Addiction 发表于 2025-3-21 18:42:12

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险代理人 发表于 2025-3-21 20:42:23

Basic Smoothing Techniques,the existing techniques in use. Though there are many methods currently in use for these applications, this chapter will focus on only two of them: kernel smoothing and orthogonal series estimation. This background should provide a useful lead-in to a discussion of wavelet methods for function estim

公理 发表于 2025-3-22 01:25:12

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蛙鸣声 发表于 2025-3-22 08:25:19

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权宜之计 发表于 2025-3-22 12:23:01

Some Practical Issues,than as a powerful method for solving practical problems. In fact, much of the beauty of wavelet analysis lies in its widespread applications. This chapter will discuss important issues that arise in moving wavelets from theory to practice.

glowing 发表于 2025-3-22 13:36:34

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glowing 发表于 2025-3-22 20:31:29

Data Adaptive Wavelet Thresholding,where Section 7.1 left off, focusing on the nonparametric regression situation. The ideas described here could also be adapted for use in density estimation or other types of function estimation. To focus attention on the methods described in this chapter, it will be assumed throughout that an ortho

Discrete 发表于 2025-3-22 21:51:15

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analogous 发表于 2025-3-23 04:22:05

Essential Wavelets for Statistical Applications and Data Analysis

NOVA 发表于 2025-3-23 07:54:24

Essential Wavelets for Statistical Applications and Data Analysis978-1-4612-0709-2
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查看完整版本: Titlebook: Essential Wavelets for Statistical Applications and Data Analysis; R. Todd Ogden Book 1997 Springer Science+Business Media New York 1997 E