Signal processing for intelligent sensor systems with MATLAB
Part I: Fundamentals of Digital Signal ProcessingSampled Data SystemsA/D ConversionSampling TheoryComplex Bandpass SamplingDelta-Sigma Analog ConversionZ-TransformComparison of Laplace and z-TransformsSystem TheoryMapping of s-Plane Systems to the Digital DomainDigital FilteringFIR Digital Filter De...
| Autor principal: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, Fla. :
CRC Press
2012.
|
| Edición: | 2nd ed |
| Colección: | Signal processing and communications Signal processing for intelligent sensor networks with MATLAB
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629844206719 |
Tabla de Contenidos:
- Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1: Sampled Data Systems; Chapter 2: z-Transform; Chapter 3: Digital Filtering; Chapter 4: Digital Audio Processing; Chapter 5: Linear Filter Applications; Chapter 6: Fourier Transform; Chapter 7: Spectral Density; Chapter 8: Wavenumber Transforms; Chapter 9: Linear Least-Squared Error Modeling; Chapter 10: Recursive Least-Squares Techniques; Chapter 11: Recursive Adaptive Filtering; Chapter 12: Signal Detection Techniques; Chapter 13: Wavenumber and Bearing Estimation; Chapter 14: Adaptive Beamforming and Localization
- Chapter 15: Noise Reduction TechniquesChapter 16: Sensors and Transducers; Chapter 17: Intelligent Sensor Systems; Back Cover
