Skip to main content

Pull-Up and Pull-Down Ratio in nMOS Inverter


Pull-Up and Pull-Down Ratio in nMOS Inverter

nMOS Inverter Overview

In an nMOS inverter, the nMOS transistor acts as the pull-down device, while a load device (resistor or depletion nMOS) acts as the pull-up network.

Pull-Down Network

  • The nMOS transistor is the pull-down device
  • It pulls the output to 0 (GND) when ON

Pull-Up Network

  • The load device pulls the output to VDD when input is LOW
  • It provides a weak logic HIGH

Pull-Up Ratio (PU Ratio)

Defined as:

Pull-up ratio = ÎēL / ÎēN

Where:

  • ÎēL = transconductance parameter of load device
  • ÎēN = transconductance parameter of nMOS pull-down transistor

Meaning: Measures strength of pull-up compared to pull-down.

Pull-Down Ratio (PDR)

Defined as:

Pull-down ratio = ÎēN / ÎēL

Meaning: Measures strength of pull-down compared to pull-up.

Design Condition

For proper operation of nMOS inverter:

  • Pull-down must be stronger than pull-up
  • ÎēN > ÎēL is typically required

Simple Intuition

Device Role Strength
nMOS transistor Pull-down Strong
Load device Pull-up Weak

Summary

  • Pull-up ratio = pull-up strength / pull-down strength
  • Pull-down ratio = pull-down strength / pull-up strength
  • nMOS inverter works best when pull-down dominates

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

Simulation of ASK, FSK, and PSK using MATLAB Simulink (with Online Simulator)

📘 Overview ðŸ§Ū How to use MATLAB Simulink ðŸ§Ū Simulation of ASK using MATLAB Simulink ðŸ§Ū Simulation of FSK using MATLAB Simulink ðŸ§Ū Simulation of PSK using MATLAB Simulink ðŸ§Ū Simulator for ASK, FSK, and PSK ðŸ§Ū Digital Signal Processing Simulator 📚 Further Reading ASK, FSK & PSK HomePage MATLAB Simulation Simulation of Amplitude Shift Keying (ASK) using MATLAB Simulink In Simulink, we pick different components/elements from MATLAB Simulink Library. Then we connect the components and perform a particular operation. Result A sine wave source, a pulse generator, a product block, a mux, and a scope are shown in the diagram above. The pulse generator generates the '1' and '0' bit sequences. Sine wave sources produce a specific amplitude and frequency. The scope displays the modulated signal as well as the original bit sequence created by the pulse generator. Mux i...

MATLAB Codes for Various types of beamforming | Beam Steering, Digital...

📘 How Beamforming Improves SNR ðŸ§Ū MATLAB Code 📚 Further Reading 📂 Other Topics on Beamforming in MATLAB ... MIMO / Massive MIMO Beamforming Techniques Beamforming Techniques MATLAB Codes for Beamforming... How Beamforming Improves SNR The mathematical [↗] and theoretical aspects of beamforming [↗] have already been covered. We'll talk about coding in MATLAB in this tutorial so that you may generate results for different beamforming approaches. Let's go right to the content of the article. In analog beamforming, certain codebooks are employed on the TX and RX sides to select the best beam pairs. Because of their beamforming gains, communication created through the strongest beams from both the TX and RX side enhances spectrum efficiency. Additionally, beamforming gain directly impacts SNR improvement. Wireless communication system capacity = bandwidth*log2(1+SNR)...

Theoretical BER vs SNR for binary ASK, FSK, and PSK with MATLAB Code + Simulator

📘 Overview & Theory ðŸ§Ū MATLAB Codes 📚 Further Reading Theoretical BER vs SNR for Amplitude Shift Keying (ASK) The theoretical Bit Error Rate (BER) for binary ASK depends on how binary bits are mapped to signal amplitudes. For typical cases: If bits are mapped to 1 and -1, the BER is: BER = Q(√(2 × SNR)) If bits are mapped to 0 and 1, the BER becomes: BER = Q(√(SNR / 2)) Where: Q(x) is the Q-function: Q(x) = 0.5 × erfc(x / √2) SNR : Signal-to-Noise Ratio N₀ : Noise Power Spectral Density Understanding the Q-Function and BER for ASK Bit '0' transmits noise only Bit '1' transmits signal (1 + noise) Receiver decision threshold is 0.5 BER is given by: P b = Q(0.5 / σ) , where σ = √(N₀ / 2) Using SNR = (0.5)² / N₀, we get: BER = Q(√(SNR / 2)) Theoretical BER vs ...

