Tag: Wavelet

Free Download Discrete Fourier And Wavelet Transforms:
An Introduction Through Linear Algebra With Applications To Signal Processing
English | 2016 | ISBN: 9814725765 | 301 Pages | PDF (True) | 3 MB

Free Download Wavelet Methods in Mathematical Analysis and Engineering
English | 2010 | ISBN: 9814322865 | 190 Pages | PDF (True) | 41 MB
This book gives a comprehensive overview of both the fundamentals of wavelet analysis and related tools, and of the most active recent developments towards applications. It offers a state-of-the-art in several active areas of research where wavelet ideas, or more generally multiresolution ideas have proved particularly effective.The main applications covered are in the numerical analysis of PDEs, and signal and image processing. Recently introduced techniques such as Empirical Mode Decomposition (EMD) and new trends in the recovery of missing data, such as compressed sensing, are also presented. Applications range for the reconstruction of noisy or blurred images, pattern and face recognition, to nonlinear approximation in strongly anisotropic contexts, and to the classification tools based on multifractal analysis.

Free Download Wavelet Audio GROTH v1.1.0 KONTAKT
KONTAKT | Update ONLY – 1,28 GB | FULL – 11,92 GB
The sound of GROTH evokes the atmosphere of mystical old northern gods, ancient cultural traditions, burial mounds, and rugged forests suspended in frost. This toolbox draws on rich and diverse traditions of folk music rooted in the depths of our past.

Free Download Lixiang Xu Yuan Yan Tang, "Wavelet Theory Approach to Pattern Recognition"
English | ISBN: 9811284040 | 2024 | 564 pages | PDF
| 41 MB

Free Download Wavelet Theory Approach to Pattern Recognition
English | 2025 | ISBN: 9811284040 | 563 Pages | PDF (True) | 41 MB
This 3rd edition tackles the basic principle of deep learning as well as the application of combination of wavelet theory with deep learning to pattern recognition. Five new chapters related to the combination of wavelet theory and deep learning are added with many novel research results.

Free Download Tao Qian, Mang I. Vai, Yuesheng Xu, "Wavelet Analysis and Applications"
English | 2006 | pages: 564 | ISBN: 3764377771 | PDF | 13,1 mb
This volume reflects the latest developments in the area of wavelet analysis and its applications. Since the cornerstone lecture of Yves Meyer presented at the ICM 1990 in Kyoto, to some extent, wavelet analysis has often been said to be mainly an applied area. However, a significant percentage of contributions now are connected to theoretical mathematical areas, and the concept of wavelets continuously stretches across various disciplines of mathematics.

Free Download Wavelet Audio Secunda KONTAKT | 6 GB
Introducing Secunda, a massive toolkit for Kontakt Player based on the mysticism of throat singing that dives into the foggy veil of distant realms. Graced by the presence of the Emperor’s army, Secunda is saturated with the raw, pure power of the human voice. It adds spice to the sound and invites to dive into a vast palette of throat singing, rich in organic textures, ancient vocal harmonics, and massive sonic storytelling instruments.

Free Download Wavelet Analysis in Civil Engineering by Pranesh Chatterjee
English | 2015 | ISBN: 148221055X | 224 Pages | PDF | 16.4 MB
The principles of wavelets can be applied to a range of problems in civil engineering structures, such as earthquake-induced vibration analysis, bridge vibrations, and damage identification.

Free Download Wavelet Analysis – Applications with Wolfram Language
Released 1/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 51m | Size: 121 MB
This course presents examples from a variety of wavelet analysis applications in the Wolfram Language, including financial time series, edge detection and denoising of images, thresholding, image and data compression, and image fusion. Familiarity with Fourier transforms and data smoothing methods is recommended for this class. Learn to analyze a time series using wavelets for detecting discontinuities, isolating peaks and inspecting nonstationary behavior; apply wavelet analysis to financial data; detect edges and discontinuities in images and other two-dimensional data; reduce noise in images by removing higher-frequency components; and more.

Free Download Wavelet Analysis – Concepts with Wolfram Language
Released 1/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 49m | Size: 106 MB
Wavelets decompose a signal into approximations and details at different scales, making them useful for applications such as data compression, detecting features and removing noise from signals. This course from Wolfram Research explains some of the theory behind continuous, discrete, and stationary wavelet transforms and demonstrates how the Wolfram Language and its built-in functions can be used to construct, compute, visualize, and analyze wavelet transforms and related functions.