Engineering topics

Kwatra, Subhash C.

Publications and source records attributed to Kwatra, Subhash C..

3 records

NASA NTRS1999

High-Performance, Low-Complexity Codes Researched for Communication Channels

NASA Lewis Research Center s Communications Technology Division has an ongoing program in the development of efficient channel coding schemes for satellite communications applications. Through a university grant, as a part of this research, the University of Toledo is investigating the performance of turbocodes, which use parallel concatenation of non-systematic convolutional encoders with an interleaver. The error correcting capacity of these codes is close to the Shannon limit. The research emphasis is on the development of low-complexity, but higher rate (greater than one half), turbocodes and on the iterative decoding of block codes.

Kwatra, Subhash C.↗

NASA NTRS1994

Satellite Multicarrier Demodulation System

Proposed onboard signal processing system for communications satellites performs real-time conversion of multiple uplink (received) signals in single-channel-per-carrier, frequency-division-multiple-access (SCPC/FDMA) format to downlink (transmitted) signals in time-division-multiplexed (TDM) format. Conversion approach enhances use of allocated spectrum and reduces required effective isotropic radiated power at both transponder (satellite) and Earth stations. Equipment needed to implement scheme less complex and less expensive than time-division-multiple-access (TDMA) formats. More economical future satellite communication systems made possible through use of many small-capacity multiservice Earth terminals.

Budinger, James↗

NASA NTRS1987

An adaptive algorithm for motion compensated color image coding

This paper presents an adaptive algorithm for motion compensated color image coding. The algorithm can be used for video teleconferencing or broadcast signals. Activity segmentation is used to reduce the bit rate and a variable stage search is conducted to save computations. The adaptive algorithm is compared with the nonadaptive algorithm and it is shown that with approximately 60 percent savings in computing the motion vector and 33 percent additional compression, the performance of the adaptive algorithm is similar to the nonadaptive algorithm. The adaptive algorithm results also show improvement of up to 1 bit/pel over interframe DPCM coding with nonuniform quantization. The test pictures used for this study were recorded directly from broadcast video in color.

Kwatra, Subhash C.↗