DSP MATLAB Thesis Topics

DSP MATLAB Thesis Topics

     DSP MATLAB Thesis Topics gives you an idea about your DSP Projects Thesis in MATLAB. We have world class expert’s team who are expertise in all major application research fields related to digital signal processing. Digital Signal Processing is one of the current research fields in which we can develop wide range of applications in real time systems. Communications systems, telecommunication, satellite communications and mobile applications are some of the sub-fields of digital signal processing. We can make use of both hardware and software for DSP Project. We have specialized MATLAB experts who have the skill sets in all major toolboxes and tools for developing quality projects with 100% percent guaranteed outputs. Our DSP MATLAB Thesis Topics service provides you hundreds of topics with complete support of our MATLAB experts.  Don’t be worried by your emptiness, there’s so much way for play well in your research……

Major Sub Fields of Digital Signal Processing:

  • Image processing
  • Control systems
  • Radar and sonar signal processing
  • Seismic data processing
  • Statistical signal processing
  • Sensor array processing
  • Communication systems based signal processing
  • Signal spectral estimation
  • Biomedical signal processing applications
  • Speech signal and audio processing

DSP MATLAB Thesis Topics

     DSP MATLAB Thesis Topics covers you all round research aspects with the help of our guidance and assistance. We approach students in a research perspective which helps to know more about your projects in the respective field. We have 150+ world class employees who are fully working in research based projects. The well beginning is means that the half of the work completion. Start to work today……you definitely get a better tomorrow. Now, let’s have a glance over the concepts of Digital Signal Processing.

Digital Signal Processing Concepts:

Digital Filters:

  • Band pass filter
  • Adaptive filters
  • Lattice filters
  • IIR and FIR Filters
  • Low pass filters
  • High pass filters
  • FDA tool and filterbuilder GUI
  • Comb and notch filters
  • Butterworth filter
  • Multi rate filters
  • Multi stage filters
  • Frequency response of FIR filters

Modulation Systems:

  • Pulse Width Modulation
  • Amplitude Shift Keying (ASK)
  • Pulse Coded Modulation
  • Frequency Shift Keying (FSK)
  • Delta Modulation
  • Binary Frequency Shift Keying (BFSK)

Discrete Signals Systems:

  • Mathematical functions (prod, sum and max)
  • Discrete complex harmonic signal
  • Functions like randn (1,N) and randm (1,N)
  • Signal generation (Rectpuls, Tripuls, Diric, Sinc, Gauspuls, Saw tooth etc.)
  • Unit sample sequence and step sequence

Waveform processing:

  • Data precision and Time vector
  • Sinc function
  • Pulstran function
  • Dirichlet function
  • Multichannel signals
  • Waveforms (periodic and aperiodic)
  • Functions (impulse, step and ramp)

Control Theory:

  • Control using Neural Networks
  • Optimal control
  • Ackerman’s formula derivation
  • Msaon’s gain formula derivation
  • Fuzzy logic for control
  • Optimal control
  • Non-linear systems control
  • DSP processors and its usage in control systems
  • Implement programmable logic with controller
  • Derive observability/controllability relationships
  • Implement controller and specific system design

Other concepts in Digital Signal Processing:

  • Digital filtering
  • Real time noise filtering
  • Automatic cue-point finder
  • Speech enhancement
  • Compressed sensing
  • Sinusoids
  • Spectrum representation
  • Aliasing and sampling
  • Complex numbers
  • Vector quantization

Project Ideas in Digital Signal Processing:

  • Filtering operation and design on the EVM
  • Signal recognition and detection
  • Channel noise simulation in Spread Spectrum CDMA
  • Note extraction and detection from musical cord using EVM
  • Touch tone detection dialing signals
  • Noise reduction filtering in motor vehicle
  • Quadratic mirror filters and sub-band coding
  • Dual tone multiple frequency decoding by the EVM
  • Adaptive filter implementation using Linear Predictive Coding
  • Sample filtering using PC Soundcard

DSP Systems and Boards:

  • DSP system based on TMS320C25
  • The DSP Card TI TMS320C31
  • The DSP Board on TMS320C2 or C26
  • High Speed Data Acquisition System
  • IBM PC/AT DSP Board TMS320C31

Major DSP Applications:

Communication and Control:

  • DSP applications evaluation
  • TI TMS320C30EVM using in communication and control
  • Implementation and development of UART Transmitter Routine for TMS320 C30
  • Digital delay programmable effects processor using TI TMS320C30 EVM
  • Design of TMS320C50 starter kit with digital filter
  • Digital PID controllers design
  • Motorola application development digital filter design and signal analysis
  • Texas TMS320C30 with audio effects processor
  • Analog Interface Controller
  • Spread spectrum signal real time detection

Image Processing Applications:

  • Depth Focusing
  • Design image processing structure to enhance the manufacturing process
  • Image compression system design, evaluation and implementation

Music and Speech Processing:

  • Bayesian classifier for vowel recognition
  • TI TMS320 C30 Speech Recognition
  • Computer speech recognition
  • Instrument music analysis of DSP system
  • Linear Predictive Coding
  • Conversion of Pitch to MIDI

Latest DSP MATLAB Thesis Topics:

  • 5G Ultra Dense Networks for Context Aware Radio Access Technology Selection using MATLAB
  • Narrow Band RFI Suppression using the Least Mean Squares Adaptive FIR Filter in Radio Detection of Cosmic Rays
  • VCO based ADCs Sampling Errors Mitigation using MATLAB
  • Bispectral video signal recovery under conditions for industrial noise removal
  • Comparison of performance analysis of adaptive and fixed beam forming technique
  • Microprocessor trip unit imitation model of a circuit breaker
  • Efficient and simple design and control of single phase PWM rectifier for UPS Applications
  • Real time hemodynamic feature and proof of concept energy efficient extraction from bioimpedence signals based on mixed signal FP analog array
  • Simulation survey of DSP based dispersion compensation
  • New composite control technique, multiple classifier and artificial neural network for fault location

      You can any of the concepts for your digital signal processing projects. MATLAB have inbuilt functions, model library, and toolboxes so we can develop any kind of concepts in digital signal processing projects. Students, who interest and willing to make your research career as a successful sensation, can contact us anytime and anywhere.