Description
Book SynopsisSeparate signals from noise with this valuable introduction to signal processing by applied decomposition
The decomposition of complex signals into their sub-signals or individual components is a crucial tool in signal processing. It allows each component of a signal to be analyzed individually and enables the signal to be isolated from noise and processed in full. Decomposition processes have not always been widely adopted due to the difficult underlying mathematics and complex applications. This text simplifies these obstacles.
Signal Processing: An Applied Decomposition Approach demystifies these tools with a model-based perspective. Addressing each major decomposition approach in turn, it offers a mathematically-informed step-by-step analysis of the process by which it breaks a composite signal/system down into its constituent parts. Introducing both fundamental concepts and advanced applications, it is an indispensable addition to any library regarding signa
