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.

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2015 IEEE DIGITAL COMMUNICATION SYSTEMS USING MATLAB AND SIMULINK

• An energy efficient cluster based node scheduling protocol for Wireless sensor networks.
• Using Pulse Width Modulation for Wireless Transmission of Neural Signals in Multichannel Neural Recording Systems.
• Design and implementation of OFDM transceiver system using M-PSK encoding techniques.
• DSTiPE algorithm for fuzzy spatio-temporal risk calculation in wireless environments.
• Performance Evaluation of Vertical Handoff in Fourth Generation (4G) Networks Model.
• The impact of antenna orientation on wireless sensor network performance.
• Indoor corridor radio propagation characteristics at 60 GHz for wireless communications.
• A low SNR approach to substation communication using powerline for EMI reduction.
• Prolonging life time of wireless sensor network.
• The Wireless Channel: Propagation and Fading.
  

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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.

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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.