Orthogonal Signals

[@anneoni691]

Thank you Neso Academy for your detailed videos on signals and systems. It's been helpful for me to understand the prerequisite for linear systems class.

[@vector8310]

You have the gift of effective communication.

[@arjunoberai3825]

That was really nicely and simply explained. Thank You!

[@MANISHKUMAR-jr7sx]

Two signals,x₁(t) and x₂(t) are said to be orthogonal if: ∫x₁*(t).x₂(t)dt=0 ,[-∞ to +∞]; Where, x₁*(t) = complex conjugate of x₁(t).

[@BSFMSTU-EEE]

12:55 why not Ao = √(A1^2+A2^2+2A1A2cos(phi1-Phi2)?

[@raveenaravi3786]

Sir, Is two harmonics of different frequency is orthogonal irrespective of phase??

[@rajeshwararaju9865]

Small clarification sir.. will that SUPERPOSITION PRINCIPLE holds good if the 2 signals are not orthogonal....?

[@sauravsinghsuryavanshi2344]

So happy because the New video! thanks a lot ...

[@SaeedRahman786]

Beautiful explanation

[@vikassharma-kr5zd]

your videos r exceptionally well. sr plz complete remaning video lectures of signal & system

[@akshaythakur262]

Great help guys , Storng highfive :)

[@animoholicredux7148]

sir, are there any videos depicting representation of signals geometrically as vectors?

[@crosbycesar6035]

I guess it is pretty off topic but do anyone know of a good site to stream newly released tv shows online ?

[@surbhijain3428]

Thank u neso u r awesome

[@diwakarkumar3810]

Awesome teaching .......

[@dwinovianto1250]

8:23 how can u get 0 after performing the integration?

[@kavitabora6644]

very good explanation.

[@_SaiNikhilGadilli]

Excellent sir and nice explanation.

[@saratchandra8845]

sir please complete the signals and system part and analog part we are waiting .....................please ...............................

[@Lofi_Music09]

Pls explain again total energy...... With clarity

[@madmaxkal]

Im confused about rule 1. In the instructions the two functions need different frequencies but in the example you compare their phase angle. Please clarify.

[@piyushgupta809]

actually, he compared both. n and m are part of frequencies . and n != m so he is comparing frequencies.

[@MH-yl7bt]

Thanks Sir!

[@maniys]

can you please evaluate the steps to get the integral of part i) as zero

[@gerardogutierrez4911]

its a little tedious and cmputational, but just use some trig identities and you can get that result. When you learn about fourier stuff. this is probably one of the first things you do, so you should be able to find this online.

[@boredblunt8492]

Last property was also in the property of energy signals and orthogonality condition was not given , please explain.

[@sourabhtiwari4044]

sir...thanks for sharing knowledge...sir we have gate exam in this jan. so when u r going to upload video for remaining syallbus...it is good if u upload video for transform asap...thankyou sir..

[@learnerashish3490]

Why you have not made any video on Digital Communication?

[@pagotiyamuna226]

I have one doubt ...last example how to tell sir the x1(t) and x2(t) are periodic

[@GauravGupta-pb8mk]

Thank you sir

[@hatimkhan913]

all almost understand it i mean most of it thanks

[@g.viswateja7685]

doing a great job

[@bithikamahanta8637]

Thank you.

[@baburayhanshaik5121]

hello sir please do the videos on communication systems

[@rohan30497]

The first property of Orthogonal sig is creating some confusion. What will happen if the signals are sin (nwt+phi1) and cos(mwt+phi2)? will it be orthogonal or not?

[@subhasnandy391]

If there are two signals x1(t) and x2(t) with DIFFERENT time periods, then while performing the definite integral, what should be the value of 'T' ?

[@saheliroychowdhury3253]

T is the time period of the product signal y(t)=x1(t) × x2(t)

[@subhasnandy391]

@@saheliroychowdhury3253 Thanks a lot for the response. I am actually just beginning in this field, so this created another query. In this case, how to find the value of 'T' ? In the previous lectures, we were taught to find the time period of composite signals, but the individual components were being added in that case, i.e, y(t) = x1(t) + x2(t). But how to find fundamental time period where y(t) is the product of the individual component signals ? Would be grateful if you can explain or redirect me to some resources where I can learn the same. Thank you. :-)

[@saheliroychowdhury3253]

If you've say x1(t)=sin 2t and x2(t)=sin 5t or any random sine or cosine function, you can always express x1(t)×x2(t) as summation. You've trigonometric formulae to do the same. I'm giving you the link of those formula.

[@saheliroychowdhury3253]

With these formulae you express y(t) as summation of two signals and then find their respective time periods and do LCM to get time period of y(t).

[@subhasnandy391]

@@saheliroychowdhury3253 Thank you so much. Yes, I could get it for sinusoidal signals. Now, suppose x1(t) is a periodic signal with a triangular waveform with a time period of 4 seconds (just assume...), and x2(t) is a sine function with the normal time period of 2*pi, then y(t) = x1(t) * x2(t). So, in this case also, will the required time period of the composite signal still be the LCM of the constituent time signals ??? (The reason I ask this is because, in this case, we cannot use the trigonometric formula to decompose the product into summation of two or more terms).

[@phanindrareddy4885]

Want video on z transform

[@abdklaib831]

thank u

[@shauryaprakash417]

Nice ...

[@PatrickBateman_speaks]

great

[@prakashchandrajat9752]

nice video

[@pranjalk29]

Neso Academy please complete the total signal and system according to gate syllabus...

[@Mehraj_IITKGP]

Audio is too low

[@chillies848]

Use headphones