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Explain the Limiting the Spectrum
This low-pass filter is known an anti-aliasing filter. These filters are originated at the input to most applications. Since they are required before the signal is sampled, they are approximately always analog filters. It is theoretically possible to make use of the DSP device to remove the aliasing, but this would need a high sample rate. Actually, this is rarely done as it would consume too much of the processing power of the DSP, which we need to carry out other tasks. The ideal anti-aliasing filter characteristics are displayed in the lower half of the above diagram. It is flat along with gain A over the pass band and zero at any other point.
An ideal filter would as well have a linear phase response. Variations from this ideal may have an important effect on performance. For instance, in control applications, a badly planed filter may mean that the system spends all of its time trying to compensate for the filter, rather than trying to keep a constant motor speed. In audio applications, a poor phase response can lead to harmonic distortion and degradation that is frequently audible. For audio applications, commercially available switched-capacitor filters are easy to use and offer a reasonably linear response.
implement 16x1 using 2x1 mux
Measures for Improving Joints and Connection 1. Spacing of poles: The spacing between poles (for overhead lines) is also an important requirement. Long spans will result in
Why do we use XRA A instruction The XRA A instruction is used to clear the contents of the Accumulator and keep the value 00H.
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Explain the term full duplex transmission. Data can travel in both directions concurrently. There is no require to switch from transmit to receive mode as in half duplex. It's
Q Point charges, each of √4πε0 C, are located at the vertices of an equilateral triangle of side a. Determine the electric force on each charge.
Q. A dc source is connected to a series RLC circuit by a switch that closes at t = 0, as shown in Figure, with initial conditions. For the values of R = 20, 40, and 80 , solve for
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