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12 Threads found on Envelope Matlab
So i have written the code to generate GMSK signal, but i m not sure if it is correct it generates a low pass envelope over the PSK signal Also i wanted to ask if the way i m integrating to obtain phase is correct. I am doing summation Please Help Me f_simulation = 20*10; %MHz fc = 2.4*1000; %MHz bitrate = 1; %Mbps bitlength
Hi I am working on envelope detection of a speech signal using Hilbert transform in matlab.. It's mentioned that assuming signal is y(n) abs(y(n) + j*hilbert(y(n)) gives envelope of the signal.. How can this be interpreted intuitively?? I didn't understand the logic behind this... Could someone explain this to me
The nn must distinguish any and all ways that a gunshot might sound different from other sounds. I suppose your job is to teach it how to find ways to do this? Such as: * volume characteristics * attack and decay envelope * pitch and overtone characteristics * echo characteristics. Etc.
These are few points to graph a good envelope. For a general case use the Hilbert transform. ht = hilbert(a) ; plot(abs(ht))
I need to implement an algorithm for automatic modulation recognition using matlab. I am planning to do this by using pattern recognition, I have read about the decision tree approach, it says to "ideniify the constant envelope signals (CW, FM, FSK). PSK sigals are not considered as constant envelope signals, since in practice they are (...)
Just use the equation for received signal r(t) as per Jakes relation with appropriate values of variables/constants and return the envelope/magnitude of r(t) as the output.
i want to produce a GUI in matlab that 1.shows recieved signal envelope for mimo channel in flat fadig and frequency selective channel(signal strength against time) 2.shows improvement in capacity as number of transmit and recieve antennas changese.g 1*1,2*3,etc 3.shows inmprovement in fade margin as number of transmit and recieve antennas chang
Hi dear friends, I need to know something about signal restoration. i have some distorted audio samples by severly filtering and background noise and i need to restore them by matlab. can anyone help me to know about common practical methods that exsist. can the LPC method for representing the spectral envelope of a digital signal, help here? t
i have attached a m-file (in the form of txt file) from my previous post graduate assignment which requires me to simulate a bpsk transmission using baseband envelope approach; using either rectangle, sync or raised cosine pulse shaping through a AWGN or Rayleigh flat fading channel. i have also wrote the commands to plot the ber vs snr plot. we
AWR VSS since it allows real (baseband), digital, and most of all complex envelope representation of signals. In addition to comm links I have done PLL, AGC, and other circuits. It can also link to matlab.
I have some discreet data but is there any function to find the envelope of the data in matlab? thx!
d u mean by envelope the frequency curve?