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Define Quantization Error?
Quantization by its nature introduces errors. There are two major sources of errors. One is sampling, that just takes the amplitude of the signal at a point in time and holds it until the next sample. Another source of errors comes from the quantizer that pulls up or pushes down the amplitude of the signal to its digital representation.
The quantization graph above displays the type of error levels involved in our case. This error generates an effect which is known as quantization noise. In audio or speech applications, this error takes place as noise on the output. If we take a common DSP application with a 10- to 12-bit ADC, the quantization noise is generally negligible compared to other noise sources.
Conductors with a temperature rating of 75 degrees C are run in an area with an ambient temperature of 55 degrees C. What would be the de-rating factor that should be applied?
Explain in detail the various energy resources and their availability. Explain the following: (a) Types of power plants (b) Selection of power Plants
how does creating a supernode helps solve the problems?
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In most real signal processing applications the measured signals can not be described by an analytical expression. In addition, by the Wold decomposition theorem a stationary signa
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explain why entropy of a gas increases with volume and tempearture
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