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Digital Signal Processing (DSP) is a rapidly growing field that will play a powerful role in shaping science and technology in the twenty-first century. Revolutionary changes have already been made in a broad range of fields such as communications, medical imaging, field of radar & sonar, high fidelity music reproduction, oil prospecting etc. Each of these areas has contributed to the depth of DSP technology, with its own algorithms, mathematics, and specialized techniques.

Digital Signal Processing is distinguished from other areas in computer science by the unique type of data it uses- signals. In most cases, these signals originate as sensory data from the real world-seismic vibrations, visual images, sound waves, etc. DSP is mathematics, algorithms, and techniques used to manipulate these signals after they have been converted into a digital form. This includes a wide variety of goals such as, enhancement of visual images, recognition and generation of speech, compression of data for storage and transmission etc.
Quest Innovative Solutions has a team of highly qualified DSP engineers entrusted with creating cutting edge DSP solutions. Biometrics, Image and Audio Processing are some of the areas of expertise of QIS.

P.G Diploma in DSP

At QIS we have developed a specialized training programme whereby graduates in the field of Computer Science and Electronics can interact with our DSP engineers and get themselves trained in the latest DSP technology, working with popular DSP boards from Texas Instruments, Analog Devices and Motorola, and using the latest simulation tools such as Matlab, Mathcad, and VisSim. This training program ensures that the student is rapidly acclimatized to the current requirements of the DSP industry.

 
Features
  • Advanced C Programming.
  • D S P Fundamentals.
    MATLAB based modeling and simulation of Digital Filters and Imaging Algorithms.
  • GUI Programming Using GUIDE
  • SIMULINK Modelling.
  • Real Time Signal Processing and CODEC initialization using TMS320C3x 32-bit floating-point processor.
  • Implementation of communication protocols on TMS320C54x 16-bit fixed point processor.
  • Hands on experiments on ADSP2106x 32-bit SHARC processor.
  • Implementation of Image and Speech coding Algorithms on ADSP219x 16-bit fixed point simulation platform.
  • Seminars on high-end DSP applications.
  • Realtime Exposure on SCOPE Audio Platform.
  • Projects on Embedded DSP applications.
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