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116 tulosta hakusanalla Homayoun Nikookar

Probiotic Ice Cream

Probiotic Ice Cream

Aziz Homayouni-Rad

Wiley-Blackwell
2024
sidottu
Comprehensive resource on probiotics as applied to ice cream and frozen desserts, covering fundamentals, development, technology, and quality control Probiotic Ice Cream is the first book to look at probiotics as applied to ice cream and frozen desserts, covering the whole product development process, from essential fundamentals to formulation and characterization of the final product. Written by a highly qualified specialist with significant research experience in this unique field, Probiotic Ice Cream includes information on: Science of probiotic ice cream, covering principles of probiotics and how to select appropriate probiotic strains for use in ice creamPhysical protection of probiotics in ice cream conditions, as well as nutritional value of functional ice cream for humansTechnology of probiotic ice cream, covering the definition, formulation, and characterization of prebiotic, probiotic, synbiotic and postbiotic ice creamsQuality control, with information on the physico-chemical and rheological properties, sensory properties, and shelf-life evaluation and packaging of probiotic ice cream Probiotic Ice Cream is an authoritative, comprehensive, and one-of-a-kind reference on the subject, ideal for dairy scientists, frozen desserts manufacturers, supermarkets, and food product developers, as well as students in related programs of study.
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Advanced Signal Processing: A Concise Guide

Advanced Signal Processing: A Concise Guide

Amir-Homayoon Najmi; Todd Moon

McGraw-Hill Education
2020
nidottu
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks. This text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting school program for professionals with students from electrical engineering, physics, computer and data science, and mathematics backgrounds. It covers the theory underlying applications in statistical signal processing including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays. Unique among books on the subject, it also includes a comprehensive introduction to modern neural networks with examples in time series prediction and image classification. Coverage includes:Mathematical structures of signal spaces and matrix factorizationslinear time-invariant systems and transformsLeast squares filtersRandom variables, estimation theory, and random processesSpectral estimation and autoregressive signal modelslinear prediction and adaptive filtersOptimal processing of linear arraysNeural networks
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Wavelets

Wavelets

Amir-Homayoon Najmi

Johns Hopkins University Press
2012
sidottu
Introduced nearly three decades ago as a variable resolution alternative to the Fourier transform, a wavelet is a short oscillatory waveform for analysis of transients. The discrete wavelet transform has remarkable multi-resolution and energy-compaction properties. Amir-Homayoon Najmi's introduction to wavelet theory explains this mathematical concept clearly and succinctly. Wavelets are used in processing digital signals and imagery from myriad sources. They form the backbone of the JPEG2000 compression standard, and the Federal Bureau of Investigation uses biorthogonal wavelets to compress and store its vast database of fingerprints. Najmi provides the mathematics that demonstrate how wavelets work, describes how to construct them, and discusses their importance as a tool to investigate and process signals and imagery. He reviews key concepts such as frames, localizing transforms, orthogonal and biorthogonal bases, and multi-resolution. His examples include the Haar, the Shannon, and the Daubechies families of orthogonal and biorthogonal wavelets. Our capacity and need for collecting and transmitting digital data is increasing at an astonishing rate. So too is the importance of wavelets to anyone working with and analyzing digital data. Najmi's primer will be an indispensable resource for those in computer science, the physical sciences, applied mathematics, and engineering who wish to obtain an in-depth understanding and working knowledge of this fascinating and evolving field.
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Wavelets

Wavelets

Amir-Homayoon Najmi

Johns Hopkins University Press
2012
pokkari
Introduced nearly three decades ago as a variable resolution alternative to the Fourier transform, a wavelet is a short oscillatory waveform for analysis of transients. The discrete wavelet transform has remarkable multi-resolution and energy-compaction properties. Amir-Homayoon Najmi's introduction to wavelet theory explains this mathematical concept clearly and succinctly. Wavelets are used in processing digital signals and imagery from myriad sources. They form the backbone of the JPEG2000 compression standard, and the Federal Bureau of Investigation uses biorthogonal wavelets to compress and store its vast database of fingerprints. Najmi provides the mathematics that demonstrate how wavelets work, describes how to construct them, and discusses their importance as a tool to investigate and process signals and imagery. He reviews key concepts such as frames, localizing transforms, orthogonal and biorthogonal bases, and multi-resolution. His examples include the Haar, the Shannon, and the Daubechies families of orthogonal and biorthogonal wavelets. Our capacity and need for collecting and transmitting digital data is increasing at an astonishing rate. So too is the importance of wavelets to anyone working with and analyzing digital data. Najmi's primer will be an indispensable resource for those in computer science, the physical sciences, applied mathematics, and engineering who wish to obtain an in-depth understanding and working knowledge of this fascinating and evolving field.
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