Andrea
• Member for 6 years, 2 months
• Last seen this week

Yes, integration and differentiation can be linear filters. You can start from laplace properties that say: $\int_{0}^{t} {x(t)dt} \longrightarrow \frac{X(s)}{s} \\ \frac{d}{dt}x(t) \longrightarrow ... View answer Accepted answer 4 votes I take your equation:$\frac{d^2y}{dt^2}-3\frac{dy}{dt}+2y(t)=x(t)$Laplace transform will be:$ s^2Y(S) - 3sY(S) +2Y(s) = X(s) $Now I can find transfer function:$H(s) \triangleq \frac{Y(s)}{X(s)}$... View answer 1 votes Note that you are cutting a lot of signal frequencies in the transition from 10Hz to 200Hz (look the attenuation in the frequency response of the filter), consider to use lowpass filter or to change ... View answer 1 votes I worked on this problem some time ago, my solution was to compress the image with wavelet transform with an opportune coefficient that depends on captcha type that I choose with some expermients. ... View answer 1 votes This problem born when you use pixel intensity as physical mass, for example to calculate mass center or inertia moments, in this case the background should be 0 and object should be 1. Btw your ... View answer 1 votes You can start from z-transform of sine:$ Z[sin(2\pi f n)\cdot u(n)](z)= \frac{z \cdot sin(2 \pi f)}{z^2-2z \cdot cos(2 \pi f)+1}$For your signal you have$f=1/4$and substituting you obtain:$ X(...

First of all when you work with MATLAB I suggest you to use a time axis t. [x,Fs] = audioread('go10.wav'); % to read the data t=(0:length(x)-1)/Fs; plot(t,x) ; % Now when you plot you can see the ...

The segment with text (I assume with a background) should contains text clearly visible from the background, then the text segment should have a lot of peaks in the transitions from text to background....

The function should be something like this: SR=sampling rate T=duration in second of the output t=0:(1/SR):T x=your sin wave input X=fft(x) freq=index of max(mod(X)) from 0 to SR/2 (in [Hz]) ai=[1 1 ...

You should know the orientation of the phone because the axis signum must be the same of the car motion. Assuming the axis signum is correct you can filter the accelerometer signal in lowpass, to ...

I've found an estimator that can work for a lot of similar situations, the idea is that you can rewrite the division: $$x(t) = z(t) \cdot y(t) \tag1$$ The problem now is to estimate $z(t)$ that ...

This is a $5$ variables equation, each variable is an $x[n-i]$ or $y[n-i]$ and you have not to consider the time to prove linearity. Take the linear equation definition: $\sum_{k=1}^N c_k \cdot ... View answer 0 votes To be linear you must have a function$f$that satisfy:$ f(a\overline {x_1} + b \overline{x_2}) = af(\overline{x_1})+ b f(\overline{x_2}) $I define$ \overline{x}=\left [\begin{matrix}\overline{x}(...

In your question there is not a matrix because some elements are missing, I assume they are equal to $0$. This solution in MATLAB should works: syms a b c f=1/12*[ 0 , 0 , 0 , 0, 0; 0 , c , ...