Continuous Random Variable (2)
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.
Continuous Random Variable (2)
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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)