Xilinx is a package. Matlab is a package and language. Xilinx requires a HDL program to execute the required logic. Matlab requires the Matlab program for that purpose. Xilinx is used for digital electronics. Matlab is used for signal processing.
Matlab has a built-in function called "demod" in the communications (signal processing) toolbox where you can specify 'fm' for frequency demodulation.
clc close all n=input('enter the length of ramp'); t=0:n; plot(t); xlabel('t'); ylabel('amplitude'); title ('ramp') The above code can generate ramp signal using Matlab.
There are a lot of convolution functions in matlab, mostly in the signal processing toolbox, so it depends on what you want to do. Matlab has extensive help files available online.
matlab stands for matrix laboratory.. the function of matlab to create different types of signal and observe them .and their are so many different functions of matlab like, simulink fuzzy logic,simply arithmetic ,GUI etc
Xilinx is a package. Matlab is a package and language. Xilinx requires a HDL program to execute the required logic. Matlab requires the Matlab program for that purpose. Xilinx is used for digital electronics. Matlab is used for signal processing.
Matlab has a built-in function called "demod" in the communications (signal processing) toolbox where you can specify 'fm' for frequency demodulation.
clc close all n=input('enter the length of ramp'); t=0:n; plot(t); xlabel('t'); ylabel('amplitude'); title ('ramp') The above code can generate ramp signal using Matlab.
Alexander D. Poularikas has written: 'Transforms and Applications Handbook' -- subject(s): Transformations (Mathematics), Handbooks, manuals 'Signals and Systems Primer with MATLAB (Electrical Engineering & Applied Signal Processing Series)' 'Discrete random signal processing and filtering primer with MATLAB' -- subject(s): Electric filters, MATLAB, Signal processing 'Transforms and applications primer for engineers with examples and MATLAB' 'Solutions Manual for Signals and Systems Primer with MATLAB' 'Adaptive filtering primer with MATLAB' -- subject(s): Adaptive filters, MATLAB 'Signals and systems primer with MATLAB' -- subject(s): MATLAB, Mathematics, Signal processing, System analysis
There are a lot of convolution functions in matlab, mostly in the signal processing toolbox, so it depends on what you want to do. Matlab has extensive help files available online.
matlab stands for matrix laboratory.. the function of matlab to create different types of signal and observe them .and their are so many different functions of matlab like, simulink fuzzy logic,simply arithmetic ,GUI etc
You would have to write your own code for a modulation (Matlab has a convolution function not in the tools), otherwise you can use its built in function in the signal processing toolbox.
Taan Said El-Ali has written: 'Discrete systems and digital signal processing with MATLAB' -- subject(s): Mathematics, Signal processing, MATLAB, Digital techniques
A single cable carrying video will be carrying a composite video signal. This signal has brightness and two color signals encoded into a single signal. To generate a component signal (YPbPr)a video decoder is required. They are available from many sources from low cost domestic units to stunningly expensive broadcast models. The better the decoder, the better the resulting image. It is very important to understand that a composite signal has suffered losses because of the encoding. Decoding the signal to component does not restore that quality. Component interfaces can handle high definition as well as standard definition signals. Decoding a composite signal will result in a standard definition signal. Connecting it to a high definition input will not result in a high definition signal. Normally, the only reason to decode the signal to component is to interface to a device that only accepts component signals.
Andre Quinquis has written: 'Digital signal processing using MATLAB'
John G. Proakis has written: 'Introduction to digital signal processing' -- subject(s): Signal processing, Digital techniques 'Digital signal processing' 'Contemporary communication systems using MATLAB and Simulink' -- subject(s): Computer simulation, Data transmission systems, MATLAB, Telecommunication systems
when some of the component are being delayed compared to other component, so the resulting signal will be different from original signal.