tut 2 complete sol - 1- There are several classes of...

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1- There are several classes of signals.These could include; continuous-time and discrete-time signals, analog and digital signals, periodic and aperiodic signals and energy and power signals. Provide a short description for each class and demonstrate (sketch) signals for analog-continuous time, digital-continuous time, analog discrete time and digital discrete time. (1) Continuous-time: The descriptive equations are defined for all values of time. Discrete-time: The descriptive equations are not defined for all values of time. (2)Analog: A function of time that has a continuous range of values . Digital signals: A function of time that has a discrete of values . (3) Periodic: A signal is periodic if we can write x ( t + T0 ) = x (t) Aperiodic :we cannot (4) Energy and power signal are described by energy or power, for example step is power signal, and unit is energy signal. analog-continuous time:speach BAT digital-continuous time: analog discrete time:
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digital discrete time: 2- What is the main advantage of a periodic signal? It is easy to obtained, modified, transformed, because every period is the same, one period is changed, and every one will change with it. A periodic waveform can be easy digitizing. Periodic signal is easy for analysis, because we only need analyze one period. And also certain number of periodic signal can represent any given signal. Q3-One of the reasons that cosine waves are so important is that many physical systems generate signals that can be represented mathematically as sine or cosine functions of time. Among the most prominent of these are signals that are audible to humans. Provide two examples for physical systems that generate audible sound to humans.
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Pianos can be generated audible sound to humans. Cars can be generated audible sound to humans. The noises generated by a plane and the sound when a stone is thrown in the lake . 4- The process of converting an analogue signal to digital signal two terms are frequently used; resolution and quantizing. Very briefly explain these terms. Resolution The resolution of the converter indicates the number of discrete values it can produce over the range of analog values. The values are usually stored electronically in binary form, so the resolution is usually expressed in bits. In consequence, the number of discrete values available, or "levels", is usually a power of two. For example, an ADC with a resolution of 8 bits can encode an analog input to one in 256 different levels, since 28 = 256. The values can represent the ranges from 0 to 255 (i.e. unsigned integer) or from -128 to 127 (i.e. signed integer), depending on the application. Resolution can also be defined electrically, and expressed in volts. The voltage resolution of an ADC is equal to its overall voltage measurement range divided by the number of discrete intervals as in the formula: Where: Q is resolution in volts per step (volts per output code), E FSR is the full scale voltage range = V RefHi V RefLow , M is the ADC's resolution in bits. N is the number of intervals, given by the number of available levels (output codes),
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This note was uploaded on 04/15/2010 for the course ECTE 906 taught by Professor Pd during the Three '10 term at University of Wollongong, Australia.

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tut 2 complete sol - 1- There are several classes of...

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