Search Results for "discrete time plot"
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Showing 10 open source projects for "discrete time plot"
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gganimate
A Grammar of Animated Graphics
gganimate extends the grammar of graphics as implemented by ggplot2 to include the description of animation. It does this by providing a range of new grammar classes that can be added to the plot object in order to customize how it should change with time. Here we take a simple boxplot of fuel consumption as a function of cylinders and let it transition between the number of gears available in the cars. As this is a discrete split (gear being best described as an ordered factor) we use transition_states and provide a relative length to use for transition and state view. ... -
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uPlot
Chart for time series, lines, areas, ohlc and bars
μPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc & bars; from a cold start it can create an interactive chart containing 150,000 data points in 135ms, scaling linearly at ~25,000 pts/ms. In addition to fast initial render, the zooming and cursor performance is by far the best of any similar charting lib; at ~40 KB, it's likely the smallest and fastest time series plotter that doesn't make use of context-limited WebGL shaders or WASM, both of which have much higher startup cost and code size. ... -
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OA Player
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4
ipyvolume
3d plotting for Python in the Jupyter notebook
...Render in stereo, for virtual reality with Google Cardboard. Animate in d3 style, for instance, if the x coordinates or color of a scatter plots changes. Animations / sequences, all scatter/quiver plot properties can be a list of arrays, which can represent time snapshots. -
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ACToolkit's temporary homepage
Max-objects-&-patches for Algorithmic Composition and statistical DSP
...The name of our package ACToolkit is a derivative of AC Toolbox, the legendary "Algorithmic music composition program for macOS" of Mr Paul Berg's (https://www.actoolbox.net). Our Max-external-objects feature the real-time realisation of discrete-continuous Probability Distribution Functions, the PDFs derived from sets of interpolated discrete-probability-densities, on random numbers. Also, the package includes numerous examples exemplifying the methodologies on the usage of PDF-shaping in Algorithmic Composition, especially ones involving signal processing techniques. -
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Arnav Digital Signal Processing
A real-time Discrete Signal Processing software and API for MS Windows
A real-time Discrete Signal Processing software and API for Microsoft Windows OS which can connect to SDR devices like RTL-SDR and USRP. The API can be called from C/C++ programs as well from any .NET 4.5 client applications. -
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Intel QuickSync Decoder
A free decoder that utilizes the Intel QuickSync technology
Abstracts the hassle of HW accelerated decoding in Intel's 2nd generation Core i3/i5/i7/Pentium/Celeron (SandyBridge) or newer Intel CPU/GPU using the Intel QuickSync technology. Started as an internal decoder within FFDShow. Can be easily ported to other DirectShow decoders. The Intel QuickSync decoder is now used within FFDShow, LAV video decoder and PotPlayer. -
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EMGU Kalman Filter
Kalman Filter for EMGU Image Processing Applications
...More information is available at Wikipedia, the Kalmn Filter was derived to solve the Wiener filter problem. The Wiener filter problem is to reduce the amount of noise present in a signal by comparison with an estimation of the desired noiseless signal. The discrete-time equivalent of Wiener's work was derived independently by Kolmogorov and published in 1941. Hence the theory is often called the Wiener-Kolmogorov filtering theory. In these examples the signal processes is the movement of the mouse and random data. While a simple application the algorithm can have numerous applications including image smoothing, edge tracking and optical flow to name a few. -
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This chart implementation provides graphs of one or more functions as Swing components. The design was made to render large amounts of real-time data.
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Cvsplot is a perl script which analyses the history of a CVS-managed project. The script executes on a set of files, analyses their history, and automatically generates graphs that plot lines of code and number of files against time.
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