinal original a partir dessa representação espectral. O código utilizado evidencia o funcionamento das fórmulas fundamentais, ao mesmo tempo em que oferece uma base sólida para aplicações mais avançadas no processamento digital de sinais. Destinado a estudantes, professores e entusiastas da computação, engenharia e ciências aplicadas, este material busca aproximar teoria e prática com clareza, simplicidade e rigor computacional.

Linear Algebra, Signal Processing, and Wavelets - A Unified Approach


Linear Algebra, Signal Processing, and Wavelets - A Unified Approach

Author: Øyvind Ryan

language: en

Publisher: Springer

Release Date: 2019-02-26


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This book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended. The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibilityand applications of both approaches. Most of the code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.

Intelligent Computing


Intelligent Computing

Author: Kohei Arai

language: en

Publisher: Springer

Release Date: 2019-06-22


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This book presents the proceedings of the Computing Conference 2019, providing a comprehensive collection of chapters focusing on core areas of computing and their real-world applications. Computing is an extremely broad discipline, encompassing a range of specialized fields, each focusing on particular areas of technology and types of application, and the conference offered pioneering researchers, scientists, industrial engineers, and students from around the globe a platform to share new ideas and development experiences. Providing state-of-the-art intelligent methods and techniques for solving real- world problems, the book inspires further research and technological advances in this important area.