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In MATLAB, signal folding refers to the process of mirroring a signal around a specific point, often used in signal processing to analyze or manipulate signals in the frequency domain. This technique is commonly employed to handle signals that exceed the Nyquist frequency, preventing aliasing by effectively "folding" higher frequency components back into the valid frequency range. Folding can also be used in operations like time-reversal or to create specific signal patterns for analysis. Functions such as fold or custom implementations can be utilized to achieve this effect in MATLAB.
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What is the difference between xilinx and matlab software?
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.
Convolution in matlab using for loop?
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.
Which is the function of matlab?
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
How do you modulate in matlab without using matlab tools?
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.
Matlab program for FM demodulation?
Matlab has a built-in function called "demod" in the communications (signal processing) toolbox where you can specify 'fm' for frequency demodulation.
What has the author Alexander D Poularikas written?
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
What is the difference between xilinx and matlab software?
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.
Convolution in matlab using for loop?
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.
Which is the function of matlab?
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
How do you modulate in matlab without using matlab tools?
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.
Matlab program for FM demodulation?
Matlab has a built-in function called "demod" in the communications (signal processing) toolbox where you can specify 'fm' for frequency demodulation.
What has the author Taan Said El-Ali written?
Taan Said El-Ali has written: 'Discrete systems and digital signal processing with MATLAB' -- subject(s): Mathematics, Signal processing, MATLAB, Digital techniques
How do you remove a 50hz ECG signal using adaptive filter using matlab?
To remove a 50 Hz ECG signal using an adaptive filter in MATLAB, you can use the LMS (Least Mean Squares) algorithm. First, create a reference signal that replicates the 50 Hz noise, then define the adaptive filter using MATLAB's adaptfilt.lms function. Train the filter with the reference signal and the noisy ECG signal, and apply the filter to the ECG data to minimize the 50 Hz interference. Finally, plot the original and filtered signals to visualize the noise removal.
What has the author Andre Quinquis written?
Andre Quinquis has written: 'Digital signal processing using MATLAB'
What has the author John G Proakis written?
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
How do you know frequency of signal on matlab?
In MATLAB, you can determine the frequency of a signal using the Fast Fourier Transform (FFT) function. By applying the FFT to your time-domain signal, you can convert it to the frequency domain. The resulting output can be analyzed to find the dominant frequencies by identifying the peaks in the magnitude spectrum. You can also use the findpeaks function to help locate these peaks effectively.
What is difference between aliasing and folding in digital signal processing?
Aliasing and folding are both phenomena that occur in digital signal processing when sampling signals. Aliasing refers to the misrepresentation of a signal that occurs when it is sampled below its Nyquist rate, causing higher frequency components to appear as lower frequencies in the sampled signal. Folding, on the other hand, specifically describes the folding of frequency components back into the Nyquist interval when sampling, making it a visual representation of aliasing in the frequency domain. In essence, aliasing is the general term for the distortion caused by insufficient sampling, while folding describes the specific way that frequencies are reflected into the observable spectrum.
