Solving a System Response Using The Convolution Integral The impulse response is solved analytically and numerically. The analytical solution is simply the inverse Laplace transform of the system transfer function. The numerical solution computes an approximation to the impulse response by differentiating the system unit step response.
State Variable Filter The state variable filter is the classic multi-function filter implemented using simple integrator blocks in feedback with gain values which adjust damping and bandwidth. The particular filter function is picked off at various points in the filter.
Filter Design This model has two filters, both 100 Hz low pass filters. One is an IIR Butterworth, the other a two band FIR filter. The parameters can be modified - experiment with a different frequency to see that the FIR filter gives a sharper cuttoff.
Digital Data Compression Using Wavelets This model generates a 2 parameter wavelet basis, computes discrete wavelet coefficients, and shows an example of digital data compression.
"Due to its power, flexibility, ease-of-use, and low cost, VisSim has been Carrier's choice for system modeling, simulation, data acquisition, and rapid prototyping for over eight years." Mr. Richard Kolk - Manager Simulation & Control Technology
"For my current project, VisSim has allowed me to collapse my firmware development time from months down to about a week. It is almost impossible to overstate the importance of VisSim to my development time-table." -Greg Gottschalk Electrical Engineer
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