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High Definition - SCDS

 

Develop a HD Streaming Content Delivery System (over a Standard IMS Architechture SIP/RTP/RTSP to enable advanced communication services over IP) for delivery of multimedia content over a data network. Parameters of design include, standalone packet monitoring tool, Call handlers, Push Announcements Features & Media Processers, GUI for streaming content with DRM modules (OMA DRM) for content security, etc.

Compression Theory - Chaos Mathematics

 

Design and Implementation of a New Compression Algorithm for Video/Images/Audio(H.264 Video & MPEG-2 for Test) for application in streaming content over IP, HD video conferencing & Telepresence. (Dyanamac ® Compression Algorithm, Dr. Chance M Glenn Sr.)

H.264 Transcoding

 

To Design and Implement a Rate Control scheme for H.264 Video for real time encoding of video communications with constraints such as low bandwidth, computational complexity, delay, latency and/or losses.

Content Stream Encoder

 

Simulate a compression-encoder based video conferencing environment(H.264-V / G.711-A) over a Telecom Based IP Network. Simulation Test Parameters include dual stream, dual encode handling, design of multi point control unit et al.

Channel Design for Content Delivery

 

Team Leader for Design and Implementation (in MATLAB & JAVA) of a Channel for transmission of Video/Image/Audio Data.(Receiver/Transmitter)
Design Elements: Convolutional Encoder/Decoder (RS Enc/Dec),QAM/QPSK Modulation/Demodulation Schemes, A Band Limited AWGN Channel with Noise Tuning System, Matched Filter etc.(Design Bench : H.264(Hi422p, Hi444p) & VC-1 Video Compression standards)

Image Segmentation

 

Feature detection and Extraction of objects in a given set of images using image segmentation. (Used Sobel operator for edge detection and in-built MATLAB commands with designed threshold value for feature extraction).

OFDM Channel

 

Design and Implementation of an OFDM channel using 4-QAM modulation/Demodulation technique, convolution Encoder/Decoder for Error Correction/Detection, Amplifier etc. parameters for successful transmission of content considering constraints such as loss, low BW, latency etc. (Noise Externally added post-Transmission)

Adaptive Signal Processing

 

Feature Extraction and Analysis of Performance Surface (MSE, Newton’s Method) of a given set of Audio samples.(MATLAB/C). Comparison of Theoretical and Practical Calculation of MSE’s for the given Audio Sample

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