Quantization is a process that, in effect, digitizes an analog signal. The process maps input sample values within range partitions to different common values. Quantization mapping …

Dec 16, 2015 · Quantization is done by replacing each value of an analog signal x(t) by the value of the nearest quantization level. To exemplify this operation, let’s simulate an unipolar ADC …

This MATLAB function optimizes the scalar quantization parameters partition and codebook for the training data in the vector training_set.

• Find the optimal quantization levels 𝑥ො within each region • Optimization over N+2 variables Simplification: Let quantization levels be the midpoints of the quantization regions (except first …

Feb 13, 2020 · I want to sample the continuous time signal and then quantize that sampled signal and then plot both sampled and quantized signals in MATLAB. I have written code for …

In MATLAB, you can generate samples from a sine wave of frequency f at a sampling rate r for s seconds in the following way: f = 440; sr = 44100; s = 1; t = linspace(0,s,sr * s); y = …

This project explores the concepts of quantization and sampling in image processing using MATLAB. It includes MATLAB scripts that resize an image to different dimensions (sampling) …

This repository contains the MATLAB code and the associated documents in demonstrating the various aspects related to sampling and quantization of a signal.

1) To gain a clearer understanding of sampling theory and uniform quantization. 2) To learn how to simulate these operations using MATLAB. • Use the MATLAB function pulstran to generate …

The quantization step is an iterative process to achieve acceptable accuracy of the network. See how to quantize, calibrate, and validate deep neural networks in MATLAB using a white-box …