Paulo S.R. Diniz,
Paulo S.R. S. R. Diniz
Signal Processing and Machine Learning Theory
Paperback Engels 2023 9780323917728
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc.
Specificaties
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Inhoudsopgave
1. Introduction to Signal Processing and Machine Learning Theory<br>2. Continuous-Time Signals and Systems<br>3. Discrete-Time Signals and Systems<br>4. Random Signals and Stochastic Processes<br>5. Sampling and Quantization<br>6. Digital Filter Structures and Their Implementation<br>7. Multi-rate Signal Processing for Software Radio Architectures<br>8. Modern Transform Design for Practical Audio/Image/Video Coding Applications<br>9. Discrete Multi-Scale Transforms in Signal Processing<br>10. Frames in Signal Processing<br>11. Parametric Estimation<br>12. Adaptive Filters<br>13. Signal Processing over Graphs<br>14. Tensors for Signal Processing and Machine Learning<br>15. Non-convex Optimization for Machine Learning<br>16. Dictionary Learning and Sparse Representation
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