DIGITAL COMMUNICATION SYSTEMS USING MATLAB AND SIMULINK


DIGITAL COMMUNICATION SYSTEMS USING MATLAB AND SIMULINK

            Digital communication systems using Matlab and Simulink covers wide area of communications techniques, when includes digital radio, and digital transmission. Digital transmission and signal processing refers to the study of processing of digital data and transmission.

Digital communication system using Matlab and Simulink has the following advantages,

Voice and data Integration.

Easy multiplexing.

Easy signaling.

Reliable communication.


2015 IEEE DIGITAL COMMUNICATION SYSTEMS USING MATLAB AND SIMULINK

 Digital communication System using Matlab and Simulink is divided into analog and digital signal transmission and is represented by analog and digital. Digital communications systems using matlab and simulink which has the above two type of signal projects are supported by our concern for all PhD Scholars.

Some theories in digital communications systems are listed below:

  • Stochastic processes, Stationary, auto correction function, special density.
  • Random variables, probability space, independence, density functions.
  • Bayes rule, conditional expectation, expectation
  • Security for unforgability and privacy
  • Symbol types of bios,packets and waveform.
  • Capacity of data rate,bandwidth and packet rate.

The communication channel have non ideal frequency response ,only finite bandwidth, phase distortion and the signal often suffers amplitude as it is transmitted through channel.

Digital communication systems using matlab and simulink with the help of above functions can be done and provided by our firm. With the help of various transfers, techniques using matlab simulation of OFDM was done with different modulation techniques. BPSK and QPSK digital modulation techniques were selected to calculate the performance of designed OFDM system by calculating their bit error rate for various values of SNR.


Vector and matrices can be represented as graphs with the help of matlab as well as we can print and annotate those graphs. Matlab has more number of functions for two-dimensional and three dimensional data visualization, presentation graphics, image processing and animation. Digital communication systems using matlab and simulink projects are supported by our firm and the paper title is updated regularly from IEEE journals.

The energy produced at a single frequency is spread over a wide band of frequency in spread spectrum techniques. Noise is a random signal which determines the theoretical capacity of the channel and also noise plays a vital role in communication systems.

With the help of matlab functions we can compare various signals they are

  • Data Rate Power Efficiency
  • BER(Bit Error Rate) Performance
  • Structural Simplicity and cost
  • Bandwidth efficiency
  • PAR(Peak to average power ratio) interface and out of band radiation

Orthogonal Frequency Division adds a simple channel coding scheme in wireless multicarrier transmission system for error correction and interleaving among carriers for high frequency diversity.

With the help of matlab functions, distribution functions are recognized in digital communication. Poisson distribution and Gaussian distribution are the two types of distributions. Gaussian distribution consist the standard deviation has a standard deviation. Channel coding encodes redundancy to information symbols in a ordered manner and the redundancy can be accepted at the receiver to correct transmission error.