This is very complex yet I find interest in this. What really should I start researching as a beginner in gaining knowledge in this? On TH-cam there are so many tutorials such as this that can allow some basis knowledge and understanding on these things. Thanks in advance.
I dont know if what Im saying is correct, but I belive the x-axis in this case where we have w as just rads is because w (in this case) is a dimensionless quantity, the reason for this is that we are only looking at the sampled frequencies in the frequency domain x[n], as opposed to the time-domain x(t). So you have a signal, and you sample it and you're left with a set of data. The dataset is just a vector of frequencies, it doesnt contain any values for "frequency/time" , it's just "sample 14 contains frequency 30Hz".
Well in Discrete time system(DTS) the frequency is of the dimension radians and not radians/sec as in the counterpart Continuous Time System(CTS). So when we check the frequency response of DTS we have just w in just radians.
The definition of omega in digital signal processing is that it is the normalized angular frequency depending on the sampling frequency. In other words, 2*pi is mapped to f_s(the sampling frequency). The definition of 2*pi differs with different sampling frequencies. This is not the traditional definition of 2*pi.
!["สนธิ" ห่วงมีขบวนการปกป้อง "ทนายตั้ม" : [THE MESSAGE]](http://i.ytimg.com/vi/2GQNp3EoMc0/mqdefault.jpg)
This makes so much sense!!! Please share this with my teacher:D Thanks for making!!
Kendal Harris you can share this with your teacher,not him!how on earth is he gona find your teacher lol
did he share it with your teacher? if not please share it
@@mbisetakobanaIt's sarcasm. He means to say his teacher sucks
This is very complex yet I find interest in this. What really should I start researching as a beginner in gaining knowledge in this? On TH-cam there are so many tutorials such as this that can allow some basis knowledge and understanding on these things. Thanks in advance.
Whew, you've got my attention man! This is some heavy stuf but it was usefull for shure!
Hello, can you explain YIG filter how to work please
Shouldn't the X axis read rads/sec as opposed to just 'rads' denoting frequency?
I dont know if what Im saying is correct, but I belive the x-axis in this case where we have w as just rads is because w (in this case) is a dimensionless quantity, the reason for this is that we are only looking at the sampled frequencies in the frequency domain x[n], as opposed to the time-domain x(t).
So you have a signal, and you sample it and you're left with a set of data. The dataset is just a vector of frequencies, it doesnt contain any values for "frequency/time" , it's just "sample 14 contains frequency 30Hz".
Well in Discrete time system(DTS) the frequency is of the dimension radians and not radians/sec as in the counterpart Continuous Time System(CTS).
So when we check the frequency response of DTS we have just w in just radians.
@@vickybidawat1956 w is radians per sample in discrete time
w does not equal 2*pi*f*T.
w = 2*pi*f or w = 2*pi/T
The definition of omega in digital signal processing is that it is the normalized angular frequency depending on the sampling frequency. In other words, 2*pi is mapped to f_s(the sampling frequency). The definition of 2*pi differs with different sampling frequencies. This is not the traditional definition of 2*pi.
EXCELLENT