-
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-
Lecture1.1
-
-
How to Pass DSIP 1
-
Lecture2.1
-
-
Discrete-Time Signal and Discrete-Time System 15
-
Lecture3.1
-
Lecture3.2
-
Lecture3.3
-
Lecture3.4
-
Lecture3.5
-
Lecture3.6
-
Lecture3.7
-
Lecture3.8
-
Lecture3.9
-
Lecture3.10
-
Lecture3.11
-
Lecture3.12
-
Lecture3.13
-
Lecture3.14
-
Lecture3.15
-
-
Discrete Fourier Transform 5
-
Lecture4.1
-
Lecture4.2
-
Lecture4.3
-
Lecture4.4
-
Lecture4.5
-
-
Fast Fourier Transform 1
-
Lecture5.1
-
-
Doubt Solving Session 1
-
Lecture6.1
-
-
Digital Image Fundamentals 5
-
Lecture7.1
-
Lecture7.2
-
Lecture7.3
-
Lecture7.4
-
Lecture7.5
-
-
Image Enhancement in Spatial domain 3
-
Lecture8.1
-
Lecture8.2
-
Lecture8.3
-
-
Image Segmentation 8
-
Lecture9.1
-
Lecture9.2
-
Lecture9.3
-
Lecture9.4
-
Lecture9.5
-
Lecture9.6
-
Lecture9.7
-
Lecture9.8
-
-
Image Processing New Video 2
-
Lecture10.1
-
Lecture10.2
-
-
Digital Signal Processing Notes 2
-
Lecture11.1
-
Lecture11.2
-
-
Image Processing Notes 2
-
Lecture12.1
-
Lecture12.2
-
-
DSIP Notes 1
-
Lecture13.1
-
Determine signal is linear or non-linear
Determine Signal is Linear or Non-Linear
In these video, I have explained how to determine a given signal in linear or non-linear. A system that multiplies the input signal by a constant, is linear. This system is an amplifier or an attenuator, depending on if the constant is greater or less than one, respectively. In contrast, multiplying a signal by another signal is nonlinear. For the signal to be linear it must satisfy the superposition condition that you will learn in this video how to check that the given signal satisfies the superposition condition or not. The system is said to be linear if it satisfies these two conditions: Superposition – if input applied is (x1+x2), then the output obtained will be y1+y2. (equivalently we say that if x1 and x2 are applied simultaneously then the output will be the sum of the outputs obtained individually).
Prepare For Your Placements: https://lastmomenttuitions.com/courses/placement-preparation/
/ Youtube Channel: https://www.youtube.com/channel/UCGFNZxMqKLsqWERX_N2f08Q
Follow For Latest Updates, Study Tips & More Content!