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This paper presents a four-quadrant analog multiplier. The architecture of the multiplier is designed with floating-gate CMOS transistors formed by squaring and current mirrors circuits. The results shown are accurate and appropriate. It is based on the square-law dependence of the MOS-transistor drain current on the gate-to-source voltage. To demonstrate the relevance of the design, aspect rations...
In the present work, we show a way to separate noise signals recorded with microphones industrial, in order that they can be analyzed separately. Blind Source Separation is accomplished using Independent Component Analysis (ICA) technique in the wavelet domain. Also, it is necessary to identify the separate sources, taking into account that each signal separate has some components of the signals belonging...
In this work we proposed a new method that allows the blind source separation by the analysis of independent components known as FASTICA in the domain of Wavelet to observe his behavior on signs captured in a real environment. The problem that tries to be solved in Blind Source Separation (BSS) consists of recovering signs statistically independent. Nevertheless, certain difficulties appear when this...
This paper presents a technique to solve mismatch compensation problems in current mirrors using the floating gate MOS transistor. To reduce mismatches, the tunneling and injection processes are applied in a 1.2 μm CMOS process. It takes into account the long-term voltage storage as charge on the floating gate of a transistor pMOS. Experimental results justifying these processes are also including...
This work presents an optimized Implementation on Field Programmable Gate Array (FPGA) Architecture for an Infomax algorithm based on Independent Component Analysis (ICA). We use this algorithm to solving Blind Source Separation (BSS) problems in real-time mixed signal processing in order to clean speech signals under noisy environments and to probe the potential of this kind of algorithms embedded...
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