Model-Based Deep Learning (Foundations and Trends® in Signal Processing) - Image 1

Out of stock

This item is currently unavailable

Model-Based Deep Learning (Foundations and Trends® in Signal Processing)

Higher Education

Out of stock

Price data last checked 21 day(s) ago - will refresh soon

View at Amazon

One email. No newsletter. No nudges.

Out of stock for 26 days. The last 3 returns each lasted under a day — get on the list.

Out of stock 26 days · last price £175 · usually back within 14 days

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 70 days · 70 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 70 days • 5 price levels

Days at Price

Current Price

Price Analysis

Most common price: £175 (17 days, 24.3%)

Price range: £97 - £175

Price levels: 5 different prices over 70 days

Description

Signal processing traditionally relies on classical statistical modelling techniques. Such model-based methods utilise mathematical formulations that represent the underlying physics, prior information and additional domain knowledge. Simple classical models are useful but sensitive to inaccuracies and may lead to poor performance when real systems display complex or dynamic behaviour. More recently, deep learning approaches that use highly parametric deep neural networks (DNNs) are becoming increasingly popular. Deep learning systems do not rely on mathematical modelling, and learn their mapping from data, which allows them to operate in complex environments. However, they lack the interpretability and reliability of model-based methods, typically require large training sets to obtain good performance, and tend to be computationally complex. Model-based signal processing methods and data-centric deep learning each have their pros and cons. These paradigms can be characterised as edges of a continuous spectrum varying in specificity and parameterisation. The methodologies that lie in the middle ground of this spectrum, thus integrating model-based signal processing with deep learning, are referred to as model-based deep learning, and are the focus here. This monograph provides a tutorial style presentation of model-based deep learning methodologies. These are families of algorithms that combine principled mathematical models with data-driven systems to benefit from the advantages of both approaches. Such model-based deep learning methods exploit both partial domain knowledge, via mathematical structures designed for specific problems, as well as learning from limited data. The monograph includes running signal processing examples, in super-resolution, tracking of dynamic systems, and array processing. It is shown how they are expressed using the provided characterisation and specialised in each of the detailed methodologies. The aim is to facilitate the design and study of future systems at the intersection of signal processing and machine learning that incorporate the advantages of both domains. The source code of the numerical examples are available and reproducible as Python notebooks.

Product Specifications

Format: paperback
ASIN: 1638282641
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Education > Higher Education
Domain: Amazon UK
Release Date: 21 August 2023
Listed Since: 23 August 2023

Barcode

No barcode data available

Model-Based Deep Learning (Foundations and Trends® in Signal Processing)

Out of stock for 26 days. The last 3 returns each lasted under a day — get on the list.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Advances in Signal Processing and Intelligent Recognition Systems: 264 (Advances in Intelligent Systems and Computing, 264)

Machine Learning Methods for Signal, Image and Speech Processing

Digital Signal Processing Using MATLAB

Machine Learning Methods for Signal, Image and Speech Processing (River Publishers Series in Signal, Image and Speech Processing)

Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals

Digital Signal Processing: A Practitioner's Approach

Mathematical Summary for Digital Signal Processing Applications with Matlab

SIGNAL PROCESSING NEW RESEARCH (Engineering Tools, Techniques and Tables)

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing

Practical Signal Processing And Its Applications: With Solved Homework Problems: 17 (Advanced Series in Electrical & Computer Engineering)

Nonlinear Signal and Image Processing: Theory, Methods, and Applications: 14 (Electrical Engineering & Applied Signal Processing Series)

Adaptive Signal Processing: Next Generation Solutions: 55 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Digital Signal Processing with Matlab Examples, Volume 1: Signals and Data, Filtering, Non-stationary Signals, Modulation (Signals and Communication Technology)

Pattern Recognition and Data Analysis with Applications: 888 (Lecture Notes in Electrical Engineering, 888)

Digital and Statistical Signal Processing

Wiley Signals and Systems Textbook with Python Code Examples

Advanced Signal Processing: A Concise Guide

Analog and Digital Signal Processing