5.3.5 Simulating Sampling and Quantization in MATLAB ...

Quantization can also be simulated in MATLAB. Notice that from the above sequence of commands, all the elements of y are between -1 and 1. To quantize these values to a bit depth of b, you can do the following: b = 8; sample_max = 2^ (b-1)-1; y_quantized = floor (y*sample_max); The plot function graphs the result.

Fast Tree-Structured Nearest Neighbor Encodinp; for Vector ...

400 EEE TRANSACTIONS ON TMAGF PROCESSING, VOL 5, NO 2, FEBRUARY 1996 By applying Schwartz's inequality to (3) we get {ds[x, H(611 - ds[Y, H(6)11-2 k k and the proof is completed. 111. FAST NEAREST NEIGHBOR ENCODING A. Binary Tree-Structured Codebook Design The most commonly used procedure for designing vector code-

Vector Quantizer Design

Double-click on the Vector Quantizer Design block to start VQDTool, a GUI that allows you to design and implement a vector quantizer. You can also …

sir, plz perform non uniform quantization on matlab

sir, plz perform non uniform quantization on... Learn more about quantization, matlab function

Difference Between Uniform and Nonuniform Quantization ...

There are two types of quantization depending on the step size. They are uniform quantization and non-uniform quantization. The equation to find the step size (d) is given below. The Xmax is the maximum value of the signal and Xmin is the minimum value of the signal. The L is the number of levels that divide the signal. What is Uniform ...

quantization - SlideShare

Outline • Review the three process of A to D conversion • Quantization – Uniform – Non-uniform • Mu-law – Demo on quantization of audio signals – Sample Matlab codes • Binary encoding – Bit rate of digital signals • Advantage of digital representation ©Yao Wang, 2006 EE3414:Quantization 2

Data Converter Testing (So Far)

EECS 247 Lecture 13: Data Converters- Testing & DAC Design © 2010 Page 1 EE247 Lecture 13 •Data Converters –Data converter testing (continued)

(PDF) Design and Simulation of Pulse Code Modulation ...

Design and Simulation of Pulse Code Modulation Multiplexing (PCMM) and De-Multiplexing Technique in MATLAB ... switching and quantization …

Quantize and encode floating-point ... - MATLAB & Simulink

Description. The Uniform Encoder block performs the following two operations on each floating-point sample in the input vector or matrix: Quantizes the value using the same precision. Encodes the quantized floating-point value to an integer value. In the first step, the block quantizes an input value to one of 2 B uniformly spaced levels in the ...

Quantization Level - an overview | ScienceDirect Topics

For each subinterval, the quantization level (i.e., the value of q ( x) for that subinterval) should be chosen as the midpoint of the subinterval. This is referred to as a uniform quantizer. A 3-bit uniform quantizer is illustrated in Figure 4.7. For example, if X ∈ (0, a/8), then q ( X) = a/16. To measure the distortion for this signal ...

Quantization Table - an overview | ScienceDirect Topics

When the quantization values Q j,k are large, this results in few possible values of the output B j,k.For example, with a quantization value of 99, the rounded output values can only be −1, 0, or +1. In many cases, especially when j or k is 3 or larger, the B j,k will be rounded to zero, indicating little high frequency in the image region.. This is lossy compression.

Uniform Quantization - an overview | ScienceDirect Topics

2. Uniform quantization. A uniform quantizer is easier to be operated. The following are the conditions for uniform quantizers with an arbitrarily shaped quantitative area: a. If ‖y‖2 ≤ Mμ, then ‖q(y) − y‖2 ≤ Δμ; b. If ‖y‖2 > Mμ, then ‖q(y)‖2 > Mμ − Δμ; where M …

Answered: Uniform Quantizer Distortion The… | bartleby

The quantization regions are symmetric with respect to the mean of the distribution. 1. Specify the boundaries of the quantization regions. 2. Specify the 12 quantization regions. 3. Determine the 12 quantization values corresponding to the quantization regions and the resulting mean squared distortion.

