The morphometric analysis of the drainage basin and channel network plays a vital role for understanding the geo-hydrological behavior of drainage basin and its implication on flood. Besides the primary aim of studying drainage basin as a geographical unit in order to understand its hydrological nature, this study examined the morphometric characteristics of Oba river drainage basin in the South-west of Nigeria with the use of GIS in order to evaluate the implication of the morphometric characteristics on flood potential in the study area. The basin was found to be of 6 th order where the total length of streams was 2754.48 km, total number of streams was 2979, basin area and perimeter were 2494.45 km 2 and 291 km respectively while the basin length was 96.1km. The detailed morpometry results obtained in the study, to a significant extent, were found to be helpful for determining the tendency for flood events in the watershed.

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In this paper a software implementation of a reconfigurable Amplitude Modulated (AM) receiver for weak AM signals detection with reduced processing latency is presented. The Stochastic Resonance (SR) algorithm, which is a technique for weak signal detection was developed for software defined, AM receiver. The performance of the SR based AM receiver was evaluated in terms of its output Signal to Noise (SNR) Ratio, and processing latency. From the results from our simulations, this approach provides better performance and lesser processing latency requirement than conventional signal processing methods for detecting AM signals.