
{"id":42804,"date":"2024-10-07T14:55:52","date_gmt":"2024-10-07T14:55:52","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%aa%d9%88%d8%b1-%d9%85%d9%88%d8%ac%da%a9-%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4-%d8%b3%db%8c%da%af%d9%86%d8%a7%d9%84\/"},"modified":"2024-10-07T11:26:33","modified_gmt":"2024-10-07T11:26:33","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d8%aa%d9%88%d8%b1-%d9%85%d9%88%d8%ac%da%a9-%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4-%d8%b3%db%8c%da%af%d9%86%d8%a7%d9%84","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%aa%d9%88%d8%b1-%d9%85%d9%88%d8%ac%da%a9-%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4-%d8%b3%db%8c%da%af%d9%86%d8%a7%d9%84\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u062a\u0648\u0631 \u0645\u0648\u062c\u06a9 \u067e\u0631\u062f\u0627\u0632\u0634 \u0633\u06cc\u06af\u0646\u0627\u0644"},"content":{"rendered":"<p>&nbsp;<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/10\/9780123743701.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way\" \/><\/div>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\n<h3>\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n<td>\n<h3>A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2008\u00a0\u00a0|\u00a0\u00a0832 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 16 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\n<td>Stephane Mallat<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0627\u0634\u0631<\/td>\n<td>Academic Press<\/td>\n<\/tr>\n<tr>\n<td>ISBN10:<\/td>\n<td>0123743702<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9780123743701<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n<div style=\"direction: ltr;\">Mallat&#8217;s book is the undisputed reference in this field &#8211; it is the only one that covers the essential material in such breadth and depth. &#8211; Laurent Demanet, Stanford UniversityThe new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today&#8217;s signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications.Features:* Balances presentation of the mathematics with applications to signal processing* Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox* Companion website for instructors and selected solutions and code available for studentsNew in this edition* Sparse signal representations in dictionaries* Compressive sensing, super-resolution and source separation* Geometric image processing with curvelets and bandlets* Wavelets for computer graphics with lifting on surfaces* Time-frequency audio processing and denoising* Image compression with JPEG-2000* New and updated exercisesA Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R&amp;D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering.Stephane Mallat is Professor in Applied Mathematics at \u00c9cole Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company.Companion website: A Numerical Tour of Signal Processing<br \/>\nIncludes all the latest developments since the book was published in 1999, including itsapplication to JPEG 2000 and MPEG-4<br \/>\nAlgorithms and numerical examples are implemented in Wavelab, a MATLAB toolbox<br \/>\nBalances presentation of the mathematics with applications to signal processing<\/div>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u06a9\u062a\u0627\u0628 \u0645\u0644\u0627\u062a \u0645\u0631\u062c\u0639 \u063a\u06cc\u0631\u0642\u0627\u0628\u0644 \u0627\u0646\u06a9\u0627\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u0632\u0645\u06cc\u0646\u0647 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\u062a\u0635\u0648\u06cc\u0631 \u060c \u067e\u0631\u062f\u0627\u0632\u0634 \u0641\u06cc\u0644\u0645 \u0648 \u0641\u0634\u0631\u062f\u0647 \u0633\u0627\u0632\u06cc \u060c \u062d\u0631\u06a9\u0627\u062a \u0632\u06cc\u0633\u062a\u06cc \u060c \u062a\u0635\u0648\u06cc\u0631\u0628\u0631\u062f\u0627\u0631\u06cc \u067e\u0632\u0634\u06a9\u06cc \u060c \u0628\u06cc\u0646\u0627\u06cc\u06cc \u062f\u0633\u062a\u06af\u0627\u0647 \u0648 \u0645\u0647\u0646\u062f\u0633\u06cc \u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0647\u0633\u062a\u0646\u062f. Stephane Mallat \u0627\u0633\u062a\u0627\u062f \u0631\u06cc\u0627\u0636\u06cc\u0627\u062a \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u062f\u0631 Polytechnique \u00e9cole \u060c \u067e\u0627\u0631\u06cc\u0633 \u060c \u0641\u0631\u0627\u0646\u0633\u0647 \u0627\u0633\u062a\u0628\u0634\u0631\u0627\u0632 \u0633\u0627\u0644 1986 \u062a\u0627 1996 \u0627\u0648 \u0627\u0633\u062a\u0627\u062f \u0645\u0624\u0633\u0633\u0647 \u0639\u0644\u0648\u0645 \u0631\u06cc\u0627\u0636\u06cc \u06a9\u0648\u0631\u0627\u0646\u062a \u062f\u0631 \u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0646\u06cc\u0648\u06cc\u0648\u0631\u06a9 \u0628\u0648\u062f \u0648 \u0628\u06cc\u0646 \u0633\u0627\u0644\u0647\u0627\u06cc 2001 \u062a\u0627 2007 \u060c \u0648\u06cc \u0628\u0646\u06cc\u0627\u0646\u06af\u0630\u0627\u0631\u06cc \u0648 \u0645\u062f\u06cc\u0631\u0639\u0627\u0645\u0644 \u06cc\u06a9 \u0634\u0631\u06a9\u062a \u0646\u06cc\u0645\u0647 \u0647\u0627\u062f\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631 \u0648\u0628 \u0633\u0627\u06cc\u062a: \u06cc\u06a9 \u062a\u0648\u0631 \u0639\u062f\u062f\u06cc \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0633\u06cc\u06af\u0646\u0627\u0644 \u0634\u062f<br \/>\n\u0634\u0627\u0645\u0644 \u0622\u062e\u0631\u06cc\u0646 \u062a\u062d\u0648\u0644\u0627\u062a \u0627\u0632 \u0632\u0645\u0627\u0646 \u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u062f\u0631 \u0633\u0627\u0644 1999 \u060c \u0627\u0632 \u062c\u0645\u0644\u0647 ITSAPPLICATION \u0628\u0647 JPEG 2000 \u0648 MPEG-4<br \/>\n\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627 \u0648 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0639\u062f\u062f\u06cc \u062f\u0631 Wavelab \u060c \u06cc\u06a9 \u062c\u0639\u0628\u0647 \u0627\u0628\u0632\u0627\u0631 MATLAB \u0627\u062c\u0631\u0627 \u0645\u06cc \u0634\u0648\u0646\u062f<br \/>\n\u062a\u0639\u0627\u062f\u0644 \u0631\u06cc\u0627\u0636\u06cc\u0627\u062a \u0628\u0627 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u067e\u0631\u062f\u0627\u0632\u0634 \u0633\u06cc\u06af\u0646\u0627\u0644<br \/>\n<br \/>\r\n<table class=\"table table-bordered\">\r\n\t\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u0627\u0633\u062a \u0648 \u0646\u0647 \u06a9\u062a\u0627\u0628 \u06a9\u0627\u063a\u0630\u06cc.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u0628\u0647 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f \u0628\u0647 \u0632\u0628\u0627\u0646 \u062f\u0631\u062c \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628 \u062d\u062a\u0645\u0627 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0639\u0645\u0648\u0644 \u062f\u0631 \u0627\u06a9\u062b\u0631 \u0645\u0648\u0627\u0631\u062f \u0632\u0628\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0641\u0627\u0631\u0633\u06cc \u0646\u06cc\u0633\u062a.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631 \u0635\u0648\u0631\u062a \u0647\u0631\u06af\u0648\u0646\u0647 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 09395106248 \u067e\u06cc\u0627\u0645\u06a9 \u062f\u0647\u06cc\u062f. \r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\t\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u0636\u0631\u0648\u0631\u06cc \u0646\u06cc\u0633\u062a \u0648\u0644\u06cc \u062a\u0631\u062c\u06cc\u062d \u0622\u0646 \u0627\u0633\u062a \u062f\u0631\u062c \u06af\u0631\u062f\u062f \u062a\u0627 \u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u0627\u0648\u0644\u06cc\u0646 \u0631\u0627\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u0645\u0627 \u0628\u0627 \u0634\u0645\u0627 \u0628\u0627\u0634\u062f.\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\t\t\t\u0686\u0646\u0627\u0646\u0686\u0647 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0647\u0631 \u062f\u0644\u06cc\u0644\u06cc \u0628\u0627 \u0645\u0634\u06a9\u0644 \u0631\u0648\u0628\u0631\u0648 \u0634\u062f\u06cc\u062f \u0648 \u0645\u0637\u0645\u0626\u0646 \u0627\u0632 \u067e\u0631\u062f\u0627\u062e\u062a \u0645\u0648\u0641\u0642 \u0648\u062c\u0647 \u0647\u0633\u062a\u06cc\u062f \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633 \u0632\u06cc\u0631 \u0646\u0627\u0645\u060c \u0646\u0627\u0645 \u062e\u0627\u0646\u0648\u0627\u062f\u06af\u06cc \u0648 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0631\u0627 \u067e\u06cc\u0627\u0645\u06a9 \u0628\u0632\u0646\u06cc\u062f \u062a\u0627 \u0644\u06cc\u0646\u06a9 \u0645\u062d\u0635\u0648\u0644 \u0633\u0631\u06cc\u0639\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0627\u0631\u0633\u0627\u0644 \u06af\u0631\u062f\u062f.\r\n\t\t\t<br \/><br \/>\r\n\t\t\t\u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633: 09395106248 \r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n<\/table>\r\n<br \/>\r\n\r\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; \u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way \u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2008\u00a0\u00a0|\u00a0\u00a0832 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 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