Dew.Signal.Core 6.3.8

Dew.Signal.Core

Cross-platform Digital Signal Processing (DSP) Library for .NET

Dew.Signal.Core is the cross-platform, managed-only edition of the Dew.Signal DSP library. It provides a comprehensive suite of signal processing algorithms without requiring native CPU acceleration. This makes it suitable for Windows, Linux, macOS, mobile, sandboxed plugin environments, compute services, and WebAssembly.

It is built on top of Dew.Math.Core, which provides managed vector and matrix operations.

Key Features

Filter Design and Processing

• IIR filter design: Butterworth, Chebyshev I/II, Elliptic, and Bessel filters
• Analog and digital design workflows
• Frequency transformations in S and Z domains
• Bilinear and Matched-Z transforms
• Group delay analysis and stability checks
• State-space, zero-pole-numerator, and transfer function modeling
• FIR filter design using window methods and the Remez exchange algorithm
• Hilbert transformers, differentiators, integrators, Savitzky-Golay smoothing, envelope detectors
• Multi-rate processing: half-band multistage FIR design, decimation, interpolation, zoom-spectrum analysis

Nonlinear Processing

• Sample-and-hold, sample-and-decay, and median filtering

Spectral Analysis and Estimation

• FFT-based and CZT spectral analysis
• Parametric spectral estimation: Yule-Walker, Burg, Covariance, Modified-Covariance
• Real and complex cepstrum, inverse cepstrum
• Bispectrum, bicoherence, coherence and transfer function estimation
• Peak detection, peak interpolation and tracking, phase unwrapping
• Spectral measurements: noise floor, SFDR, THD, THDN, SINAD, RMS, SNR

System Modeling and Linear Representations

• Conversion between state-space, zero-pole, and numerator-denominator transfer models
• Zero and pole determination and stability analysis

Signal Synthesis, Streaming, and Measurement

• Signal generators with stack-based vectorized function evaluation
• Noise models: white, pink, brownian, blue, violet
• Components for continuous streaming, recording, playback, triggering, and monitoring
• Scalable FIR and IIR convolution
• Auto-correlation and cross-correlation
• DCT and inverse DCT

Time-Series Forecasting

• Spectral forecasting based on controlled peak selection for interpretable predictive modeling

Integration and Platform Notes

• Uses Dew.Math.Core for managed numerical operations
• Visualization is optionally available via Dew.Signal.Tee (Windows-only charting), not included in this package
• Suitable for cross-platform UI frameworks such as MAUI, Uno, Avalonia, Eto, and for WASM runtime environments

Dew.Signal.Core is ideal for environments where portability, sandbox safety, or runtime plugin isolation is required.

Examples

• WinForms (.NET Core / .NET 6-9): https://github.com/Dew-Research/DewLabStudio-NETCore-Samples

• Organization Home: https://github.com/Dew-Research

Documentation

• API Reference: https://www.dewresearch.com/Help/VSNET/DSPMaster/contents.html
• User Guide (PDF): http://downloads.dewresearch.com/downloads/SignalV6-CSharp.pdf
• Product Page: https://www.dewresearch.com/products/dsp-master/dsp-master-for-visual-studio-net
• NuGet Publisher Profile: https://www.nuget.org/profiles/DewResearch/
• License: https://www.dewresearch.com/downloads/LicenseNET.pdf

License

Commercial license. See DewDSPLicense.txt included in this package. All Dew.* NuGet packages on nuget.org are trial versions and work from inside Visual Studio IDE only.