MATLAB (Matrix Laboratory)

Digital uses mega pixels ... vs film resolution is based on the area u have to record the image

As a simple answer I can say: we do segmentation to separate homogeneous area. IN image processing it can be number of pixels with the same intensity in general.

Top-down Processing

what is coporate image?

Wahi ka matlab

See for example http://www.datasheets360.com/pdf/7308997814572458562

In general, terminals are identified by number and name, with reference to the physical appearance of the transistor package.

The answer depends upon the frequency range, amplitude and DC component of the signal (wave) being shaped. Sometimes inductors cost more and are physically larger than capacitors.

images of poo get blurry

sys = tf([n_1 ....],[d1, ...]);

abs(1-dcgain(sys))

Matlab is a scripting and mathematical language processor for working with mathematical equations.

C is a structured programming language for writing programs. Those programs can contain mathematical equations, but they won't be in quite the same format that you're used to from math class.

Matlab will solve and equation for you. C will allow you to write a program that solves the equation.

C++ is an object-oriented version of C.

matlab and simulink let us design,simulate,implement & test a variety of time varying system

Just save it in format zou want, you can do that from File - Save , Save as, Save for Web and Devices

There have been many technological advancements over the years. Amazing processing speeds, quality, controls, and print methods are among the advancements we use today.

smoothing is a noise reduction technique that derives its name from the fact that it employs a simple, fast filtering algorithm that sacrifices noise suppression power in order to preserve the high spatial frequency detail (e.g. sharp edges) in an image. It is explicitly designed to remove noise spikes --- i.e. isolated pixels of exceptionally low or high pixel intensity (e.g. salt and pepper noise) and is, therefore, less effective at removing additive noise (e.g.Gaussian noise) from an image. biometrics@hotmail.com

Real images can be obtained on the screen,whereas virtual images can't be obtained on the screen

The Capability Diagram Normally, the generator meets all the voltage and frequency requirements of the grid. This can be achieved with two closed -loop controllers # Change of excitation current of the rotor or as so called the AVR # change of fuel supply to the turbine or as so called the GOVERNER But in order to prevent damages caused by high temperature or asynchronous operation, several limitations and design criteria are installed to determine the operating zone of the generator These limitations are: # excitation current (rotor current ) limitation # Stator current limitation # load angle( not the power factor) limitation According to these limitations, the designers of the generator draw the capability curve at certain cold air temperature A circle with the radius of the maximum excitation current limitation, another circle with maximum stator current. The point where these two circles intersect is called the "Design point" of the generator.

Image Processing classify as three type.

(1) Low level image processing (noise removal, image sharpening, contrast enhancement)

(2) Mid level image processing (segmentation)

(3) High level image processing (analysis based on output of segmentation)

after you plot, type axis([xmin xmax ymin ymax]) and that should do it.