libdspl2.0
Digital Signal Processing Algorithm Library

DSPL2.0 — free DSP algorithm library
DSPL2.0 — opensource crossplatform digital signal processing algorithm library, written in C language.
Distributed under LGPL v3 license. This allows to use this library in all applications with dynamic linking.
Source codes are available on GitHub.
DSPL2.0 includes follow algorithms sets:
 Digital spectral analysis, discrete and fast Fourier transform algorithms.
 Analog and digital IIR filters design and analysis.
 Digital FIR filters design and analysis.
 Windows function collection includes 15 different parametric and nonparametric window functions.
 Digital Hilbert transform algorithms.
 Mathematical sections includes trigonometric, hyperbolic, elliptic functions of real and complex variables.
 Pseudorandom numbers generation algorithms.
 Statistic functions.
 Linar algebra algorithms (BLAS and LAPACK packages are used under the hood of the DSPL2.0 library).
 Digital resampling algorithms.
Build and run DSPL2.0
To build the DSPL2.0 library on Windows, a special set of programs dsplib toolchain is provided. Dsplib toolchain includes GCC, GNUPLOT, CodeBlocks IDE, Far file manager and also Unix utilities for Windows OS.
Install DSPLIB toolchain on Windows
Build libdspl2.0 by make program
Build libdspl2.0 by CodeBlocks IDE
DSPL2.0 Dynamic linking functions.
Documentation content
Mathematical sections:
 Basic operations for real and complex arrays.
 Basic math functions of the real and complex arguments.
 Polynomial functions and analysis.
 Trigonometric and hyperbolic of functions the real and complex arguments.
 Transcendent math functions
 Elliptic Jacobi functions of the real and complex arguments.
 Pseudorandom numbers generation
 Math statistic functions.
 Linear algebra and matrix operations.
Digital spectral analysis:
 Discrete Fourier transform and fast Fourier transform algorithms
 Windows function for filter design and spectrum analysis.
 Digital spectral analysis
 Hilbert transform algorithms.
Analog and digital filters design and analysis:
 Convolution and digital filtration.
 IIR filters design.
 FIR filter design.
 Analog and digital filter analysis.
Other algortithms:
 Digital samplerate conversion (resampling)
 Input and output data from external files.
 Plotting data by Gnuplot interface.
Appendix
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