In this work, Orthogonal Frequency Division Multiplexing (OFDM) is implemented on TMS320C6713 Digital Signal Processors (DSP) Starter Kit (DSK). Transmitter, receiver and communication channel are all implemented on a same kit. Firstly the design is tested within Matlab Simulink environment, and then by configuring C6713 DSK parameters, Simulink blocks relating to C6713 DSK are added into the design. The machine codes generated by compiling the design are loaded to the DSP kit. By comparing the voice signals generated via the simulation and the card, the obtained results are validated.
Nowadays, artificial movements have been obtained by utilizing other organs for paralyzed patients. Especially the usage of eye movements for giving message to outside world became popular as a scientific subject. In studies according to eye movements, the Electrooculogram (EOG) signal is used. In this study, the vertical and horizontal FOG signals taken from electrodes, placed around the eyes, have been modelled by using Artificial Neural Networks (ANN) which is one of artificial intelligent technique. The system can sense four main directions (Right, Left, Up and Down) at the same time it can also detect blinking movements. Firstl . . .y, the signals have been pre-filtered, amplified and classified by ANN. The performance of recommended model has been demonstrated by analyzing statistical accuracy and confusion matrix according to the features of obtained signal. It has been seen that eye movements can be successfully determined by designed model
We investigate the first-spike response latency dynamics of a single Hodgkin-Huxley neuron model with a tunable intensity of intrinsic noise and fraction of blocked voltage-gated sodium and potassium ion channels embedded in biological membranes. In contrast to previous studies, we consider a biophysically realistic neuron model which contains stochastic ion channels. We show that potassium ion channels play a key role than sodium ion channels on the appearance of the noise delayed decay (NDD) effect in the first-spike timing.
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