Signals, systems and inference
Material type: TextPublication details: Noida Pearson India Education Services Pvt Ltd 2022Description: 604pISBN:- 9789356064676 (pbk.)
- 621.3822 OPP
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | Plaksha University Library | Physics | 621.3822 OPP (Browse shelf(Opens below)) | Available | 004741 | ||
Book | Plaksha University Library | Physics | 621.3822 OPP (Browse shelf(Opens below)) | Available | 004742 |
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621.381092 HUA The hardware hacker : adventures in making and breaking hardware | 621.38173 MIL Microelectronics | 621.3822 OPP Signals, systems and inference | 621.3822 OPP Signals, systems and inference | 621.38412 HAG Radio frequency electronics : circuits and applications | 621.4356 TAY Introduction to rocket science and engineering |
"For upper-level undergraduate courses in deterministic and stochastic signals and system engineering
An Integrative Approach to Signals, Systems and Inference Signals, Systems and Inference is a comprehensive text that builds on introductory courses in time- and frequency-domain analysis of signals and systems, and in probability. Directed primarily to upper-level undergraduates and beginning graduate students in engineering and applied science branches, this new textbook pioneers a novel course of study. Instead of the usual leap from broad introductory subjects to highly specialized advanced subjects, this engaging and inclusive text creates a study track for a transitional course. Properties and representations of deterministic signals and systems are reviewed and elaborated on, including group delay and the structure and behavior of state-space models.
The text also introduces and interprets correlation functions and power spectral densities for describing and processing random signals. Application contexts include pulse amplitude modulation, observer-based feedback control, optimum linear filters for minimum mean-square-error estimation, and matched filtering for signal detection. Model-based approaches to inference are emphasized, in particular for state estimation, signal estimation, and signal detection. The text explores ideas, methods and tools common to numerous fields involving signals, systems and signal processing, control, communication, time-series analysis, financial engineering, biomedicine, and many others. Signals, Systems, and Inference is a long-awaited and flexible text that can be used for a rigorous course in a broad range of engineering and applied science curricula."
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