Search results for: M.H. Zarifi
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There have been significant advances in fabrication of high-density microelectrode arrays using silicon micromachining technology in neural signal recording systems. The interface between microelectrodes and chemical environment brings great interest to researchers working on extracellular stimulation. This interface is quite complex and must be modeled carefully to match experimental results. Computer...
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A fully differential, low-power, area-efficient analog to digital converter has been designed and simulated for implantable neural signal recording systems. Proposed ADC consisted of an analog stage, similar to a pipeline converter stages but reused it to extract the final effective bits. This paper presents a 9-bit 1-MSample/s analog to digital converter with stage reused technique that has been...
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The sample and hold circuit is perhaps the most important building block in most data acquisition systems such as data converter. Flexibility of this block can be used to improve the whole performance of the system. In this work a flexible structure with variable gain is presented. The circuit is used to calibrate a typical time interleaved analog to digital converter. Simulation results indicated...
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Widely used demodulation technique in EIT/EIS systems is the direct conversion (zero-IF) method in which measured single tone current (or voltage) signal is mixed with source waveform at the same frequency, so that the magnitude and phase of the measured current (or voltage) can be determined after a low pass filtering stage. This is especially true for an EIS system which might need to operate in...
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There is an increasing trend in several biomedical applications such as ECG, PCG, EEG, neural recording, temperature sensing, and blood pressure for signals to be sensed in small portable wireless devices. In this way, analog to digital converters play the main role in these systems. This paper proposes a 10-bit 50-MSample/s pipeline analog to digital converter that has been designed and simulated...
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An artificial neural network (ANN) was implemented on an FPGA to predict cetane number in diesel fuel from its chemical compositions, extracted by liquid chromatography (LC) and gas chromatography (GC). An MLP network is used. To train the MLP, two variants of the backpropagation algorithm are utilized: backpropagation with plummeting learning rate factor and backpropagation with declining learning-rate...
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This paper presents a low noise amplifier (LNA) with an input impedance matching technique using mutual coupled stack inductors. Two different input matching methodologies using mutual inductors are evaluated in terms of their effect on the gain and NF of RF CMOS LNAs in 2.4 GHz. Design guidelines to improve the gain-NF performance of CMOS LNAs are developed by means of analytical expressions. Moreover,...
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Dynamic reconfiguration has always constituted a challenge for embedded systems designers. Nowadays, technological developments make possible to do it on Xilinx FPGAs, but setting up a dynamically reconfigurable system remains a painful and complicated task. This architecture can benefit from being able to load and unload modules at run-time and using this feature, significant reduction in hardware...
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2007 Internatonal Conference on Microelectronics > 385 - 388
A high gain, high frequency single stage CMOS opamp is designed and simulated. The authors used gain boosting technique and common mode feedback circuitry on a differential input/output 0.35 mum CMOS amplifier. Results comprehend a DC gain of 100 dB, a unity-gain frequency superior to 400 MHz associated with a phase margin in the range of 70 degrees. Good insensitivity to temperature, process and...
