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Preface
(Springer Nature, 2019)
N/A
Lossless look-up table compression for hardware implementation of transcendental functions
(IEEE, 2019)
Look-Up Table (LUT) implementation of transcendental functions often offers lower latency compared to algebraic implementations at the expense of significant area penalty. MultiPartite table method (MP) can circumvent the ...
Fast and efficient implementation of lightweight crypto algorithm PRESENT on FPGA through processor instruction set extension
(IEEE, 2019)
As Internet of Things (IoT) technology becomes widespread, the importance of information security increases. PRESENT algorithm is a major lightweight symmetric-key encryption algorithm for IoT devices. Compared to the ...
Tools and techniques for implementation of real-time video processing algorithms
(Springer Nature, 2019-01)
This paper describes flexible tools and techniques that can be used to efficiently design/generate quite a variety of hardware IP blocks for highly parameterized real-time video processing algorithms. The tools and techniques ...
Software UART: A use case for VSCPU worst-case execution time analyzer
(IEEE, 2019)
This paper presents our early results of the development of a Worst-Case Execution Time (WCET) analyzer for VSCPU by implementing a software UART system. Our WCET analyzer takes a C program as input and gives the time taken ...
FPGA based DCO-OFDM PHY transceiver for VLC systems
(IEEE, 2019)
Satisfying the demand for high bandwidth and low latency in Visible Light Communication (VLC) systems is a difficult challenge. VLC channels exhibit frequency-selectiveness at peak-speeds. This phenomenon generates a serious ...
SOC estimation for li-Ion batteries using extended kalman filter with PID controlled process noise according to the voltage error
(IEEE, 2019)
State of Charge (SOC) estimation is critical for battery powered devices in order to find out the remaining charge level. This process is relatively straightforward when the battery is in the resting state. However, it can ...
Electric vehicle model parameter estimation with combined least squares and gradient descent method
(IEEE, 2019)
Energy management algorithms have a crucial role in electric vehicles due to their limited driving range. For an energy management algorithm to be effective, we should model the vehicle as accurately as possible. That is, ...
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