MATLAB Digital Communications Assignment Help

At AnswersPortals, we have dedicated, well experienced, and highly qualified experts to provide help in MATLAB Digital Communication assignments, homework’s or MATLAB Digital Communication projects. We create the most comfortable environment for our students, who can enhance their creative and academic skills. Our expert takes utmost care of all the assignment whether it is small or big, they give their 100 %. Our main aim is to make students not only fetch higher grades but also make them understand the concept. There are many topics under MATLAB Digital Communication which are studied in School and Colleges like:

  • 2-D FFT and its application to an image
  • Aliasing and the effect of quantisation
  • Analogue and digital filters
  • Argand diagram (z-plane) of poles and zeros
  • Digital Modulation Techniques
  • Derivation of DFT from DTFT
  • Design of FIR digital filters by the Fourier series approximation method
  • Design of IIR digital filters using MATLAB
  • Digital communication over bandlimited channels
  • Digital processing of multimedia signals
  • Digital transmission over fading channels
  • Digitising music (CDs, MPEG & MP3)
  • Digitising speech with bit-rate compression (A-law, ADPCM, CELP)
  • Effect of increasing order and use of non-rectangular windows
  • Effects of windowing and frequency
  • Fast Fourier transform algorithm
  • FIR type digital filters
  • Frequency response as discrete time Fourier transform (DTFT) of impulse-response
  • Frequency-responses of analogue and digital filters
  • H(z) as z-transform of impulse response
  • IIR type digital filters and the z-transform
  • Implementation on personal computers and in real time on dsp chips
  • Impulse-response for discrete time systems
  • Information and coding theory
  • Intersymbol interference
  • Linear phase and group delay
  • Multicarrier communications
  • Non-rectangular windows
  • Optimum receiver design
  • Overall design of digital systems
  • Processing speech, music & video
  • Recursive and non-recursive difference equations
  • Representing signals and systems
  • Resononator by pole/zero placement
  • Review of probability and stochastic processes
  • Sampled signals and digital processing
  • Sampling and quantisation
  • Signal flow-graphs and implementation
  • software implementation of FIR and IIR type digital filters
  • Temporal and spatial signal processing
  • The discrete Fourier transform (DFT) & its applications
  • Transmitter and receiver design
  • Use of MATLAB for analysing digital filters
  • Use of the FFT for spectral estimation and media processing
  • Vector Space Representation

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