ANALYSIS OF EFFECT OF APPROXIMATING OUTPUT SAMPLES USING RANDOM SUB-SAMPLING OF INPUT FOR COMPUTATION REDUCTION IN FILTERING OPERATION

Communication plays a significant role in today’s life. Integration of computing and communicating devices, wide-spread internet access through World Wide Web (WWW), and wireless links are an increasing demand for mobile cellular services at the consumer end, so it has led to new signal processing technologies. Signal processing and communications are tightly inter-woven and immensely influence each other. As the need for sophisticated signal processing algorithms and hardware increase, their potential to make contributions to the communication revolution appears unbounded. Digital signal processing (DSP) technology is widely used in numerous familiar products, peripherals of computers and the electronics world. This paper deals with the optimization of DSP environment for communication applications. Emphasis is given to the receiver part of the communication system; more specifically the channel separation aspect is discussed. No such algorithm for the computational saving for receiver part of communication system has been reported earlier. In this paper an attempt has been made to optimize the filtering operation.