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Nyquist frequency
Discrete - Time Signals and Systems
Evaluating Oscilloscope Sample Rates Vs. Sampling Fidelity: How to Make the Most Accurate Digital Measurements
Enhancing ADC Resolution by Oversampling
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Aliasing, Image Sampling and Reconstruction
Design of High-Speed, Low-Power, Nyquist Analog-To-Digital Converters
Chapter 5 the APPLICATION of the Z TRANSFORM 5.5.4 Aliasing
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The Fundamentals of FFT-Based Signal Analysis and Measurement Michael Cerna and Audrey F
High Accuracy Evaluation of the Finite Fourier Transform Using Sampled Data
2.161 Signal Processing: Continuous and Discrete Fall 2008
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Upsampling and Downsampling
Chapter 7 Introduction Analog Signal and Discrete Time Series
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Signal Sampling at a Time Interval of Δt
Sampling Theory and Analog-To-Digital Conversion
Potential Use of the Undersampling Technique in the Acquisition of Nuclear Magnetic Resonance Signals
Chapter 8 – Sampling, Aliasing & Data Conversion
Time Scale Re-Sampling to Improve Transient Event Averaging Jason R
The Sampling Theorem and the Bandpass Theorem
The Shannon Sampling Theorem and Its Implications
Sampling Theory
The Scientist and Engineer's Guide to Digital Signal Processing ADC And
Stochastic Processes of Limited Frequency and the Effects of Oversampling
Sampling Frequency Selection Scheme for a Multiple Signal Receiver Using Undersampling
From Continuous-Time Domain to Microcontroller Code
AN-236 an Introduction to the Sampling Theorem
MT-002: What the Nyquist Criterion Means to Your Sampled Data
Sampling, Nyquist, Discrete Transforms, and All That
Signal Processing of DC/DC Converter Inductor Current Measurement