Digital Signal Processing

Features

• This unique free application is for all students across the world. It covers 91 topics of Digital signal processing in detail. These 91 topics are divided in 5 units
• Each topic is around 600 words and is complete with diagrams, equations and other forms of graphical representations along with simple text explaining the concept in detail.
• This USP of this application is "ultra-portability". Students can access the content on-the-go from anywhere they like.
• Basically, each topic is like a detailed flash card and will make the lives of students simpler and easier.
• 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
• 53. THE SYSTEM FUNCTION OF DISCRETE-TIME LTI SYSTEMS
• 54. THE UNILATERAL Z-TRANSFORM
• 55. Introduction to Fourier analysis of Continuous-Time Signals and Systems
• 56. FOURIER SERIES REPRESENTATION OF PERIODIC SIGNALS
• 57. THE FOURIER TRANSFORM
• 58. PROPERTIES OF THE CONTINUOUS-TIME FOURIER TRANSFORM
• 59. THE FREQUENCY RESPONSE OF CONTINUOUS-TIME LTI SYSTEMS
• 60. FILTERING
• 61. BANDWIDTH
• 62. Introduction to Fourier analysis of Discrete-Time Signals and Systems
• 63. DISCRETE FOURIER SERIES
• 64. THE FOURIER TRANSFORM
• 65. PROPERTIES OF THE FOURIER TRANSFORM
• 66. THE FREQUENCY RESPONSE OF DISCRETE-TIME LTI SYSTEMS
• 67. SYSTEM RESPONSE TO SAMPLED CONTINUOUS-TIME SINUSOIDS
• 68. SIMULATION
• 69. THE DISCRETE FOURIER TRANSFORM
• 70. Introduction to State Space Analysis
• 71. THE CONCEPT OF STATE
• 72. STATE SPACE REPRESENTATION OF DISCRETE-TIME LTI SYSTEMS
• 73. STATE SPACE REPRESENTATION OF CONTINUOUS-TIME LTI SYSTEMS
• 74. SOLUTIONS OF STATE EQUATIONS FOR DISCRETE-TIME LTI SYSTEMS
• 75. SOLUTIONS OF STATE EQUATIONS FOR CONTINUOUS-TIME LTI SYSTEMS
• 76. Introduction to Filter Design
• 77. FILTER SPECIFICATIONS
• 78. FIR FILTER DESIGN
• 79. IIR-FILTER-DESIGN

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