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Continuous Random Variable (2). Families of Continuous Random Variables. Uniform R.V. Exponential R.V. Gaussian R.V. Uniform Random Variable. Definition and Theorem. Application of Uniform Random Variable. Source: Discrete-Time Signal Processing by O ppenheim. 3-bit quantizer.
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Families of Continuous Random Variables • Uniform R.V. • Exponential R.V. • Gaussian R.V.
Application of Uniform Random Variable Source: Discrete-Time Signal Processing by Oppenheim 3-bit quantizer 8-bit quantizer
Quantizer Source: Discrete-Time Signal Processing by Oppenheim
Modeling the Quantization Error as a Uniform Random Variable Source: Discrete-Time Signal Processing by Oppenheim
Variance of Quantization Noise Source: Discrete-Time Signal Processing by Oppenheim
Examples of Gaussian R.V. μX=represents the location of the center of the bell σX=represents the width of the bell
Properties of Gaussian R.V. Proof:
Z=3, 3x of σ 3σ is approximately 1/1000
Sensitivity of an Inverting Amplifier Due to Resistor Mismatch
Gain of an Inverting Amplifier Probability Gain in dB
Project Optional Reference (Sedra Smith) • Instrumentation Amplifier (Section 2.4.2) • Mismatch due to gm (Section 8.2.5)