Digital Signal Processing An Experimental Approach
Digital Signal Processing is a mathematically rigorous but accessible treatment of digital signal processing that intertwines basic theoretical techniques with hands-on laboratory instruction. Divided into three parts, the book covers various aspects of the digital signal processing (DSP) "prob...
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| Format: | eBook |
| Language: | English |
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London
Springer London
2008, 2008
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| Edition: | 1st ed. 2008 |
| Series: | Signals and Communication Technology
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- The Analysis of Discrete-time Signals
- Understanding Sampling
- Signal Reconstruction
- Time-limited Functions Are Not Band-limited
- Fourier Analysis and the Discrete Fourier Transform
- Windowing
- Signal Generation with the Help of MATLAB
- The Spectral Analysis of Random Signals
- Analog to Digital and Digital to Analog Converters
- The General Structure of Sampled-data Systems
- The Operational Amplifier: An Overview
- A Simple Digital to Analog Converter
- The Binary Weighted DAC
- The R-2R Ladder DAC
- The Successive Approximation Analog to Digital Converter
- The Single- and Dual-slope Analog to Digital Converters
- The Pipelined A/D
- Resistor-chain Converters
- Sigma-Delta Converters
- Digital Filters
- Discrete-time Systems and the Z-transform
- Filter Types
- When to Use C (Rather than Assembly Language)
- Two Simple FIR Filters
- Very-narrow-band Filters
- Design of IIR Digital Filters: The Old-fashioned Way
- New Filters from Old
- Implementing an IIR Digital Filter
- IIR Filter Design Using MATLAB
- Group Delay and Phase Delay in Filters
- Design of FIR Filters
- Implementing a Hilbert Filter
- The Goertzel Algorithm