Academic Press Library in Signal Processing, 1st Edition

  • Volume 1
  • Published By:
  • ISBN-10: 0123972264
  • ISBN-13: 9780123972262
  • DDC: 621.3822
  • Grade Level Range: College Freshman - College Senior
  • 1480 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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This first volume of a four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
About the Editors.
Section Editors.
Authors Biography.
1: Signal Processing Theory.
2: Introduction to Signal Processing Theory.
3: Continuous-Time Signals and Systems.
4: Discrete-Time Signals and Systems.
5: Random Signals and Stochastic Processes.
6: Sampling and Quantization.
7: Digital Filter Structures and Their Implementation.
8: Multirate Signal Processing for Software Radio Architectures.
9: Modern Transform Design for Practical Audio/Image/video Coding Applications.
10: Discrete Multi-Scale Transforms in Signal Processing.
11: Frames in Signal Processing.
12: Parametric Estimation.
13: Adaptive Filters.
14: Machine Learning.
15: Introduction to Machine Learning.
16: Learning Theory.
17: Neural Networks.
18: Kernel Methods and Support Vector Machines.
19: Online Learning in Reproducing Kernel Hilbert Spaces.
20: Introduction to Probabilistic Graphical Models.
21: A Tutorial Introduction to Monte Carlo Methods, Markov Chain Monte Carlo and Particle Filtering.
22: Clustering.
23: Unsupervised Learning Algorithms and Latent Variable Models: PCA/SVD, CCA/PLS, ICA, NMF, Etc..
24: Semi-Supervised Learning.
25: Sparsity-Aware Learning and Compressed Sensing: An Overview.
26: Information Based Learning.
27: A Tutorial on Model Selection.
28: Music Mining.