{"product_id":"9781394218622","title":"Topics in Applied Signal Processing with MATLAB","description":"\u003ch1\u003eTopics in Applied Signal Processing with MATLAB\u003c\/h1\u003e \u003ch2\u003eDavila, Carlos E.\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eToolbox of signal analysis techniques with MATLAB problems and solutions, bridging the gap between signal processing and data science\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eTopics in Applied Signal Processing with MATLAB\u003c\/i\u003e offers readers powerful tools for analyzing data, forecasting trends, and identifying features useful in machine learning via datasets with MATLAB examples, plus theoretical and MATLAB problems. The book's chapters include signal analysis, Fourier spectral and nonlinear signal analysis, neural networks, and other techniques used in machine learning. The book also provides a chapter dedicated to Linear Time-Invariant Filtering, and reviews emerging trends and challenges.  \u003c\/p\u003e\u003cp\u003eThe Author also includes information on: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eAnalog filter design, impulse invariance and bilinear transformation IIR filter design, and filter implementation\u003c\/li\u003e \u003cli\u003ePower spectral density, periodogram, spectral windows, averaged periodograms, and the Welch method\u003c\/li\u003e \u003cli\u003eParametric spectral analysis and modeling, covering autoregressive (AR), autoregressive with exogenous inputs (ARX), moving average (MA), and autoregressive moving average (ARMA) models\u003c\/li\u003e \u003cli\u003eThe discrete wavelet transform, covering vector spaces, norms, and projections, Mallat's algorithm, and perfect reconstruction filter banks\u003c\/li\u003e \u003cli\u003eTime-frequency methods, covering the uncertainty principle, quadratic time frequency representations, and the continuous wavelet transform\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eTopics in Applied Signal Processing with MATLAB\u003c\/i\u003e is a powerful toolbox for graduate students and professionals working to an advanced level in the signal processing space, with required pre-requisites including knowledge of signal processing, statistics, and calculus.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Wiley-IEEE Press\u003c\/p\u003e \u003cp\u003ePublication Date: 2027-06-01\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9781394218622\u003c\/p\u003e \u003cp\u003eDOI: \u003c\/p\u003e \u003cp\u003eDimensions: cm xcm\u003c\/p\u003e \u003cp\u003ePages: \u003c\/p\u003e ","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44452151918732,"sku":"9781394218622","price":130.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394218622.jpg?v=1776342868","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781394218622","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}