{
"item_title" : "Wavelets",
"item_author" : [" Jean-Michel Combes", "Alexander Grossmann", "Philippe Tchamitchian "],
"item_description" : "Time-frequency methods and phase space are well known to most physicists, engineers and mathematicians as is the traditional Fourier analysis. Recently the latter found for quite a few applications a competitor in the concept of wavelets. Crudely speaking a wavelet decomposition is an expansion of an arbitrary function into smooth localized contributions labeled by a scale and a position parameter.",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/54/053/014/3540530142_b.jpg",
"price_data" : {
"retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Wavelets : Time-Frequency Methods and Phase Space Proceedings of the International Conference, Marseille, France, December 14-18, 1987
Overview
Time-frequency methods and phase space are well known to most physicists, engineers and mathematicians as is the traditional Fourier analysis. Recently the latter found for quite a few applications a competitor in the concept of wavelets. Crudely speaking a wavelet decomposition is an expansion of an arbitrary function into smooth localized contributions labeled by a scale and a position parameter.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783540530145
- ISBN-10: 3540530142
- Publisher: Springer
- Publish Date: December 1990
- Dimensions: 9.54 x 6.83 x 0.8 inches
- Shipping Weight: 1.29 pounds
- Page Count: 331
Related Categories
