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Mathematical Transformations and Wavelet Filters for Source Coding and Signal Processing Systems [electronic resource] / by William A. Pearlman.

By: Pearlman, William A [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Signal Processing: Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: XI, 70 p. 16 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031346842.Subject(s): Signal processing | Mathematics | Computer science -- Mathematics | Computer science | Signal, Speech and Image Processing | Applications of Mathematics | Digital and Analog Signal Processing | Mathematics of Computing | Computer Science | MathematicsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction -- The Optimal Karhunen-Loeve Transform -- Suboptimal Transforms -- Lapped Orthogonal Transform -- Transforms via Filter Banks -- Two-Dimensional Transforms for Images -- Subband Transforms -- Concluding Remarks -- Problems.
In: Springer Nature eBookSummary: This book teaches the fundamentals and mathematical formulas of reversible transformations (or transforms) that are used in many source coding and signal processing systems. These mathematical transforms are often necessary or crucial toward reduction of data storage and transmission rate requirements. The author emphasizes the wavelet transform as it is the preferred transform for practical application in many coding and signal processing systems. The book also covers the tap (coefficient) values for some of those filters that satisfy the perfect reconstruction property. Examples of the use of filter-based and matrix-based transforms are also provided. This self-contained work contains insight gained through research and practice, which makes it a valuable reference and tutorial for readers interested in the subject of mathematical transforms. This book: Teaches the fundamentals and mathematical formulas of reversible transformations, as well as their applications Highlights the wavelet transformation, which is the preferred transform for many practical applications Contains insight gained through research and practice, making it a valuable resource those interested in the topic.
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Introduction -- The Optimal Karhunen-Loeve Transform -- Suboptimal Transforms -- Lapped Orthogonal Transform -- Transforms via Filter Banks -- Two-Dimensional Transforms for Images -- Subband Transforms -- Concluding Remarks -- Problems.

This book teaches the fundamentals and mathematical formulas of reversible transformations (or transforms) that are used in many source coding and signal processing systems. These mathematical transforms are often necessary or crucial toward reduction of data storage and transmission rate requirements. The author emphasizes the wavelet transform as it is the preferred transform for practical application in many coding and signal processing systems. The book also covers the tap (coefficient) values for some of those filters that satisfy the perfect reconstruction property. Examples of the use of filter-based and matrix-based transforms are also provided. This self-contained work contains insight gained through research and practice, which makes it a valuable reference and tutorial for readers interested in the subject of mathematical transforms. This book: Teaches the fundamentals and mathematical formulas of reversible transformations, as well as their applications Highlights the wavelet transformation, which is the preferred transform for many practical applications Contains insight gained through research and practice, making it a valuable resource those interested in the topic.

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