1. Basic Operations on Signals, Generation of Various Signals and finding its FFT. 2. Program to verify Decimation and Interpolation of a given Sequences. 3. Program to Convert CD data into DVD data 4. Generation of Dual Tone Multiple Frequency (DTMF) Signals 5. Plot the Periodogram of a Noisy Signal and estimate PSD using Periodogram and ModifiedPeriodogram methods 6. Estimation of Power Spectrum using Bartlett and Welch methods 7. Verification of Autocorrelation Theorem 8. Parametric methods (Yule-Walker and Burg) of Power Spectrum Estimation 9. Estimation of data series using Nth order Forward Predictor and comparing to the OriginalSignal 10. Design of LPC filter using Levinson-Durbin Algorithm 11. Computation of Reflection Coefficients using Schur Algorithm 12. To study Finite Length Effects using Simulink 13. ECG signal compression 14. Design and verification of Matched filter 15. Adaptive Noise Cancellation using Simulink 16. Design and Simulation of Notch Filter to remove 60Hz Hum/any unwanted frequencycomponent of given Signal (Speech/ECG) Lab 1 and 2 syllabus for us please provide sir

Design an App for the following 1) Displaying various types of image files and formats 2) Transforming image (gray/RGB) to a bit planes and displaying 3) Performing the following operations on image i) Image resize: Effect on spatial resolution ii) Quantization, Dilhering, error diffusion 4) Performing the following point processing operations on image i) Adding / Subtracting / Multiplying / Dividing by a constant ii) Complement of image iii) Histogram Processing , Contrast Stretching, Equalization. 5) Filtering of images in Spatial domain i) Low Pass : Mean, Median filtering ii) High Pass: Laplacian filter, Laplacian of Gaussian(LOG) filter iii) Edge Sharpening filters: Unsharp marking, High Boost filtering iv) ROI processing on Images 6) Filtering of Images in Frequency domain i) Ideal low pass filtering ii) Ideal high pass filtering iii) Butterworth filtering iv) Gaussian filtering v) Homomorphic filtering 7) Image Restoration i) Generating different types of Noisy, Images : Salt and pepper, Gaussian, Speckle, Periodic ii) Enhancement of Salt and Pepper noisy image iii) Enhancement of Gaussian noisy image iv) Enhancement of periodic noisy Image v) Wiener filtering 8) Image segmentation i) Thresholding for converting Gray image to Binary image ii) Edge detection: 1st order : Robert, Sobel, Prewitt, II order : Laplacian, Canny 9) Wavelets: i) Applying Haar wavlet on image for different scales ii) High Pass filtering using wavlets iii) Denoising using wavlets Cycle: 2 1) Recording speech signal with different sampling rates and quantization and saving as .wav file. 2) Framing and windowing of speech using different windows and plotting its spectrum and spectrograms. 3) Plotting the pitch contour using parallel pitch estimation 4) Extraction of LPC coefficients from speech signal in Simulink 5) Synthesis of speech signal using LPC coefficient in Simulink 6) Real time analysis speech signal with LPC coefficients using DSK 6713 7) Real time synthesis of speech signal from LPC coefficients using DSK 6713

Thank you sir please provide some more for mtech

can you add for the effects like echo, reverb and equalization? thanks

Thank you all, based on your responses, I have created a much detailed short playlist for audio signal processing in matlab, you can check that.

the music is so annoying

According our religouin we do no hear music If you remove our bacground music of video it will easy for us thank you

thank you very much

Can I get a mathematical analysis for this audio processing

God bless you my brother

I am having error on line 14 and I can not identify the problem

My audio file is in aac format... How to convert that into wav

The back ground music is really disturbing

good work

hi, thanks for the great tutorial. i am wondering why is amplitude different in 2 charts in the end?

Bht ala brother it is working 100 percent

thanks

GREAT WORK

Sir plzzzz help me to solve error in 2 nd line ( r= audiorecorder...)

Hi. Sir a very nice demonstration.. sir can u guide me , in case i need to increase time to record my voice what I have to do for that ? Please

How to get bandwidth and spectogram of this signal

Thank you very much

The music in background is really disturbing, i can't hear anything.

Well explained.

thanks

100th like. thanks man

sampling frequency should be twice of max frequency but you have taken fs=6F.please explain this..where have this 6 come from??

Hie.. Line 2 r=audiorecorder(Fs, bits, channels) ; showing as error.. How to resolve?

I'm also getting error in line 2

I love you

In what units is the amplitude?

scripte please

Thank you sir but the music is noisy

I m getting error in the second line....plzzz tell how to rectify it

Y label in frequency is Power right ? not amplitude Am i right ? Please reply

Good work, man! Can u please provide the code here?

thanks good video!

good

Nicely explained brother.. It's helpful for my college labs

Thank you!