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This book is Volume I of the series DSP for MATLAB(TM) and LabVIEW(TM). The entire series consists of four volumes that collectively cover basic digit...Lees meer
This book is designed for use as a textbook for a one semester Signals and Systems class. It is sufficiently user friendly to be used for self study a...Lees meer
This book is intended to fill the gap between the "ideal precision" digital signal processing (DSP) that is widely taught, and the limited precision i...Lees meer
In these notes, we introduce particle filtering as a recursive importance sampling method that approximates the minimum-mean-square-error (MMSE) estim...Lees meer
Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses ...Lees meer
This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners...Lees meer
A typical undergraduate electrical engineering curriculum incorporates a signals and systems course. The widely used approach for the laboratory compo...Lees meer
This book is Volume IV of the series DSP for MATLAB(TM) and LabVIEW(TM). Volume IV is an introductory treatment of LMS Adaptive Filtering and applicat...Lees meer
Linear prediction theory has had a profound impact in the field of digital signal processing. Although the theory dates back to the early 1940s, its i...Lees meer
Linear algebra is one of the most basic foundations of a wide range of scientific domains, and most textbooks of linear algebra are written by mathema...Lees meer
This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners...Lees meer
This book is intended to fill the gap between the ""ideal precision"" digital signal processing (DSP) that is widely taught, and the limited precision...Lees meer
Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new typ...Lees meer
A typical undergraduate electrical engineering curriculum incorporates a signals and systems course. The widely used approach for the laboratory compo...Lees meer
This book is Volume II of the series DSP for MATLAB(TM) and LabVIEW(TM). This volume provides detailed coverage of discrete frequency transforms, incl...Lees meer
This short book is for students, professors and professionals interested in signal processing of seismic data using MATLAB(TM). The step-by-step demo ...Lees meer
This book is designed for use as a textbook for a one semester Signals and Systems class. It is sufficiently user friendly to be used for self study a...Lees meer
Intends to present advances in the design of tunable detectors and focuses on the so-called two-stage detectors - adaptive algorithms obtained cascadi...Lees meer
Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new typ...Lees meer
This book is Volume IV of the series DSP for MATLAB(TM) and LabVIEW(TM). Volume IV is an introductory treatment of LMS Adaptive Filtering and applicat...Lees meer
This book is Volume III of the series DSP for MATLAB(TM) and LabVIEW(TM). Volume III covers digital filter design, including the specific topics of FI...Lees meer
This book teaches the fundamentals and mathematical formulas of reversible transformations (or transforms) that are used in many source coding and sig...Lees meer
Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses ...Lees meer
This book is Volume III of the series DSP for MATLAB(TM) and LabVIEW(TM). Volume III covers digital filter design, including the specific topics of FI...Lees meer