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#vibration

10 packages tagged with “vibration”

Meadow.Foundation.Grove.Sensors.Motion.VibrationSensor

Grove GPIO vibration sensor

v2.5.0↙ 40.5K
Meadow.FoundationGroveVibrationSensor

Meadow.Foundation.Grove.HID.VibrationMotor

Grove GPIO vibration motor

v2.5.0↙ 36.0K
Meadow.FoundationGrovevibrationvibratormotor

Xam.Plugin.MultiGestureView

Extended ContentView that Supports gestures like Long Press, Tap and Right Click. Also supports vibration on gesture detection.

v1.0.5↙ 44.8K
xamarin.formsxamarinformslongpress

CurrieTechnologies.Razor.Vibration

A Razor class library for interacting withthe browser vibration API. Use in Blazor Server and Blazor WebAssembly apps.

v0.3.0↙ 9.5K
BlazorRazorVibrateVibrationJSInterop

AathifMahir.Maui.MauiShakeDetector✓

Maui Shake Detector Shake Event Detector Library with Lots of Customization like GForce Tuning, Shake Intervals and Haptics for Shake Events

v3.0.0↙ 3.8K
MauiShakeShakeDetectorMauiShakeAccelerometer

CurrieTechnologies.Blazor.Vibration

Deprecated. Use CurrieTechnologies.Razor.Vibration

v0.2.0↙ 1.1K
BlazorVibrateVibrationJSInterop

Retyped.cordova-plugin-vibration

Cordova Plugin Vibration (cordova-plugin-vibration) binding library for Bridge.NET projects.

v3.1.6733↙ 14.5K
cordovapluginvibrationcordova-plugin-vibrationtypescript

Dew.Signal.Linux

Dew.Signal.Linux is the Linux-native accelerated edition of the Dew.Signal digital signal processing library. It provides a full suite of DSP algorithms built on top of Dew.Math.Linux, delivering high-performance numerical processing with multithreaded AVX/AVX2/AVX-512 hardware acceleration. This package is intended for scientific servers, compute clusters, HPC pipelines, digital instrumentation, real-time data acquisition, industrial analytics, embedded Linux platforms, and cloud CPU workloads. Filter Design and Processing: - IIR filters: Butterworth, Chebyshev I/II, Elliptic, Bessel - Transformations: bilinear, matched-Z, frequency remapping, pole-zero and state-space formulations - FIR filters: window methods, Remez exchange, Hilbert transformers, differentiators, integrators, Savitzky–Golay smoothers, envelope detection - Multirate DSP: decimation, interpolation, half-band polyphase filters, zoom-spectrum workflows Spectral and Frequency-Domain Analysis: - FFT-based spectral estimation and spectrum analyzer infrastructure - Parametric estimators: Yule–Walker, Burg, Covariance, Modified Covariance - Chirp-Z transform, time-frequency spectrograms, bispectrum, bicoherence, coherence, transfer function estimation, phase unwrapping - Real/complex cepstrum and inverse cepstrum - Spectral statistics: noise floor, SFDR, THD, THDN, SINAD, RMS, SNR Signal Modeling, Streaming, and Synthesis: - White, pink, brownian, blue, violet and deterministic test signal generators - Continuous streaming components and dataflow processing units for real-time measurement systems - High-performance convolution, correlation, DCT/IDCT, interpolation and filtering kernels - Spectral forecasting based on controlled peak selection Integration and Platform Model: - Uses Dew.Math.Linux for native-accelerated numerical backend - Does **not** require WinForms or TeeChart (visualization is optional and external) - Suitable for server, embedded, batch compute, containerized, and headless execution Dew.Signal.Linux provides the same API surface as Dew.Signal, but is optimized specifically for Linux compute environments where high throughput and deterministic performance are required.

v6.3.10↙ 9.6K
dotnetlinuxdspsignal-processingfiltering

Dew.Signal.Tee

Dew.Signal.Tee provides high-performance visualization components for the Dew.Signal DSP library, integrating signal analysis pipelines with TeeChart for real-time, interactive charting. Included Components: - **SignalChart**: time-domain waveform visualization with dynamic scaling, cursors, markers, triggers - **SpectrumChart**: frequency-domain visualization with FFT scaling helpers, peak markers, zoom tools - **High-speed series types** optimized for continuous data streams and large capture buffers - **Helpers** for band power measurement, harmonic peak highlighting, dB scaling, and unit conversions Use Cases: - Real-time audio / vibration / RF / instrumentation monitoring - Spectral analysis UIs: FFT, CZT, STFT, spectrogram panels - Oscilloscope-style and waterfall data visualization - Any Windows application requiring fast DSP visualization This package depends on Dew.Signal and Dew.Math.TeePro. It requires WinForms on Windows desktop TFMs. No cross-platform UI here — visualization-only layer.

v6.3.10↙ 2.7K
dotnetcsharpwindowswinformsteechart

Dew.Signal

Dew.Signal is a high-performance digital signal processing library built on top of Dew.Math, providing a comprehensive suite of optimized algorithms for real-time signal analysis, filtering, spectral estimation, modeling, and streaming signal workflows. The library is designed for scientific, engineering, audio, RF, vibration, instrumentation, control, and monitoring applications requiring both numerical accuracy and hardware-level performance on multi-core CPUs with AVX2/AVX512 support. Filter Design and Processing: - IIR filter design (Butterworth, Chebyshev I/II, Elliptic, Bessel), analog and digital domains - Order estimation, frequency transformations, bilinear and matched-Z transforms - State-space and zero-pole-numerator-domain modeling with group delay and stability analysis - FIR filter design using window methods and Remez exchange algorithm - FIR/Hilbert/differentiator/integrator design, Savitzky–Golay filtering, envelope detectors - Multi-rate filtering: half-band polyphase filters, decimation, interpolation, zoom-spectrum analysis Nonlinear and Adaptive Filters: - Sample-and-hold, sample-and-decay, and median filtering - High-quality rate conversion with 160dB stopband attenuation at high speed Spectral and Frequency-Domain Analysis: - FFT-based spectrum analyzer components with real-time UI integration support - Parametric spectral estimation: Yule–Walker, Burg, Covariance, Modified Covariance - Chirp-Z transform, bispectrum, bicoherence, transfer function, coherence estimation - Peak interpolation and peak-tracking enhancements, phase unwrapping - Real and complex cepstrum, inverse cepstrum - Spectral statistics: noise floor, SFDR, THD, THDN, SINAD, RMS, SNR measurements Signal Synthesis, Streaming, and Measurement: - Signal generators with stack-based vectorized function evaluation - Audio capture/playback with monitoring and triggering support - Data streaming and file format components for continuous acquisition and logging Forecasting and Time-Series Modeling: - Spectral forecasting based on controlled peak selection, enabling clear component-based prediction Integration and Extensions: - Works seamlessly with Dew.Math numeric structures (vectors/matrices) - Optional high-performance charting available via a separate Dew.Signal.Tee package (Windows visualization) - Part of the Dew Lab Studio ecosystem for unified math, DSP, and statistical analysis workflows Designed for reproducibility, determinism, and stable numerical behavior in long-running or real-time environments.

v6.3.10↙ 5.7K
dotnetcsharpdspsignal-processingfiltering