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Dynamic range compressor - MATLAB

    https://www.mathworks.com/help/audio/ref/compressor-system-object.html#:~:text=%20audioOut%20%3D%20dRC%20%28audioIn%29%20performs%20dynamic%20range,applied%20gain%2C%20in%20dB%2C%20at%20each%20input%20sample.
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5.3.8 Algorithms for Audio Companding and …

    http://digitalsoundandmusic.com/5-3-8-algorithms-for-audio-companding-and-compression/
    Let’s look at the steps in this algorithm more closely. 1. Divide the audio signal in frames. MP3 compression processes the original audio signal in frames of 1152 samples. Each frame is split into two granules of 576 samples each. Frames are encoded in a number of bytes consistent with the bit rate set for the compression at hand.

Audio Dynamics 101: Compressors, Limiters, Expanders, …

    https://www.izotope.com/en/learn/audio-dynamics-101-compressors-limiters-expanders-and-gates.html
    A compressor is used to reduce a sound’s dynamic range—that is, to make the louder and quieter parts of the performance closer to each other in level. Why use compression? One common reason is to attenuate loud transient peaks, such as a singer that suddenly belts out a high note in the middle of a gentle ballad, which could be jarring to the ear.

Dynamic range compressor - MATLAB

    https://www.mathworks.com/help/audio/ref/compressor-system-object.html
    audioOut = dRC(audioIn) performs dynamic range compression on the input signal, audioIn, and returns the compressed signal, audioOut. The type of dynamic range compression is specified by the algorithm and properties of the compressor System object, dRC.

Dynamic Range Processing - Compressor ... - junger.audio

    https://junger.audio/en/algorithms/dynamics/dynamic-range-processing-compressor-expander-and-soft-limiter
    Dynamic range processing has been Jünger Audio’s core competence for more than 25 years. Multi-Band vs. Multi-Loop Design All processes follow a common objective to preserve the highest possible sonic transparency while working adaptively with minimal human interaction.

Digital Audio Compression - Columbia University

    https://www.ee.columbia.edu/~dpwe/papers/Pan93-acomp.pdf
    puter multimedia data. The IMA’s goal for its audio compression proposal was to select a public-domain audio compression algorithm able to provide good compressed audio quality with good data compres-sion performance. In addition, the algorithm had to be simple enough to enable software-only, real-time decompression of stereo, 44.1-kHz-sampled, audio

Digital Dynamic Range Compressor Design— A …

    https://www.eecs.qmul.ac.uk/~josh/documents/2012/GiannoulisMassbergReiss-dynamicrangecompression-JAES2012.pdf
    provide recommendations for high performance compressor design. 0 INTRODUCTION1 Dynamic Range Compression (DRC) is the process of mapping the dynamic range of an audio signal to a smaller range [1-2], i.e., reducing the signal level of the higher peaks while leaving the quieter parts untreated. DRC is usedextensivelyinaudiorecording,productionwork,noise

Simple Audio Compression Methods

    https://users.ece.utexas.edu/~ryerraballi/MSB/pdfs/M4L4.pdf
    Compression factor ranging from 2.7 to 24. With Compression rate 6:1 (16 bits stereo sampled at 48 KHz is reduced to 256 kbits/sec) Under optimal listening conditions, expert listeners could not distinguish between coded and original audio clips. Supports one or two audio channels in one of the four modes: 1. Monophonic -- single audio channel 2.

Under the hood of a dynamic range compressor.ppt

    http://c4dm.eecs.qmul.ac.uk/audioengineering/compressors/documents/Reiss-Tutorialondynamicrangecompression.pdf
    Introducing the dynamic range compressor map dynamic range of audio signal to smaller range àReduce signal level of higher peaks while leaving quieter parts untreated àThen (optionally) boosting whole signal to make it as loud as, or louder than, original uncompressed signal Unlike gaingain, delaydelay, EQEQ, panningpanning...

GitHub - velipso/sndfilter: Algorithms for sound filters ...

    https://github.com/velipso/sndfilter
    Compressor; Low-Pass (Cutoff, Resonance) High-Pass (Cutoff, Resonance) Band-Pass (Frequency, Q) Notch/Band-stop (Frequency, Q) Peaking (Frequency, Q, Gain) All-Pass (Frequency, Q) Low Shelf (Frequency, Q, Gain) High Shelf (Frequency, Q, Gain) Implementation. The reverb.c, compressor.c, and biquad.c are the core algorithms.

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