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Description 1
What 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 Segmentation-
How to Pass DSIP Importance + Strategy 17 minLecture1.1
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How to Pass DSIP 1
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How to Pass DSIP Importance + Strategy 17 minLecture2.1
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Discrete-Time Signal and Discrete-Time System 15
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Introduction to Digital Signal Processing 10 minLecture3.1
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Determine signal is periodic or aperiodic 12 minLecture3.2
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Determine signal is linear or non-linear 06 minLecture3.3
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Determine Signal is Time varient or Invarient 06 minLecture3.4
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Determine Signal is Static or Dynamic 05 minLecture3.5
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Determine Signal is Causal or Non Causal 03 minLecture3.6
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Determine Signal is Stable and Unstable 05 minLecture3.7
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Find Linear Convolution Part #1 14 minLecture3.8
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Find Linear Convolution Part #2 16 minLecture3.9
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Circular Convolution 09 minLecture3.10
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Cross Correlation and Auto Correlation 16 minLecture3.11
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Energy and Power Signal 22 minLecture3.12
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Types of Signals 09 minLecture3.13
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Stability Sum (find the range of linear time invariant signal for which impulse response is stable) 16 minLecture3.14
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Output response (0.3 delta wala sum ) 05 minLecture3.15
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Discrete Fourier Transform 5
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Introduction to DFT 13 minLecture4.1
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DFT(Discrete fourier transform) properties 12 minLecture4.2
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Sum based on DFT properties 04 minLecture4.3
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DFT Matrix Method 06 minLecture4.4
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8 point matrix method 10 minLecture4.5
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Fast Fourier Transform 1
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DIT-FFT(Decimation in time fast fourier transform) 16 minLecture5.1
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Doubt Solving Session 1
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Doubt solving ( 1 video me saare doubt clear ) 30 minLecture6.1
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Digital Image Fundamentals 5
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Introduction to Image Processing 10 minLecture7.1
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Image File Format 10 minLecture7.2
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Bitmap Image File Format 11 minLecture7.3
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JPEG Image File Format 07 minLecture7.4
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Tagged Image File Format (TIFF) 06 minLecture7.5
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Image Enhancement in Spatial domain 3
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Gray Level Transformation 17 minLecture8.1
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Zero memory Point Operation 18 minLecture8.2
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Histogram Equalization 06 minLecture8.3
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Image Segmentation 8
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Region Growing in Image Segmentation 09 minLecture9.1
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Region Splitting in Image Segmentation 05 minLecture9.2
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Region Merging in Image Segmentation 11 minLecture9.3
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Convolution , Mask and Filtering 17 minLecture9.4
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Edge Detection 08 minLecture9.5
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Prewitt and Sobel Mask 08 minLecture9.6
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Robinson and Kirsch Mask 05 minLecture9.7
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Laplacian Filter 07 minLecture9.8
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Image Processing New Video 2
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Connectivity ( 4 , 8 and M connectivity ) 15 minLecture10.1
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Discontinuities in Image Segmentation 09 minLecture10.2
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Digital Signal Processing Notes 2
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Digital signal Processing Handmade NotesLecture11.1
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DSP Paper SolutionLecture11.2
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Image Processing Notes 2
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Image Processing NotesLecture12.1
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Image Processing Module 1 NotesLecture12.2
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DSIP Notes 1
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DSIP NotesLecture13.1
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