Simple and Field Rate-based Relation through Localized Functions and Multi-function Localized Functions - Maxime Léon
-35% koodilla BOOKS
Toimitus 15-21 arkipäivässä
30 päivän palautusoikeus
The "Wavelet" or "Ondelettes" was introduced by Jean Morlet, a French geophysicist who was working with an oil company. The main reasons of the discovery of wavelet and wavelet transform is that the Fourier transform analysis cannot analyze the signal in both time and frequency domains. The Fourier analysis is ideal for studying stationary data but is not well suited for studying data with transient events. ... Täydellinen kuvaus
Saatat myös pitää
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
How To Think About AI: A Guide For The Perplexed
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
AI Engineering: Building Applications with Foundation Models
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
How to Talk to AI: (And How Not To)
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Art of Game Design: A Book of Lenses
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
How Linux Works: What Every Superuser Should Know
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Hands-On Large Language Models: Language Understanding and Generation
Maarten Grootendorst, Jay Alammar
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Clean Architecture: A Craftsman's Guide to Software Structure and Design
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
World of Warcraft Chronicle, Volume 2
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Deep Learning: Foundations and Concepts
Christopher M. Bishop, Hugh Bishop
-35% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
The "Wavelet" or "Ondelettes" was introduced by Jean Morlet, a French geophysicist who was working with an oil company. The main reasons of the discovery of wavelet and wavelet transform is that the Fourier transform analysis cannot analyze the signal in both time and frequency domains. The Fourier analysis is ideal for studying stationary data but is not well suited for studying data with transient events. Wavelets were designed with such disadvantage of Fourier transform in mind. So, the main advantage of the wavelet transform is its possibility to analyze the signal in both time and frequency domains. For the analysis of nonstationary signals, Jean Morlet introduced the idea of wavelets as a family of functions constructed by using the translation and dilation of a single function, called mother wavelet. The concept of wavelet can be viewed as a synthesis of ideas which originated during the last thirty-four years in engineering (sub-band coding), physics (coherent states), and pure mathematics (the study of colderson-zeygmund operators). Wavelet analysis with their characteristic properties has been many new methods for solving difficult problems. Which arising in many diverse fields such as mathematics, engineering, physics, biological signal analysis (EEG, EKG), data compression, denoising, source and channel coding, analysis of seismic activity and prediction of earthquakes, analysis of sounds, multidimensional signal analysis together with data compression often applied to image processing as specific representative, financial data analysis, analysis and attempts to predict the behavior of stock market, the detection of aircraft and submarines, these all things denote the capabilities and applicability of wavelets and wavelet transforms in the future.
Lisätietoja
| Kirjoittaja | Maxime Léon |
|---|---|
| Julkaisija | Independent Publisher |
| Julkaisuvuosi | 2025 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9798231548033 |