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For receiving frequency hopped spread spectrum signals, one needs to first detect the presence of signal in wideband environment and then estimate the hop parameters such as hop time and hop frequency. In this paper we investigate the application of wavelets for the detection and estimation of frequency hopping signals. For detection we propose a method using discrete stationery wavelet filter banks. We compare our results with a method using polyphase filter using Fast Fourier Transform and energy detector. For estimation, we make use of discrete stationery wavelet transform for finding the hopping time by extracting the features from an image obtained from the phase information extracted from the received signal. We present simulation results in additive white Gaussian noise channels that show good detection and estimation at low SNRs.