This is a book about digital signal processing noise reduction techniques. The selection of techniques covered is very broad, much more extensive than most books I have seen in this field. Unfortunately, the book has some severe shortcomings. As another reviewer has mentioned, the treatment of each
Advanced Signal Processing and Noise Reduction, 2nd Edition (Electrical Engineering & Applied Signal Processing Series)
โ Scribed by Saeed V. Vaseghi
- Year
- 2000
- Tongue
- English
- Leaves
- 494
- Edition
- 2 Sub
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for dealing with noise are almost as numerous, but it is only recently, with the development of inexpensive digital signal processing hardware, that the implementation o
Because most real-world signals, including speech, sonar, communication, and biological signals, are non-stationary, traditional signal analysis tools such as Fourier transforms are of limited use because they do not provide easily accessible information about the localization of a given frequency c
Classical and modern theories have given us a degree of noise immunity by defining the sufficient statistic of the mean of the likelihood function. The generalized theory moves beyond these limitations to determine the jointly sufficient statistics of the mean and variance of the likelihood function
Content: <br>Chapter 1 Introduction (pages 1โ28): <br>Chapter 2 Noise and Distortion (pages 29โ43): <br>Chapter 3 Probability Models (pages 44โ88): <br>Chapter 4 Bayesian Estimation (pages 89โ142): <br>Chapter 5 Hidden Markov Models (pages 143โ177): <br>Chapter 6 Wiener Filters (pages 178โ204): <br>