Image representation, sampling and quantization

Non-uniform quantizationIII Max-Lloyd algorithm: 1.Choose initial quantization levels; 2.Assign points to a quantization level and reconstruct image; 3.Compute the new quantization levels as the mean of the value of all points assigned to each quantization level. 4.Go back to 2 until reduction of MSE is minimal.

EE3414 Multimedia Communication Systems – Part I

pre-design a quantization table (storing the partition and reconstruction levels) using the above procedure. ... go through the above matlab code, quantize a sample sequence into different number of levels, and compare the ... – Can perform uniform quantization on a given signal – Understand the principle of non-uniform quantization, and ...

Quantization - MATLAB & Simulink

A quantization partition defines several contiguous, nonoverlapping ranges of values within the set of real numbers. To specify a partition in the MATLAB ® environment, list the distinct endpoints of the different ranges in a vector. For example, if the partition separates the real number line into the four sets. {x: x ≤ 0}

Uniform Quantization - File Exchange - MATLAB Central

This MATLAB exercise illustrates the process of uniform quantization of a speech sample. 3.0 (4) 2.6K Downloads. Updated 03 Jun 2015. View Version History. × Version History. Download. 3 Jun 2015: 1.4.0.0 ...

(Removed) Start Scalar Quantizer Design Tool (SQDTool) to ...

(Removed) Start Scalar Quantizer Design Tool (SQDTool) to design scalar quantizer using Lloyd algorithm ... After you have specified the quantization parameters, the block performs an iterative process to design the optimal scalar quantizer. ... This data set can be a MATLAB function or a variable defined in the MATLAB workspace. The typical ...

Matlab Projects Code

Matlab code for Fingerprint Image Identification for Crime Detection. Matlab code for Prediction of the chlorophyll content in Pomegranate leaves based on digital image. Matlab code for Recognition of Osteoporosis through CT-Images using Image Processing. Matlab code for One dimensional Quarter car suspension model.

16.36: Communication Systems and Networks Lecture 5 ...

Simplified Uniform Quantizer Single design parameter ∆. The quantization scheme is as follow: - Middle region boundary at ZERO - All regions with the same size ∆. - Quantization levels are the x Q(x) 𝑥ො1 𝑥ො2 𝑎1 𝑎3 𝑥ො3 𝑥ො4 ∆ ∆/2 ∆ If samples are NOT finite valued, the first and last regions have infinite size ...

Scalar Quantizer Design - lost-contact.mit.edu

This data can be any variable defined in the MATLAB ® workspace including a variable created using a MATLAB function, such as the default value randn(10000,1). You have two choices for the Source of initial codebook parameter. Select Auto-generate to have the block choose the values of the initial codebook vector. In this case, the minimum ...

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Chapter 14 Review of Quantization - RIT

282 CHAPTER 14 REVIEW OF QUANTIZATION Nonlinear tone-transfer curve of quantizer, showing a linear region. 14.2 Quantization Quantization converts continuously valued measured irradiance at a sample to a mem-ber of a discrete set of gray levels or digital counts, e.g.,the sample f[x,y] e.g., f[0,0] = 1.234567890··· W

Laboratory Manual - TAU

Part 2 – Quantization 1. Write a matlab function: [im_q] = quant(im, N) that performs uniform quantization of the image im to N gray levels (0≤N≤255). 2. Explain what is the problem of "false contours" that occurs in image quantization? Suggest a method to reduce this artifact. Part 3 - Histogram 1. Give the definition of histogram.

Lab 1 - Digital Signal Processing. Sampling and Quantization

Exercise 2.1: Basic digital signals. (a) Write a MATLAB program to generate and display (using the stem function) the signals defined in. Table 1. The MATLAB code of the first signal (dirac) is given in the report template as an example. (b) Write a MATLAB function [x, t] = sin_NU (f0, fs, T) to generate a sine signal. The output parameters x.

