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Dear Professor , please could you kindly explain how to use wavelets for classification of ecg signals and another for classifying Audio files , thanks and best regards

Sir how to get distorted images which you have applied to test robustness of algorithm? For ex how to get pixelized image , oil painted image. crop image etc of a given image?

Very good explanation

Sir I want to extract features form the signal by using cwt stft and Wsst ... Can I use some other similar methods for feature extraction who's inverse is also possible ?

Nicely explained

Nice Video

Thank you for your detailed explanation, sir. It is very helpful for understanding about fuzzy logic controller and modeling in MATLAB.

its a great effort from your side sir , thank you very much for the video

Thank you for the amazing work!

sir how will get the image back from decompositions

والله كلامك جميل جدا وسهل لقد فهمت كل شي عن ANFIS MODEL. I'm Shahed, a master's student in Jordan; thank u so much. im speak Arabic but i wrote in English to express to u

Only one word I can say i .e after long time i understand logic

Is this AI predicts Heart disease / Attack or It simply gives a Fiagnosis and intrepretation of ECG sir?

THANKYOU SIR

is there any labeled image dataset to identify normal, bradycardia or trachycardia

Very good information sir, Thans.

really nice, simple and precise presentation

how to do you choose which mother wavelet to choose? you have used db, hear and bior in different examples.

❤

Hi professor, how can I extract features from a set of 19-channel electroencephalogram signals in MATLAB with .mat format?

What if we have hundreds of channels? Can matlab read them and do some computations? Tnx

Good job 👍

Brilliant, only if I can download the slides

The best explanation, Thankyou very much.

Sir the program shows error like unrecognised function or variable cA1.... What did i do

Thank you Dr. Ajay.

sir can i use my own dataset?

nice explanation sir

Sir, I can't get into the hardware support package. I'm getting a service renewal window. How can I fix it? Please help me to resolve this issue, sir. I can't do most of my project work because of this, and I don't have an idea how to fix it.

I am getting an error using evlafis

I have a question. Why does the form of fi in layer 4 give the formula of px+qy+r? If the input value is added (e.g. z) Does the formula of px+qy+kz+r? (k is parameter)

You are the best. I had no knowledge of this and I just understood it. Wow !

Thank you so much for your valuable video explanation and demonstration sir. It would have been better if you could provide a written documentation, having all parts of the code and the images you generated.

Hello Dr verma , how are you? I wanted to ask you something. What are the necessary steps to create an image processing project using FPGA and VHDL? Can you give me any advice? I want to use the Haar wavelet but I don't know where to start.

Best explanation sir

Good presentation Dr. Ajay.

Nice session sir ❤❤❤

best lecture

Nicely explained

Nice 👍

i'm doing classify 4 kinds of animals, and using PCA to visualize 2D of data at the first step. And I'm turning all images into grayscale because it's much less complicated. Can you please tell me that if I do like that, i will miss many feature at the first RGB image ? and what should I do, thank you so much

Lotfi Zadeh🇦🇿

Thank you so much 😊

one of the best channel in entire you tube for engineers. Waiting for next videos

Great video. Thanks

Nicely Done!.... Clear and detailed. Please keep making this type of video.

code:- %original image. img=imread("file_path"); % replace with your file path %Adding noise to image imgn=imnoise(img,'gaussian',0,0.005); %Denoise image using global thresholding. imgden = wdencmp('gbl',double(imgn), 'sym4',2,thr, sorh, keepapp); %Plotting subplot(131), imshow(img), title('Original Image') subplot (132), imshow(imgn), title('Noisy Image') subplot(133), imshow(uint8 (imgden), []), title('denoised Image')

To those who have doubts in why the Laplace transform of derivative of x(t) is sX(s) - x(0), this is the unilateral laplace transform (Integral from 0 to positive infinity) instead of bilateral laplace transform (Integral from neagtive infinity to postive infinity).

Hello sir.. I want the algorithm of this programme.. Plz help me..

Thank you so much, Dr. Verma. That was very helpful. I will be forever grateful for this wavelets series videos. I have searched many websites and wasted many an hour because I was not getting the thorough knowledge you provided in just a single video.