KFR is an open source C++ DSP framework that contains high performance building blocks for DSP, audio, scientific and other applications. It is distributed under dual GPLv2/v3 and commercial license. New features, performance improvements, easier setup. ️ What's new in KFR6. ️ Upgrade from a previous version.

Lightweight, header-only C++14 metaprogramming library. Pattern matching, compile-time stuffs and algorithms (arrays, type information (CTTI), string manipulation), 'value-or-errorcode' union-like type, type for passing named arguments, useful constexpr functions and many more. (MIT license) Loading… KFR has 8 repositories available.

KFR has one of the fastest implementation of FFT as well as filter processing, filter design, convolution and resampling. It supports Intel, AMD, ARM and Apple cpus as well as all available SIMD for maximum speed on any device. univector<float> input; univector<complex<float>> output = realdft(input); Copyright © 2016-2024 KFR. All rights reserved.

2018年12月24日 · path to kfr是这个路径，成功后出现build,里边是vs的工程。 打开后是好几个例子，主要使用就是把include放到附加包含目录，不过我用的卡的飞起， intellisense 特别慢，后来把intellisense关了，猜测可能是因为这个项目 使用c++ 模板写的原因，装了个番茄助手使用，不过还是vs自带提示好用。 文章浏览阅读1.5k次。 最近在搞音效编程，在github上发现一个dsp库，用模板写的，所以直接拿来用了。 这个库最坑的是要使用clang7.0往上才能用，vs2017配 …

Many KFR functions, such as DFT, receive and return data through univector class. If it's possible, use univector in your code as a storage for all data that may be passed to KFR functions. But if you already have data and need to pass it to KFR, you may use make_univector function that constructs univector<T, 0> from the pointer and the size ...

KFR 6 Documentation¶ Getting started¶ What's new in KFR 6; Installation; Basics; Expressions; C API; Upgrade to KFR 6; Guides¶ DSP¶ How to apply a FIR filter; How to apply a Biquad filter; How to do Sample Rate Conversion; How to apply Convolution Reverb; How to measure loudness according to EBU R 128; How to convert sample type; How to ...

KFR¶ Features¶ All code in the library is optimized for Intel, AMD (SSE2, SSE3, SSE4.x, AVX and AVX2 and AVX512) and ARM (NEON) processors; Mathematical and statistical functions; Template expressions (See examples) All data types are supported including complex numbers; All vector lengths are also supported.

KFR is an open source C++ DSP framework that contains high performance building blocks for DSP, audio, scientific and other applications. It is distributed under dual GPLv2/v3 and commercial license. New features, performance improvements, easier setup. ️ What's new in KFR6. ️ Upgrade from a previous version.

KFRlib is an open-source cross-platform C++ DSP framework written in C++. It is covered by a dual GPL/commercial license. KFR is supported on the following platforms. [1]

2016年9月12日 · In this article I’ll show you how to use Fast Fourier Transform in Digital Signal Processing and how to apply forward and inverse FFT on complex and real data using the KFR framework. How C++14 and C++17 help to write faster (and better) code. Real world examples. Writing high performance code is always a difficult task.