SPEEDSim vs Stochastic Signal Processing

Spatial Population Ecological and Epidemiological Dynamics Simulator (SPEED Sim) is a tool that enables hands-on interactive exploration of the spatial dynamics of various computational models in population ecology and epidemiology. The app also provides several cellular automaton models as an introduction to these kinds of simulations. This app has been used in numerous K-12 educational outreach venues, including: * Expanding Your Horizons workshops to stimulate interest in STEM fields among middle-school girls * 4-H workshops for middle- and high-school students * Workshop at the Maine Science Festival * Various visits to K-12 schools * An exhibit at the Maine Discovery Museum, a children's museum in Bangor, Maine The app currently includes twelve different models: - Conway's Game of Life: a classic cellular automaton that was created by mathematician John Conway in 1970. - Vants: (Langton's Virtual Ants) demonstrates how extremely complex behaviour can arise from a set of very simple rules. - Majority/Voter: models peer pressure, genetic drift or the spread of opinions and ideas. - Diffuse: physics model of particles randomly diffusing around (e.g. particles of ink in a jar of water) - Diffusion-Limited Aggregation: models a process similar to crystallization, with diffusing particles aggregating out of solution. - Cyclic Cellular Automaton: a generalized version of 'rock-paper-scissors.' - SIRS epidemiological model (Susceptible-Infectious-Recovered-Susceptible): demonstrates an infectious disease spreading through a population, where individuals have temporary immunity after recovering from the infection. - Dispersal2: a population model where individuals disperse their offspring at two local scales. - Fragmented Landscape:a population model with local and long-distance dispersal on a spatially structured heterogeneous landscape. - Competitive Species: an extension of the Fragmented Landscape model above, but with two species competing for available habitat with different strategies. - Block Disturbance: a spatial population ecology model where births occur individually, but when death occurs, entire blocks of sites go extinct simultaneously. - Vaccinated Communities epidemiological model: shows how the dynamics of an infectious disease are affected not only by the total amount of vaccination in a population, but also by the variability in vaccination levels among different communities. - Internet Worms: simulates the spread of malicious software spreading through the internet using biologically inspired dispersal strategies. The simulation models allow you to change all parameters controlling the dynamics. Images of the detailed spatial dynamics can be displayed, as well as graphs summarizing the behavior over time. Both types of images can be saved to the Photos library. New patterns can be interactively drawn in the system by simply moving your finger around on the lattice. You can also pinch-to-zoom, and then pan around using two fingers. Most of the models allow you to load images from the camera and run simulations on them. Tap the Options menu at the bottom of the Lattice screen to load images from the camera or the Photos library. For example: load the Diffuse model, turn on Walls mode in the Parameters tab, and then run the model on a photo of yourself. Note that the simulations are generally computational intensive and will run more quickly on newer iOS devices or when you select a smaller lattice size. The speed adjuster brought up from the Options menu near the bottom of the Lattice screen lets you slow down the simulation to observe the dynamics more closely. The larger screen on iPads allows for a much nicer interface, but the app is fully functional on iPhones and iPod Touches as well. This material is based upon work supported by the National Science Foundation under Grant Nos. DMS-0718786 and DMS-0746603 to David Hiebeler.

Speech, music, seismic vibrations, oil prices, and climate measurements are all examples of stochastic (random) signals. In this textbook—intended for individuals with prior training in introductory signal processing and introductory probability theory—we develop techniques to process such signals to extract useful information. We present case studies ranging from music to photographic images to oil prices to climate data to the motion of individual biomolecules. This textbook, as an interactive textbook ("iBook"), makes use of your device's ability to display dynamic information through films and animations and to hear the results of the techniques applied to music. At the end of every chapter there are homework problems ranging from easy to "olympic". We make use of your device's interactive capabilities to offer 59 laboratory experiments in signal processing. The experiments use the camera, the microphone, the speakers, and the graphical user interface. These experiments are not simulations; they are examples of real digital processing of signals in your device. In this time of at-home and online learning, this is the way to learn signal processing through study and experimentation.