16.36 Communication Systems Engineering

Optimal uniform quantizer • Given the number of regions, N – Find the optimal value of Δ – Find the optimal quantization values within each region – Optimization over N+2 variables • Simplification: Let quantization levels be the midpoint of the quantization regions (except first and last regions, when input not finite valued) • Solve for Δ to minimize distortion

MATLAB example: Generalized Lloyd Algorithm (GLA) design ...

In this example we will see through the iterations followed to obtain a 2-dimesional Vector Quantizer (VQ). We will test this algorithm for audio files. One ...

Quantization - MIT OpenCourseWare

Quantization 3.1 Introduction to quantization The previous chapter discussed coding and decoding for discrete sources. Discrete sources are a subject of interest in their own right (for text, computer files, etc.) and also serve as the inner layer for encoding analog source sequences and waveform sources (see Figure 3.1). This

Quantizing a complex signal with uniform quantizer in matlab

I have a signal that has complex normal distribution with mean 0 and variance of 1. I want to quantize it with a uniform quantizer to 512 levels. I am generating the signal in MATLAB in the following way-s = sqrt(0.5).*(randn(1,numBits) + 1i*randn(1,numBits)); I am quantizing the signal in the range(-1,1) with 512 levels in the following way:

MT-001: Taking the Mystery out of the Infamous Formula ...

with some unavoidable system noise), so the quantization noise tends to be random. In spectral analysis applications (or in performing FFTs on ADCs using spectrally pure sinewaves as inputs, however, the correlation between the quantization noise and the signal depends upon the ratio of the sampling frequency to the input signal.

Colour quantization, uniform quantization

Colour quantization, uniform quantization. Learn more about quantization, color, image, gamut Image Processing Toolbox

Analog-to-Digital Converter Design for Non-Uniform ...

for a Quantization process. While, the Adaptive Quantization requires information about the input distribution and accordingly adapts its Quantization behavior[3]. An Analog-to-Digital Converter present at the interface of such a sensor can utilize the non-uniform characteristics for enhanced performance in a similar way as companding techniques.

Quantization Noise - an overview | ScienceDirect Topics

Charles Boncelet, in The Essential Guide to Image Processing, 2009. 7.4.4 Quantization and Uniform Noise. Quantization noise results when a continuous random variable is converted to a discrete one or when a discrete random variable is converted to one with fewer levels. In images, quantization noise often occurs in the acquisition process. The image may be continuous …

Scalar Quantizer Design - MATLAB & Simulink

Type gcs in the MATLAB Command Window to display the name of your current model. Choose New model to create a block in a new model file. Block type Select Encoder to design a Scalar Quantizer Encoder block. Select Decoder to design a Scalar Quantizer Decoder block.

~yao Yao Wang Quantization - New York University

©Yao Wang, 2006 EE3414:Quantization 16 Design of Non-Uniform Quantizer • Directly design the partition and reconstruction levels • Non-linear mapping+uniform quantization ... Sample Matlab Code Go through "quant_uniform.m", "quant_mulaw.m" ...

Ch. 9 Scalar Quantization Uniform Quantizers

PDF-Optimized Uniform Quantizers The idea here is: Assuming that you know the PDF of the samples to be quantized… design the quantizer's step so that it is optimal for that PDF. For Uniform PDF-X max X f X (x) 1/(2X max) Want to uniformly quantize an RV X ~ U(-X max,X max) Assume that desire M RLs for R = ⎡log 2 (M)⎤ ÎM equally-sized ...

MATLAB Works: MATLAB code to Quantize the gray levels to ...

MATLAB code to Quantize the gray levels to 128, 64, 32,16, 8, 4 and 2 levels. ... Quantization was carried out on an input image, representing it with 256, 128, 64, 32, 16,8,4 and 2 gray levels. The results obtained are as shown in Fig.1 and Fig.2. It can be seen that there is no significant change in the quality of the image even when only ...

MATLAB Examples: Generalized Lloyd Algorithm design for ...

Generalized Lloyd Algorithm design for Vector Quantization %% Note that you should have in the same folder two audio files for training ( Schwanensee.wav ) and another for testing ( speech.wav ). %% This is the main file (main.m)