LZW is dictionary based algorithm, which is lossless in nature and incorporated as the standard of the consultative committee on International telegraphy and telephony, which is implemented in this paper. Here, the designed dictionary is based on content addressable memory (CAM) array. Furthermore, the code for each character is available in the dictionary which utilizes less number of bits (5 bits) than its ASCII code. In this paper, LZW data compression algorithm is implemented by finite state machine, thus the text data can be effectively compressed. Accurate simulation results are obtained using Xilinx tools which show an improvement in lossless data compression scheme by reducing storage space to 60.25% and increasing the compression rate by 30.3%.

Smart antennas are examined as a promising technology in wireless communication systems. In the development of smart antenna technology, Adaptive beam-forming is the most important aspect. Adaptive beam-forming uses various algorithms to identify the signals in the desired direction and separate the interference from the undesired/unwanted direction. In this paper, Proposed Adaptive Beam-forming Algorithm offers the better solution for reducing interference and improves the system capacity. The main objective of this paper is to analyze the different approaches used for designing the smart antennas to track the desired signal and put perfect null towards the interferer signal.