For node of V, V V. (1e jex R For node V2 + jaC(V, -V,)+ j@C(V, –V.)=0 26 + jet jaCV, + jeCV, (17 For node of V. V. -v.)+ joc(V, -V,)-0 (18 Simplifying the above equations and using the substitution X = cRC (19 We get V, = (20 41+ jx }(V, +V_) jX V, (21 2(1+ jX )(V, +V.) (22 V.-E xV + jXv,) Substituting equations (20) & (21) into Eq (22) and solving for VV| we get the transfer function V X-1 (23 V X-4 jX -1 It is clear that the value of |VVị becomes zero at X=1 which gives RC =1 from which the center frequency fe is f. = 2RC (24 The magnitude frequency response is v. V (x -1} +16X² x-1 (25 From which we can find the cutoff frequencies 27 5-2 fi = V5+2 2RC f = (2e 2RC
Quantization and Resolution
Quantization is a methodology of carrying out signal modulation by the process of mapping input values from an infinitely long set of continuous values to a smaller set of finite values. Quantization forms the basic algorithm for lossy compression algorithms and represents a given analog signal into digital signals. In other words, these algorithms form the base of an analog-to-digital converter. Devices that process the algorithm of quantization are known as a quantizer. These devices aid in rounding off (approximation) the errors of an input function called the quantized value.
Probability of Error
This topic is widely taught in many undergraduate and postgraduate degree courses of:
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