A low power architecture of real time stereo vision algorithm using discrete cosine transform

2017 ◽  
Author(s):  
K. B. Jinesh ◽  
K. J. Dhanaraj
Keyword(s):  
Low Power ◽  
Real Time ◽  
Discrete Cosine Transform ◽  
Stereo Vision ◽  
Cosine Transform ◽  
Vision Algorithm ◽  
Power Architecture

scholarly journals Improved Algorithm for ODCT Computation of a Running Data Sequence

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
S. Akhter ◽  
V. Karwal ◽  
R. C. Jain
Keyword(s):  
Real Time ◽  
Discrete Cosine Transform ◽  
Input Data ◽  
Time Sequence ◽  
Data Sequence ◽  
Cosine Transform ◽  
Rectangular Window ◽  
Sine Transform ◽  
Data Points ◽  
Transform Coefficients

Fast windowed update algorithms capable of independently updating the odd discrete cosine transform (ODCT) and odd discrete sine transform (ODST) of a running data sequence are analytically developed. In this algorithm, to compute the ODCT coefficients of a real-time sequence, we do not require the ODST coefficients. Similarly, the ODST coefficients of the shifted sequence can be calculated without using ODCT coefficients. The running input data sequence is sampled using a rectangular window. However, this idea can be easily extended for other windows. The update algorithm derived herein can be used to compute the transform coefficients of the shifted sequence as new data points are available. The complexity of developed algorithm isO(N). The validity of algorithm is tested by MATLAB simulations.

Polyphase-Basis Discrete Cosine Transform for Real-Time Measurement of Heart Rate With CW Doppler Radar

2018 ◽  
Vol 66 (3) ◽  
pp. 1644-1659 ◽  
Author(s):  
Junhyeong Park ◽  
Jong-Wook Ham ◽  
Seungwoon Park ◽  
Do-Hoon Kim ◽  
Seong-Jin Park ◽  
...  
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Discrete Cosine Transform ◽  
Doppler Radar ◽  
Time Measurement ◽  
Cosine Transform ◽  
Real Time Measurement

Repetitive Iteration CORDIC based Energy Efficient Image Compression for Portable Devices

2019 ◽  
Vol 26 (1) ◽  
pp. 1-8
Author(s):  
Naveen Cheggoju ◽  
Neha Nawandar ◽  
Vishal Satpute
Keyword(s):  
Image Compression ◽  
Low Power ◽  
Discrete Cosine Transform ◽  
Energy Efficient ◽  
The Other ◽  
Portable Devices ◽  
Compression Technique ◽  
Cosine Transform ◽  
Power Efficient ◽  
Joint Photographic Experts Group

The rapid advancements in technology in recent years have led to a massive increase in the exchange of data (images, videos, audio, etc.) between portable devices. This has invoked the necessity for building algorithms which consume low power with no compromise in the performance. In this paper, the above captioned issue is taken into account and accordingly an image compression technique using Repetitive Iteration CORDIC (RICO) architecture has been proposed. The proposed method is power efficient as it uses RICO for Discrete Cosine Transform (DCT) coefficient generation, and performs equally well when compared to Joint Photographic Experts Group (JPEG) standard. Results have been obtained via Matrix Laboratory (MATLAB) and they show that the proposed technique performs equally well and consumes less power in comparison with the other techniques.

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