Curriculum
- 13 Sections
- 47 Lessons
- 26 Weeks
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- DescriptionWhat you’ll Learn:
- Digital Signal
Digital signal processing fundamentals and the numerical.
The fundamental concepts on Fourier Transforms
Root concepts like signals, noise, convolution, quantization, sampling. and many more
Complex concepts and their numerical like FFT, DIT-FFT made easy for you.
- Image Processing
Starting from basic 2-D images and getting into complex processing algorithms.
Numerical based on image segmentation, Histogram , Grey level & Zero memory point operations.Digital Signal processing has a vast background comprising of signals, their fundamental properties, and their applications in the real world. This course offers tutorials on the subject as a whole with in-line explanation and handy .pdf notes.
Images being the easiest way of getting information across, starting from artistic to marketing. And today, images are digital. So, it's important to know about image processing tasks including image enhancement, filtering, and image compression which are covered thoroughly.
Along with a pdf with important notes and explanations
Modules Covered:
Discrete-Time Signal /System
Discrete Fourier Transform
Fast Fourier Transform
Digital Image fundamentals
Image Enhancement
Image Segmentation1 - How to Pass DSIP1
- Discrete-Time Signal and Discrete-Time System15
- 3.1Introduction to Digital Signal Processing10 Minutes
- 3.2Determine signal is periodic or aperiodic12 Minutes
- 3.3Determine signal is linear or non-linear6 Minutes
- 3.4Determine Signal is Time varient or Invarient6 Minutes
- 3.5Determine Signal is Static or Dynamic5 Minutes
- 3.6Determine Signal is Causal or Non Causal3 Minutes
- 3.7Determine Signal is Stable and Unstable5 Minutes
- 3.8Find Linear Convolution Part #114 Minutes
- 3.9Find Linear Convolution Part #216 Minutes
- 3.10Circular Convolution9 Minutes
- 3.11Cross Correlation and Auto Correlation16 Minutes
- 3.12Energy and Power Signal22 Minutes
- 3.13Types of Signals9 Minutes
- 3.14Stability Sum (find the range of linear time invariant signal for which impulse response is stable)16 Minutes
- 3.15Output response (0.3 delta wala sum )5 Minutes
- Discrete Fourier Transform5
- Fast Fourier Transform1
- Doubt Solving Session1
- Digital Image Fundamentals5
- Image Enhancement in Spatial domain3
- Image Segmentation8
- 9.1Region Growing in Image Segmentation9 Minutes
- 9.2Region Splitting in Image Segmentation5 Minutes
- 9.3Region Merging in Image Segmentation11 Minutes
- 9.4Convolution , Mask and Filtering17 Minutes
- 9.5Edge Detection8 Minutes
- 9.6Prewitt and Sobel Mask8 Minutes
- 9.7Robinson and Kirsch Mask5 Minutes
- 9.8Laplacian Filter7 Minutes
- Image Processing New Video2
- Digital Signal Processing Notes2
- Image Processing Notes2
- DSIP Notes1
Image Processing Module 1 Notes
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