Digital Signal Processing

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Digital signal processing (DSP) is the use of digital processing, such as by computers, to perform a wide variety of signal processing operations. The signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space, or frequency.

Digital signal processing and analog signal processing are subfields of signal processing. DSP applications include audio and speech signal processing, sonar, radar and other sensor array processing, spectral estimation, statistical signal processing, digital image processing, signal processing for telecommunications, control of systems, biomedical engineering, seismic data processing, among others.

DSP can involve linear or nonlinear operations. Nonlinear signal processing is closely related to nonlinear system identification[1] and can be implemented in the time, frequency, and spatio-temporal domains.

Digital Signal Processing application covers following material of Digital Signal Processing

1. Signals and Systems Home

2. Signals and Systems Overview

3. Signals Basic Types

4. Signals Classification

5. Signals Basic Operations

6. Systems Classification

7. Signals Analysis

8. Fourier Series

9. Fourier Series Properties

10. Fourier Series Types

11. Fourier Transforms

12. Fourier Transforms Properties

13. Distortion Less Transmission

14. Hilbert Transform

15. Convolution and Correlation

16. Signals Sampling Theorem

17. Signals Sampling Techniques

18. Laplace Transforms

19. Laplace Transforms Properties

20. Region of Convergence

21. Z-Transforms (ZT)

22. Z-Transforms Properties

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