S. V. Viraktamath

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Monitoring of street lights and controlling is of utmost importance in developing country like India to reduce the power consumption. This paper presents a street light control system which combines various technologies: a timer, Liquid Crystal Display (LCD), a statistics of traffic flow magnitude, a photosensitive detector (LDR), infrared photoelectric(More)
Discrete cosine transform (DCT) is a widely compression technique for converting an image into elementary frequency components. However, level of quality and compression is desired, scalar multiples of the JPEG standard quantization may be used. In this paper, DCT method was applied to compress image under various level of quality. Different quantization(More)
Description of biodiversity is often cited as one of the most important actions necessary for conservation programs. There are more than 600 species of stingless bees spread over the Tropical regions of the world; though for various species, little is known about their biology and taxonomy. We sampled bees from feral colonies from various regions of India(More)
Cyclic Redundancy Codes (CRC) code provides a simple, yet powerful, method for the detection of errors during digital data transmission and storage. Among Forward Error Correction (FEC) schemes, convolutional encoding and Viterbi decoding are the most popular because of their powerful coding-gain performances. In this paper the implementation of CRC and(More)
Classical Viterbi algorithm (HOVA) and Soft Output Viterbi Algorithms (SOVA) are used for error correction in many applications. Among FEC schemes, convolutional encoding and Viterbi decoding are the most popular because of their powerful coding-gain performances. In this paper the performance analysis of Convolutional encoder and hard decision Viterbi(More)
Digital mobile communication technologies, such as next generation mobile communication and mobile TV, are rapidly advancing. Hardware designs to provide baseband processing of new protocol standards are being actively attempted, because of concurrently emerging multiple standards and diverse needs on device functions, hardware only implementation may have(More)
'Image compression' minimizes the problem that we face in storing and transmitting large amount of data. It reduces the size of data required to represent a digital image. In this procedure, DCT plays an important role. It separates information by using different frequencies. In Discrete Cosine Transformation (DCT), Quantization and encoding are(More)
All real systems that work with digitally represented data require error correcting codes because all real channels are noisy to some extent. The basic goal is to control errors in data transmission over unreliable or noisy communication channels. Coding techniques can be divided into two main classes-convolutional and block codes. Convolutional codes are(More)
Compression algorithms reduce the redundancy in data representation to decrease the storage required for that data. Data compression offers an attractive approach to reducing communication costs by using available bandwidth effectively. Though this scheme has clear benefits, the execution time of compression and decompression is critical to its application(More)
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