Dew.Signal.Linux 6.3.10

dotnet add package Dew.Signal.Linux --version 6.3.10
                    
NuGet\Install-Package Dew.Signal.Linux -Version 6.3.10
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Dew.Signal.Linux" Version="6.3.10" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Dew.Signal.Linux" Version="6.3.10" />
                    
Directory.Packages.props
<PackageReference Include="Dew.Signal.Linux" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add Dew.Signal.Linux --version 6.3.10
                    
#r "nuget: Dew.Signal.Linux, 6.3.10"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package Dew.Signal.Linux@6.3.10
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=Dew.Signal.Linux&version=6.3.10
                    
Install as a Cake Addin
#tool nuget:?package=Dew.Signal.Linux&version=6.3.10
                    
Install as a Cake Tool

Dew.Signal.Linux

High-performance Digital Signal Processing (DSP) for Linux

Dew.Signal.Linux is the Linux-native accelerated edition of the Dew.Signal DSP library. It provides a full suite of signal processing algorithms built on top of Dew.Math.Linux, using multithreaded AVX/AVX2/AVX-512 hardware acceleration for high-throughput numerical processing.

This package is designed for scientific servers, compute clusters, HPC pipelines, digital instrumentation, real-time data acquisition systems, industrial analytics, embedded Linux platforms, and cloud CPU workloads.


Key Features

Filter Design and Processing

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

Spectral and Frequency-Domain Analysis

  • FFT-based spectral analysis and streaming spectrum analyzer infrastructure
  • Parametric estimators: Yule-Walker, Burg, Covariance, Modified-Covariance
  • Chirp-Z transform and time-frequency spectrogram computation
  • Bispectrum, bicoherence, coherence and transfer function estimation
  • Phase unwrapping and peak interpolation
  • Real and complex cepstrum and inverse cepstrum
  • Spectral statistics: noise floor, SFDR, THD, THDN, SINAD, RMS, SNR

Signal Modeling, Streaming, and Synthesis

  • Signal generators for deterministic, white, pink, brownian, blue, and violet noise
  • Components for continuous streaming, playback, logging, triggering, and measurement
  • High-performance convolution and correlation
  • 1D and 2D filtering, DCT and inverse DCT
  • Spectral forecasting based on user-selected peak components

Platform and Integration

  • Uses Dew.Math.Linux as the native-accelerated numerical backend
  • Does not require WinForms or TeeChart
  • Optional visualization is available via Dew.Signal.Tee (Windows-only), not included here
  • Suitable for server, embedded, headless, and containerized deployments
  • Provides the same API surface as Dew.Signal, optimized specifically for Linux workloads

This makes Dew.Signal.Linux well suited for batch processing, industrial control, vibration monitoring, seismic data analysis, RF systems, and automated instrumentation.


General repository: https://github.com/Dew-Research


Documentation


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.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 is compatible.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on Dew.Signal.Linux:

Package Downloads
Dew.Lab.Studio.Linux

Dew.Lab.Studio.Linux bundles the native-accelerated Linux editions of the Dew libraries: Dew.Math.Linux, Dew.Signal.Linux, and Dew.Stats.Linux. This package is intended for Linux desktops, servers, HPC clusters, and container-based compute environments requiring high numerical throughput and scalable parallel execution. Included Components: - Dew.Math.Linux: dense and sparse linear algebra (BLAS/LAPACK, Pardiso, UMFPACK), complex arithmetic, interpolation and splines, spectral and polynomial transforms, optimization, curve fitting, special function library, numerical integration/differentiation - Dew.Signal.Linux: FIR/IIR filtering, FFT and spectral analysis, convolution/correlation, windowing, resampling, time-frequency transforms, streaming-friendly DSP operations - Dew.Stats.Linux: probability distributions, random sampling, inference tests, regressions, statistical modeling and simulation workflows Performance Architecture: - Native-accelerated BLAS/LAPACK for Linux - CPU feature dispatch (AVX / AVX2 / AVX-512) - Scalable multithreading with low-GC memory allocator - Optional OpenCL GPU acceleration when available Use Dew.Lab.Studio.Linux when you require a unified math + DSP + statistics environment on Linux, with full native acceleration and container/HPC-friendly runtime deployment.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
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