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   •   Interactive ASK, FSK, and BPSK tools updated for 2025. Start Now Interactive Modulation Simulators Visualize binary modulation techniques (ASK, FSK, BPSK) in real-time with adjustable carrier and sampling parameters. ðŸ“Ą ASK Simulator ðŸ“ķ FSK Simulator 🎚️ BPSK Simulator 📚 More Topics ASK Modulator FSK Modulator BPSK Modulator More Topics Simulator for Binary ASK Modulation Digital Message Bits Carrier Freq (Hz) Sampling Rate (...

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...(MATLAB Code + Simulator)

Bit Error Rate (BER) & SNR Guide Analyze communication system performance with our interactive simulators and MATLAB tools. 📘 Theory ðŸ§Ū Simulators ðŸ’ŧ MATLAB Code 📚 Resources BER Definition SNR Formula BER Calculator MATLAB Comparison 📂 Explore M-ary QAM, PSK, and QPSK Topics ▼ ðŸ§Ū Constellation Simulator: M-ary QAM ðŸ§Ū Constellation Simulator: M-ary PSK ðŸ§Ū BER calculation for ASK, FSK, and PSK ðŸ§Ū Approaches to BER vs SNR What is Bit Error Rate (BER)? The BER indicates how many corrupted bits are received compared to the total number of bits sent. It is the primary figure of merit for a...

Constellation Diagrams of ASK, PSK, and FSK (with MATLAB Code + Simulator)

Constellation Diagrams: ASK, FSK, and PSK Comprehensive guide to signal space representation, including interactive simulators and MATLAB implementations. 📘 Overview ðŸ§Ū Simulator ⚖️ Theory 📚 Resources Definitions Constellation Tool Key Points MATLAB Code 📂 Other Topics: M-ary PSK & QAM Diagrams ▼ ðŸ§Ū Simulator for M-ary PSK Constellation ðŸ§Ū Simulator for M-ary QAM Constellation BASK (Binary ASK) Modulation Transmits one of two signals: 0 or -√Eb, where Eb​ is the energy per bit. These signals represent binary 0 and 1. BFSK (Binary FSK) Modulation Transmits on...

Power Spectral Density Calculation Using FFT in MATLAB

📘 Overview ðŸ§Ū Steps to calculate the PSD of a signal ðŸ§Ū MATLAB Codes 📚 Further Reading Power spectral density (PSD) tells us how the power of a signal is distributed across different frequency components, whereas Fourier Magnitude gives you the amplitude (or strength) of each frequency component in the signal. Steps to calculate the PSD of a signal Firstly, calculate the fast Fourier transform (FFT) of a signal. Then, calculate the Fourier magnitude (absolute value) of the signal. Square the Fourier magnitude to get the power spectrum. To calculate the Power Spectral Density (PSD), divide the squared magnitude by the product of the sampling frequency (fs) and the total number of samples (N). Formula: PSD = |FFT|^2 / (fs * N) Sampling frequency (fs): The rate at which the continuous-time signal is sampled (in ...

MATLAB Code for ASK, FSK, and PSK (with Online Simulator)

MATLAB Code for ASK, FSK, and PSK Comprehensive implementation of digital modulation and demodulation techniques with simulation results. 📘 Theory ðŸ“Ą ASK Code ðŸ“ķ FSK Code 🎚️ PSK Code ðŸ•đ️ Simulator 📚 Further Reading Amplitude Shift Frequency Shift Phase Shift Live Simulator ASK, FSK & PSK HomePage MATLAB Code MATLAB Code for ASK Modulation and Demodulation COPY % The code is written by SalimWireless.Com clc; clear all; close all; % Parameters Tb = 1; fc = 10; N_bits = 10; Fs = 100 * fc; Ts = 1/Fs; samples_per_bit = Fs * Tb; rng(10); binar...