echecs16.info Theory ANALOG COMMUNICATIONS PDF

# ANALOG COMMUNICATIONS PDF

Analog Communication Tutorial in PDF - Learn Analog Communication in simple and easy steps starting from basic to advanced concepts with examples. Analog Communication 10EC53 SYLLABUS ANALOG COMMUNICATION Subject Code: 10EC53 IA Marks: 25 No. of Lecture Hrs/Week: 04 Exam Hours: 03 . 3. Modern Digital and Analog Communication Systems, by B.P. Lathi, Oxford The probability density function (pdf) of a random variable x is. Px(x) = Fx(X).

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In addition to demodulation a receiver must. 1. Select the desired signal. 2. Reject the other signals. 3. Amplify the signal. Some of the amplification should occur. REFERENCES: 1. Electronics & Communication System – George Kennedy and Bernard Davis, TMH. 2. Analog echecs16.info Bhat & Ganesh Rao. The block diagram on the top shows the blocks common to all communication systems. ❖Communication systems. Digital. Analog.

This preview shows page 1 - 5 out of 93 pages. This tutorial provides knowledge on the various modulation techniques that are useful in Analog Communication systems. By the completion of this tutorial, the reader will be able to understand the conceptual details involved in analog communication. Audience This tutorial is prepared for beginners who are interested in the basics of analog communication and who aspire to acquire knowledge regarding analog communication systems. Prerequisites A basic idea regarding the initial concepts of communication is enough to go through this tutorial. It will definitely help if you use our tutorial Signals and Systems as a reference. A basic knowledge of the terms involved in Electronics and Communications would be an added advantage.

Hence, a signal can be a source of energy which transmits some information.

## Analog Communications

This signal helps to establish a communication between the sender and the receiver. An electrical impulse or an electromagnetic wave which travels a distance to convey a message, can be termed as a signal in communication systems.

Depending on their characteristics, signals are mainly classified into two types: Analog and Digital. Analog and Digital signals are further classified, as shown in the following figure.

This signal keeps on varying with respect to time, according to the instantaneous values of the quantity, which represents it. The portion of filling the tank is varied by the varying time. If we try to plot the varying portions of water in the tank according to the varying time, it would look like the following figure.

The signal which represents this condition with an inclined line in the figure, is an Analog Signal. The communication based on analog signals and analog values is called as Analog Communication. Digital Signal A signal which is discrete in nature or which is non-continuous in form can be termed as a Digital signal. This signal has individual values, denoted separately, which are not based on the previous values, as if they are derived at that particular instant of time. Example Let us consider a classroom having 20 students.

If their attendance in a week is plotted, it would look like the following figure.

In this figure, the values are stated separately. For instance, the attendance of the class on Wednesday is 20 whereas on Saturday is These values can be considered individually and separately or discretely, hence they are called as discrete values.

The binary digits which has only 1s and 0s are mostly termed as digital values. Hence, the signals which represent 1s and 0s are also called as digital signals. The communication based on digital signals and digital values is called as Digital Communication. Periodic Signal Any analog or digital signal, that repeats its pattern over a period of time, is called as a Periodic Signal.

This signal has its pattern continued repeatedly and is easy to be assumed or to be calculated. FM are of 2 types: a.

Narrowband FM b. Wideband FM 6. What is under sampling? Ans: Under sampling is also known as aliasing effect in which the the sampling frequency is less than the maximum frequency of the signal and therefore the successive cycles of the spectrum overlap. Ans: The advantages are: a. High selectivity and sensitivity. No change in Bandwidth that is bandwidth remains same all over the operating range.