Implementation of low sampling rate algorithm
Compressed learning integrates signal processing together with machine learning for inference from a signal with minimal measurements from a linear projection. Traditional image classification models learn directly from training images that are only processed for image augmentation and reshaping to...
Main Author: | Tan, Michael Teck Xin |
---|---|
Other Authors: | Erry Gunawan |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/157380 |
Similar Items
-
Design and implementation of multi-mode variable bit-rate modulator and high bit-rate demodulator for low earth orbit satellites
by: Tai, Wei Chua
Published: (2008) -
An ultra low-power precision sample-and-hold circuit for biomedical application
by: Mah, Sai Lei
Published: (2010) -
Auditory models for low-bit rate audio coders
by: Kundapur Sandeep.
Published: (2010) -
A novel sampling process with low harmonic distortion for a digital class D amplifier
by: Fang, Yu
Published: (2008) -
An intrinsic algorithm for parallel Poisson disk sampling on arbitrary surfaces
by: Ying, Xiang, et al.
Published: (2013)