The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 17, 2020

Filed:

Mar. 18, 2019
Applicant:

Waveone Inc., Mountain View, CA (US);

Inventors:

Carissa Lew, San Jose, CA (US);

Steven Branson, Woodside, CA (US);

Oren Rippel, Mountain View, CA (US);

Sanjay Nair, Fremont, CA (US);

Alexander Grant Anderson, Mountain View, CA (US);

Lubomir Bourdev, Mountain View, CA (US);

Assignee:

WaveOne Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H03M 7/30 (2006.01); G06F 17/18 (2006.01); H03M 7/02 (2006.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); H04N 19/132 (2014.01);
U.S. Cl.
CPC ...
H03M 7/3066 (2013.01); G06F 17/18 (2013.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01); H03M 7/02 (2013.01); H04N 19/132 (2014.11);
Abstract

A compression system includes an encoder and a decoder. The encoder can be deployed by a sender system to encode a tensor for transmission to a receiver system, and the decoder can be deployed by the receiver system to decode and reconstruct the encoded tensor. The encoder receives a tensor for compression. The encoder also receives a quantization mask and probability data associated with the tensor. Each element of the tensor is quantized using an alphabet size allocated to that element by the quantization mask data. The encoder compresses the tensor by entropy coding each element using the probability data and alphabet size associated with the element. The decoder receives the quantization mask data, the probability data, and the compressed tensor data. The quantization mask and probabilities are used to entropy decode and subsequently reconstruct the tensor.


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