Simplistic Model Physical Structure Threshold Voltage Long Channel Current Equations Regions of Operation Transconductance Channel Length Modulation CMOS Processing Technology MOS Layout Device Capacitances Device Capacitances Passive Devices Small Signal Models Circuit Impedance Equivalent Transconductance Short-Channel Effects Drain-Induced Barrier Lowering (DIBL) Effects of Velocity Saturation Hot Carrier Effects

电子科技大学：《射频集成电路 RF Integrated Circuits》课程教学资源（课件讲稿）第三讲 单级放大器

1. Why CMOS? 2. CMOS Process Step

11.1 Chapter highlights • Parameter estimation in WGN • Amplitude estimation in the coherent case • Amplitude estimation in the noncoherent case • Phase estimation in WGN • Time-delay estimation in WGN • Frequency estimation in WGN 11.2 Parameter estimation in WGN 11.4 Amplitude estimation in the coherent case with WGN 11.5 Amplitude estimation in the noncoherent case with WGN 11.6 Phase estimation in WGN 11.7 Time-delay estimation in WGN 11.8 Frequency estimation in WGN

10.1 Chapter highlights • Parameter estimation problem formulation • Properties of estimators • Bayes estimation • Minimax estimation • Maximum-likelihood estimation • Comparison of estimators of parameters 10.2 Formulation of the general parameter estimation problem 10.3 Types of estimation problems 10.5 Properties of estimators 10.6 Bayes estimation 10.7 Minimax estimation 10.8 Maximum-likelihood estimation

电子科技大学：《信号检测与估计 Signal Detection and Estimation》课程教学资源（课件讲稿）Chapter 09 Nonparametric detection

7.1 Chapter highlights 7.2 Unknown phase 7.3 Unknown phase and amplitude 7.4 Diversity approaches & performances

6.1 Chapter highlights • Composite hypothesis testing. • Unknown phase. • Unknown amplitude. • Unknown frequency. • Unknown time of arrival. 6.2 Composite hypothesis testing 6.3 Unknown phase 6.4 Unknown amplitude 6.5 Unknown frequency 6.6 Unknown time of arrival

5.5 The optimum digital detector in additive Gaussian noise 5.6 Filtering alternatives 5.7 Continuous signals - White Gaussian noise 5.8 Continuous signals - Colored Gaussian noise 5.9 Performance of binary receivers in AWGN 5.11 Sequential detection & performance

4.1 Chapter highlights • Hypothesis testing and the MAP criterion • Extension to the general Bayes criterion • Minimax criterion • Neyman-Person criterion 4.2 Hypothesis testing & MAP criterion 4.3 Bayes criterion 4.4 Minimax criterion 4.5 Neyman-Pearson criterion