MATLAB (Matrix Laboratory)

matlab code for convolutional coding and BCH coding

d = det(X) returns the determinant of the square matrix X. If X contains only integer entries, the result d is also an integer.

The determinant is computed from the triangular factors obtained by Gaussian elimination [L,U] = lu(A)

s = det(L) % This is always +1 or -1

det(A) = s*prod(diag(U))

The statement A = [1 2 3; 4 5 6; 7 8 9]

produces A =

1 2 3

4 5 6

7 8 9

This happens to be a singular matrix, so d = det(A) produces d = 0. Changing A(3,3) with A(3,3) = 0 turns A into a nonsingular matrix. Now d = det(A) produces d = 27.

For more info visit

http://www.mathworks.com/access/helpdesk/help/techdoc/ref/det.html

significance of abc-dq conversion

Autonomous = done automatically by a software (used in robotics)

Image segmentation = dividing the image into parts that can be used later to recognize relevant image features (like objects)

The definition of autonomous segmentation is summing up both terms and refers to a automatic, without human intervention, segmentation of the image. It means that the segmentation algorithms auto-calibrate themselves. This may seem a simple task for a controlled indoor environment, but can also become a huge complexity in outdoor scenes where the lightning conditions are ranging from complete darkness to direct sunlight on the sensor.

Not sure what you mean by "clutter". You can simplify your windows down to just the command window by toggling all of them off under the "windows" toolbar.

The way I am doing it now, but this time you cannot tell anyone what this means.

You could get a free license version of MATLAB such as Octave or FreeMat. You can find it very easily by a WWW search. Personally I do use MATLAB from the Mathworks, although you would have to purchase it from the Mathworks. Octave and FreeMat are essentially the same as MATLAB, except a few differences in syntax. If you are a student, you could purchase it at a low cost from the Mathworks. It is slick and simple to get into, and I think worth the cost.

no it can't have 20 points

In MATLAB, discrete-time sinusoidal signals can be generated using the sin function along with a time vector. For example, you can create a time vector t using 0:Ts:duration, where Ts is the sampling period and duration is the total time. The sinusoidal signal can be defined as x = A * sin(2 * pi * f * t + phi), where A is the amplitude, f is the frequency, and phi is the phase shift. You can then plot the signal using the plot function to visualize the discrete-time sinusoidal waveform.

To plot the radiation pattern for linear arrays in MATLAB, you can use the following code snippet:

% Parameters
N = 8; % Number of elements
d = 0.5; % Element spacing (in wavelengths)
theta = linspace(0, 2*pi, 360); % Angle range

% Array factor calculation
AF = abs(sin(N*pi*d*sin(theta))./(sin(pi*d*sin(theta))));

% Plot
polarplot(theta, AF);
title('Radiation Pattern of Linear Array');

This code calculates the array factor for a linear array and plots the radiation pattern in polar coordinates. Adjust N and d as needed for different array configurations.

Image Enhancement is trying to improvise the quality of image over received or initial image.It is a subjective process. Meaning it varies from person to person to what extent the quality has to be fined to.

Techniques involved are-

1. POINT PROCESSING.

A IMAGE NEGATION

B LOG COMPRESSION

C CONTRAST STRETCHING

D GREY LEVEL SLICING(WITH OR W/O BACKGROUND CONSERVATION)

E BIT PLANE SLICING

2. NEIGHBORHOOD PROCESSING

A HISTOGRAM EQUALIZATION

B HISTOGRAM SPECIFICATION

In MATLAB, housekeeping refers to the practices and techniques used to manage and organize the workspace and environment efficiently. This includes tasks such as clearing variables from memory, closing open figures, and resetting the command window to ensure a clean working state. Proper housekeeping helps prevent errors and improves the efficiency of code execution by managing resources effectively. It also aids in maintaining clarity and organization within scripts and functions.