The electronic devices are exposed to external electromagnetic signals that produce an unwanted signal called noise in the circuit, which causes electromagnetic interference [EMI] problems. It occurs in two modes: radiated mode and conducted mode. In the radiation mode, the shielding technique is used for radiation mode, in conduction mode filtering technique is used. The design of an EMI filter depends upon the type of noise generated by the Switched Mode Power supply circuit [SMPS]. The SMPS circuit used in this paper is a DC-DC power converter, the Boost converter is a step-up converter and Buck converter is step down converter are considered as equipment for generation of noise, the Line Impedance Stabilization Network [LISN]is used for generating the common output impedance to the power converters, the EMI filters are designed to eliminate noise generated by the circuits. There noise generated by this power converters is Common Mode [CM] noise and Differential Mode [DM] noise. The separation of noise from the equipment is done by using a noise separator. In this paper, CM noise generated by these power converters is eliminated by designing an EMI filter called an inductor filter and a PI filter. The comparison between the LC inductor filter and the PI filter for the boost and buck converters is observed. The PI filter has better performance characteristics when compared to the inductor filter for both SMPS circuits as per the Comité International Special des Perturbations Radioélectriques [CISPR] standards. This standard gives the conducted emission range for different electronic devices.
Digital Signal Processing (DSP) grew enormously in the past few decades and it was extensively practiced for numerous engineering applications like biomedical signal processing, radar signal processing, adaptive antenna design, intelligent control, etc. In DSP, the Finite Impulse Response (FIR) filter and Infinite Impulse Response (IIR) filter plays a vital role in the design of a complex signal processing system. Generally, The FIR filters are stable, linear in phase, with fewer finite-precision errors and easy to implement. However, most of the IIR filters are used in signal processing applications due to the less computational complexity which is compared to the FIR filters. Moreover, the IIR filter requires only fewer filter coefficients and requires only less amount storage registers. In this research, an IIR filter is implemented with Array multiplier and Carry Skip Adder (CSA) to improve hardware utilization. The IIR filter input is generated randomly which is stored in Random Access Memory (RAM). Similarly, the coefficient is generated by utilizing the Parks-McClellan algorithm where the generated value is stored in Read Only Memory (ROM). The proposed AM-CSA IIR (Array Multiplier-Carry Skip Adder Infinite Impulse Response) filter performances are evaluated in terms of filter output, Input Output Block (IOB), Look Up Table (LUT), Flip Flops (FF), slices, delay, and fractional delay. Overall the proposed design attained LUT= 115 (0.0564%), FF=40 (0.01%) and IOB= 22 (3.77%) and reduced fractional delay of about 0.0057ns.
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