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https://github.com/lsp-plugins/lsp-dsp-lib

DSP library for signal processing
https://github.com/lsp-plugins/lsp-dsp-lib

aarch64 algorithms architectures armv7 assembly convolution-algorithms dsp dsp-library fft fma3 lsp-dsp-lib processing-algorithms simd simd-instructions simd-library x86-32 x86-64

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DSP library for signal processing

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README 

        
# lsp-dsp-lib



DSP library for digital signal processing (and more)



This library provides set of functions that perform SIMD-optimized

computing on several hardware architectures.



Currently supported set of SIMD extensions:

  * i586 architecture (32-bit): SSE, SSE2, SSE3, AVX, AVX2, FMA3 and AVX512;

  * x86_64 architecture (64-bit): SSE, SSE2, SSE3, AVX, AVX2, FMA3 and AVX512;

  * armv7 architecture (32-bit): NEON;

  * AArch64 architecture (64-bit): ASIMD.



All functions currently operate on IEEE-754 single-precision floating-point numbers.



Current set of functions provided:

  * Functions that gather system information and optimize CPU for better computing;

  * Cooley-Tukey 1-dimensional FFT algorithms with unpacked complex numbers;

  * Cooley-Tukey 1-dimensional FFT algorithms with packed complex numbers;

  * Direct convolution algorithm;

  * Fast convolution functions that enhance performance of FFT-based convolution algorithms;

  * Biquad static filter transform and processing algorithms;

  * Biquad dynamic filter transform and processing algorithms;

  * Floating-point operations: copying, moving, protection from NaNs and denormals;

  * Parallel arithmetics functions on long vectors including fused multiply operations;

  * Basic unpacked complex number arithmetics;

  * Basic packed complex number arithmetics;

  * Some functions that operate on RGB and HSL colors and their conversions;

  * Mid/Side matrix functions for converting Stereo channel to Mid/Side and back;

  * Functions for searching minimums and maximums;

  * Resampling functions based on Lanczos filter;

  * Interpolation functions;

  * Some set of function to work with 3D mathematics.



## Supported platforms



The build and correct unit test execution has been confirmed for following platforms:

* FreeBSD

* GNU/Linux

* OpenBSD

* Windows 32-bit

* Windows 64-bit



## Supported architectures



The support of following list of hardware architectures has been implemented:

* i386 (32-bit) - full support (AVX-512 on the way).

* x86_64 (64-bit) - full support (AVX-512 on the way).

* ARMv6A - full support.

* ARMv7A - full support.

* AArch64 - full support.



For all other architectures the generic implementation of algorithms is used, without any

architecture-specific optimizations. 



## Requirements



The following packages need to be installed for building:



* gcc >= 4.9

* make >= 4.0



## Building



To build the library, perform the following commands:



```bash

make config # Configure the build

make fetch # Fetch dependencies from Git repository

make

sudo make install

```



To get more build options, run:



```bash

make help

```



To uninstall library, simply issue:



```bash

make uninstall

```



To clean all binary files, run:



```bash

make clean

```



To clean the whole project tree including configuration files, run:



```bash

make prune

```



To fetch all possible dependencies and make the source code tree portable between

different architectures and platforms, run:



```bash

make tree

```



To build source code archive with all possible dependencies, run:



```bash

make distsrc

```



## Usage



Here's the code snippet of how the library can be initialized and used in C++:



```C++

#include 

#include 

#include 



int main(int argc, const char **argv)

{

    // Initialize DSP

    lsp::dsp::init();



    // Optionally: output information about the system

    lsp::dsp::info_t *info = lsp::dsp::info();

    if (info != NULL)

    {

        printf("Architecture:   %s\n", info->arch);

        printf("Processor:      %s\n", info->cpu);

        printf("Model:          %s\n", info->model);

        printf("Features:       %s\n", info->features);



        ::free(info);

    }

    

    // For faster computing we can tune CPU by updating thread context.

    // This will enable Flush-to-Zero and Denormals-are-Zero flags on

    // CPUs that support them. This is thread-local change and should

    // be called in each individual processing thread

    lsp::dsp::context_t ctx;

    lsp::dsp::start(&ctx);

    

    // Here we call some dsp functions, for example dsp::fill_zero

    float v[0x1000];

    lsp::dsp::fill_zero(v, sizeof(v)/sizeof(float));

    

    // At the end, we need to restore the context and reset CPU settings to defaults

    lsp::dsp::finish(&ctx);

    

    return 0;

}



```



Also all functions can be accessed from pure C with ```lsp_dsp_``` prefix in the funcion and type names:



```C

#include 

#include 

#include 



int main(int argc, const char **argv)

{

    // Initialize DSP

    lsp_dsp_init();



    // Optionally: output information about the system

    lsp_dsp_info_t *info = lsp_dsp_info();

    if (info != NULL)

    {

        printf("Architecture:   %s\n", info->arch);

        printf("Processor:      %s\n", info->cpu);

        printf("Model:          %s\n", info->model);

        printf("Features:       %s\n", info->features);



        free(info);

    }

    

    // For faster computing we can tune CPU by updating thread context.

    // This will enable Flush-to-Zero and Denormals-are-Zero flags on

    // CPUs that support them. This is thread-local change and should

    // be called in each individual processing thread

    lsp_dsp_context_t ctx;

    lsp_dsp_start(&ctx);

    

    // Here we call some dsp functions, for example lsp_dsp_fill_zero

    float v[0x1000];

    lsp_dsp_fill_zero(v, sizeof(v)/sizeof(float));

    

    // At the end, we need to restore the context and reset CPU settings to defaults

    lsp_dsp_finish(&ctx);

    

    return 0;

}



```



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