The phrase "and quantization in the" is grammatically correct and can be used in written English.
It can be used in contexts discussing topics related to physics, signal processing, or data analysis where quantization is a relevant concept.
Example: "The study focuses on the effects of noise and quantization in the digital signal processing framework."
Alternatives: "and quantization within the" or "and quantization of the".
The existence of both features, of continuity and quantization in a single process, appears in the study of the conditional survival probabilities of a firm (the computation of the conditional survival probability of the firm from an investor's point of view, i.e., given the "investor information").
Topics include: discrete-time random signals; sampling and multi-rate systems; oversampling and quantization in A-to-D conversion; properties of LTI systems; quantization in fixed-point implementations of filters; digital filter design; discrete Fourier Transform and FFT; spectrum analysis using the DFT; and LMS adaptive filtering.
The results in the paper allow us to understand the tradeoff between performance degradation due to quantization and quantization density (in the infinite-level quantization case) or number of quantization levels (in the finite-level quantization case).
Grauer, S. et al. Coincidence of superparamagnetism and perfect quantization in the quantum anomalous Hall state.
The application of auditory masking functions and the quantization in the compression scheme results in speech distortion.
The purpose of the following SINR model is to define the effect of the sub-sampling, multipath, inter-symbol interference and quantization noise, in the reception error of a general MIMO system (not necessarily STBC).
A new model is proposed as the filtering error system to simultaneously capture the communication constraint, random packet dropout and quantization effects in the networked systems.
It exhibits nonlinear behavior because of motor friction, saturation, and quantization noise in the measurement sensors.
We will look at scalar quantization and continue with vector quantization in the next chapter.
The output feedback tracking control problem is investigated for lower-triangular fractional-order nonlinear systems with time-delay and input quantization, in which the system order satisfies α ∈ (0, 1).
