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US8725504B1 - Inverse quantization in audio decoding ...
https://patents.google.com/patent/US8725504B1/en#:~:text=US8725504B1%20-%20Inverse%20quantization%20in%20audio%20decoding%20-,range%20or%20a%20second%20range%20of%20possible%20values.
US8725504B1 - Inverse quantization in audio decoding ...
https://patents.google.com/patent/US8725504B1/en
An interpolated inverse quantization value is calculated from the quantized integral value, using a predetermined bit shifting operation, depending on whether the quantized integral value was in...
US8255234B2 - Quantization and inverse quantization for ...
https://patents.google.com/patent/US8255234B2/en
An audio decoder performs corresponding inverse processing and decoding. An audio encoder and decoder use architectures and techniques that …
Quantization and inverse quantization for audio ...
https://www.freepatentsonline.com/y2004/0044527.html
An audio encoder and decoder use architectures and techniques that improve the efficiency of quantization (e.g., weighting) and inverse quantization (e.g., inverse weighting) in audio coding and decoding. The described strategies include various techniques and tools, which can be used in combination or independently.
A novel architecture of inverse quantization and ...
https://www.researchgate.net/publication/3325450_A_novel_architecture_of_inverse_quantization_and_multichannel_processing_for_MPEG-2_audio_decoding
Non-linear inverse quantization is essential in both MPEG-1 Layer-3 and MPEG-2/4 advanced audio coding (AAC). The proposed algorithm is optimized for the non-linear inverse quantization.
Novel Non-linear Inverse Quantization Algorithm and its ...
https://www.researchgate.net/publication/4256373_Novel_Non-linear_Inverse_Quantization_Algorithm_and_its_Architecture_for_Digital_Audio_Codecs
Non-linear inverse quantization is essential in both MPEG-1 Layer-3 and MPEG-2/4 advanced audio coding (AAC). The proposed algorithm is optimized for the non-linear inverse quantization.
inverse quantization - DSPRelated.com
https://www.dsprelated.com/thread/8399/inverse-quantization
I'm assuming you're referring to inverse quantization process as in audio, video or image CODECs. if that is the case, if you know quantization then you can guess inverse quantization.. for example, in JPEG encoding, the DCT coeff are computed from the pixel matrix. the coeff computed are zig-zag scanned, dc removed and entropy coded. since entropy coding …
Quantization
http://www.eul.ink/audio/Quantization/Quantization.pdf
provide an encodemethod for the forward quantization, a decodemethod for the inverse quantization and would be callable so that quantizer(x)would ap-ply both steps to the data x. Such objects could inherit the following Quantizer ... Let’s consider the …
Temporal Noise Shaping, Quantization And Coding Methods …
https://mp3-tech.org/programmer/docs/Temporal%20Noise%20Shaping%20Quantization%20and%20Coding%20Methods%20in%20Perceptual%20Audio%20Coding%20-%20A%20Tutorial%20Introduction.pdf
• The inverse quantization of the quantized spectral values is carried out. • The spectral values are mapped back into a time domain representation using a synthesis filterbank. This paper provides a tutorial overview over certain aspects of perceptual audio coding and is structured as follows: The first part of the paper will address the
MPEG-4 General Audio Coding
https://sound.media.mit.edu/resources/mpeg4/audio/general/aes106_1-GeneralAudio.pdf
Audio Input Inverse Quantization Synthesis Filterbank Audio Output Bitstream In Bitstream Demultiplexer Encoder Decoder Noise Detection Noise subst. signaling Substituted signal energies Noise Generator Noise subst. signaling Substituted signal energies. Dr. Jürgen Herre, [email protected] Seite 11
Quantization (signal processing) - Wikipedia
https://en.wikipedia.org/wiki/Quantization_(signal_processing)
Quantization, in mathematics and digital signal processing, is the process of mapping input values from a large set (often a continuous set) to output values in a (countable) smaller set, often with a finite number of elements. Rounding and truncation are typical examples of quantization processes.
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