A spatial encoding method for measured room impulse responses

2012 ◽  
Vol 132 (3) ◽  
pp. 1913-1913
Author(s):  
Sakari Tervo ◽  
Jukka Pätynen ◽  
Tapio Lokki
Keyword(s):  
Impulse Responses ◽  
Spatial Encoding ◽  
Encoding Method

A new nonlinear spatial encoding method for cascadable fuzzy logic

1994 ◽  
Vol 107 (5-6) ◽  
pp. 461-470 ◽  
Author(s):  
Senmao Lin ◽  
Itsuo Kumazawa
Keyword(s):  
Fuzzy Logic ◽  
Spatial Encoding ◽  
Encoding Method

Variable Precision Depth Encoding for 3D Range Geometry Compression

2020 ◽  
Vol 2020 (17) ◽  
pp. 34-1-34-7
Author(s):  
Matthew G. Finley ◽  
Tyler Bell
Keyword(s):  
Normal Distribution ◽  
Arbitrary Distribution ◽  
File Size ◽  
Geometry Compression ◽  
Variable Precision ◽  
Wide Range ◽  
Novel Method ◽  
Encoding Method ◽  
Rgb Image ◽  
Color Channels

This paper presents a novel method for accurately encoding 3D range geometry within the color channels of a 2D RGB image that allows the encoding frequency—and therefore the encoding precision—to be uniquely determined for each coordinate. The proposed method can thus be used to balance between encoding precision and file size by encoding geometry along a normal distribution; encoding more precisely where the density of data is high and less precisely where the density is low. Alternative distributions may be followed to produce encodings optimized for specific applications. In general, the nature of the proposed encoding method is such that the precision of each point can be freely controlled or derived from an arbitrary distribution, ideally enabling this method for use within a wide range of applications.

Reducing the effect of crosstalk noise from defocused multi-depth holographic image with a rasterize encoding method

2019 ◽  
pp. 955
Author(s):  
Siao-Ting Li ◽  
Chih-Hao Chuang ◽  
Chung Feng Kuo ◽  
Hoang-Yan Lin ◽  
Chin-I Huang ◽  
...  
Keyword(s):  
Crosstalk Noise ◽  
Holographic Image ◽  
Encoding Method
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