I am trying to fit this data, but the CFT doesn't support a function that can fit my data(The curve of which is similar to the curve of Paschen's Law). Thanks a lot! x=[0.17 0.33 0.83 1.67 2.5 3.33 5]; y=[6.62466 5.58235 4.63169 5.08213 5.4159 5.81769 6.77988]; ...
I have the value of B(x1) and B(x2) and the normalized curve of A(k) at x1 and x2. How do I write a matlab code to find f(k,x) for the equation (attached as 'eq.gif'). The normalized curves are attached as A-k@x1 and A-k@x2 B(x1)= 307500, B(x2)= 514400...
Actually, it is quite simple to do. For instance, let's define the equation symbolically in MATLAB: symsy(x) y(x)=4*x-3*x^2; Then, take the derivative: dy(x)=diff(y,x) which would be 4-6*x At this point, you can find the slope of the tangent ...
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Fig. 3. (A) Example area-under-the-curve (AUC) between 110 ms and 310 ms for an individual participant's mismatch waveform (MMW) for the 100% amplitude modulation depth (AMD); (B) unprocessed AUC curves derived from individual MMWs for all participants; (C) exponential and binary weigh...
A set of fast customizable functions for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting. It can find...
are plotted together, i want to find the point which is not mean but centre of the density at each data point. From visiual analysis you can tell a certain point as density centre (that point does not necessarily contain a data point there). Is it possible to do so using matlab?
To make a systematic comparison, we first performed an exhaustive search using the HF model. Among a total of 2304 possible network topologies, 104 can achieve the controlled oscillation task under HF model. Also, we train the RNN model repeatedly 200 times, with different weight initialization ...
마감:MATLAB Answer Bot2021년 8월 20일 I have a set of points, time and RPM of a rotating crankshaft. And the RPM is refined to .0000001 time scale resulting in a set of 4000+ points. The graph is plotted below. Is there any method to find the function of this graph?(whic...
possible_zeros = sort(unique(abs(roots(coeff)));% Roots of the polynomial curve fit - the absolute value is to convert complex roots, and the unique() function turns each complex pair to only 1 point error = polyval(coeff,possible_zeros);% Evaluate the polynomial curve fit at every root...