Digital Signal Processing

The app is a complete free handbook of Digital Signal Processing which covers important topics, notes, materials & news on the course. Download the App as a reference material & digital book for computer science, communication and other engineering programs & degree courses.

This useful App lists 91 topics with detailed notes, diagrams, equations, formulas & course material, the topics are listed in 5 chapters. The app is must have for all the engineering science students & professionals.

The app provides quick revision and reference to the important topics like a detailed flash card notes, it makes it easy & useful for the student or a professional to cover the course syllabus quickly just before an exams or job interviews.

Also get the hottest international engineering & technology news on your app powered by Google news feeds. We have customised it so that you get regular updates on subject from international/national colleges, universities, research, industry, applications, engineering, tech, articles & innovation.

This is the best application to remain updated on your fav. subject.

Use this useful engineering app as your education tool, utility, tutorial, book, a reference guide for syllabus and explore study course material, aptitude tests & project work.

Track your learning, set reminders, edit, add favourite topics, share the topics on social media.

Some of topics Covered in this application are:

1. Introduction to Signals and Systems

2. SIGNALS AND CLASSIFICATION OF SIGNALS

3. BASIC CONTINUOUS-TIME SIGNALS

4. BASIC DISCRETE-TIME SIGNALS

5. SYSTEMS AND CLASSIFICATION OF SYSTEMS

6. The Roots of DSP

7. Telecommunications

8. Audio Processing

9. Echo Location

10. Image Processing

11. Signal and Graph Terminology

12. Signal vs. Underlying Process

13. The Normal Distribution

14. Digital Noise Generation

15. Precision and Accuracy

16. Introduction to Linear Time-Invariant Systems

17. RESPONSE OF A CONTINUOUS-TIME LTI SYSTEM AND THE CONVOLUTION INTEGRAL

18. PROPERTIES OF CONTINUOUS-TIME LTI SYSTEMS

19. EIGENFUNCTIONS OF CONTINUOUS-TIME LTI SYSTEMS

20. SYSTEMS DESCRIBED BY DIFFERENTIAL EQUATIONS

21. RESPONSE OF A DISCRETE-TIME LTI SYSTEM AND CONVOLUTION SUM

22. PROPERTIES OF DISCRETE-TIME LTI SYSTEMS

23. EIGENFUNCTIONS OF DISCRETE-TIME LTI SYSTEMS

24. SYSTEMS DESCRIBED BY DIFFERENCE EQUATIONS

25. Quantization

26. Digital-to-Analog Conversion

27. The Sampling Theorem

28. Selecting the Antialias Filter

29. Analog Filters for Data Conversion

30. Multirate Data Conversion

31. Single Bit Data Conversion

32. Filter Basics

33. How Information is Represented in Signals

34. Time Domain Parameters

35. Frequency Domain Parameters

36. High-Pass, Band-Pass and Band-Reject Filters

37. Filter Classification

38. Noise Reduction vs. Step Response

39. Frequency Response

40. Relatives of the Moving Average Filter

41. Introduction to Laplace Transform and Continuous-Time LTI Systems

42. THE LAPLACE TRANSFORM

43. LAPLACE TRANSFORMS OF SOME COMMON SIGNALS

44. PROPERTIES OF THE LAPLACE TRANSFORM

45. THE INVERSE LAPLACE TRANSFORM

46. THE SYSTEM FUNCTION

47. the UNILATERAL LAPLACE TRANSFORM

48. Introduction to The z-Transform and Discrete-Time LTI Systems

49. THE Z-TRANSFORM

50. Z-TRANSFORMS OF SOME COMMON SEQUENCES

51. PROPERTIES OF THE Z-TRANSFORM

52. THE INVERSE Z-TRANSFORM

Each topic is complete with diagrams, equations and other forms of graphical representations for better learning and quick understanding.

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

Digital Signal Processing is part of computer science, communication and other engineering education courses and technology degree programs of various universities.