Efficient coding of high frequency signal information in a signal using a linear/non-linear prediction model based on a low pass baseband

2007 ◽  
Vol 122 (3) ◽  
pp. 1320
Author(s):  
Deepen Sinha
Keyword(s):  
Prediction Model ◽  
High Frequency ◽  
Linear Prediction ◽  
Frequency Signal ◽  
High Frequency Signal ◽  
Efficient Coding ◽  
Model Based ◽  
Non Linear ◽  
Low Pass ◽  
Linear Prediction Model

scholarly journals A non-linear prediction model for ageing foetal and neonatal sheep reveals basic issues in early neolithic husbandry

2021 ◽  
pp. 105344
Author(s):  
Nadja Pöllath ◽  
Ricardo García-González ◽  
Sevag Kevork ◽  
Ursula Mutze ◽  
Michaela I. Zimmermann ◽  
...  
Keyword(s):  
Prediction Model ◽  
Linear Prediction ◽  
Early Neolithic ◽  
Non Linear ◽  
Linear Prediction Model

Research on a Model of Reverberation

2013 ◽  
Vol 321-324 ◽  
pp. 1117-1122
Author(s):  
Li Cai Zhang ◽  
Xiao Juan Tong
Keyword(s):  
High Frequency ◽  
Simple Structure ◽  
Complex Structure ◽  
Chebyshev Approximation ◽  
Comb Filter ◽  
Frequency Signal ◽  
High Frequency Signal ◽  
Low Pass ◽  
Absorption Characteristics ◽  
Approximation Criterion

Against defects of lacking consideration of air absorption characteristics to the high frequency signal in Schroeder reverberation model, and the more complex structure in Moorer reverberation model, use equiripple Chebyshev approximation criterion to design 4 FIR comb filter with low-pass characteristics and make the FIR filters in parallel, to get a pure parallel reverberation model. This reverberation model considers the absorption characteristics of air to the high-frequency signal, and has a more simple structure.

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