No abstract

The implementation of blind image processing required a solid background knowledge of the design and description languages of the material. This paper describes an effective method for implementing real-time blind image separation algorithms on hardware, without needing a comprehensive knowledge of hardware design and description languages(VHDL).This study concerns the separation of a mixture of images, with no prior information on the images or on the way they have been mixed together. It describes the methodology for implementing real-time DSP applications on FPGAs and the concept of hardware/software co-simulation of the blind image separation algorithm using MATLAB Simulink and Xilinx System Generator (XSG).The performance of efficient architectures is implemented on the ZYBO Z7 Zynq-7020 FPGA.

Maximum power point tracking (MPPT) algorithms are used in photovoltaic applications to extract the maximum power that the photovoltaic (PV) panel can produce, which depends on two inputs that are: temperature and irradiance. A DC-DC converter is inserted between the photovoltaic panel and the load to obtain the desired voltage level on the load side. In this paper, incremental conductance (INC) algorithm, modified INC, and fuzzy logic controller (FLC) are designed and assessed to improve energy conversion efficiency. These algorithms are applied to the control of boost converter for tracking the maximum power point (MPP). The modified INC offers fast response and good performance in terms of oscillations than conventional INC and FLC. The Matlab/Simulink environment is used to analyze, interpret the simulation results, and show the performances of each algorithm; and Proteus-based Arduino environment is used to implement the three methods in order to compare the Matlab simulation results with measurements acquired during implementation that is similar to real experiment.

This paper presents a comparison between two blind source separation methods: the first one based on a microcontroller board such as Arduino Due by the RTW (Real-Time Workshop) integrated into Matlab Simulink and the second one based on a DSP board (TMS320c6713). This study compared the space occupied, the execution speed and the separation index between the two platforms Arduino and DSP. The separation was practically simulated on the Arduino Due and TMS320c6713 board by two signal generators and an oscilloscope.

No abstract