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Digital Signal Processing

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    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.

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