If the nodes in a multi-media data transmission system can not meet low power in traditional wireless sensor networks (WSNs), it will greatly reduce the network life cycle. On the basis of quantized compressive sensing (QCS), this paper presents a communication model which can analyze the impact of uniform quantization coding and Hoffman coding on image’s transmission and reconstruction. According to the prior probability of image measurement, this paper proposes a novel scheme for non-uniform quantizer.The simulation results show that the multi-media data transmission system can obtain images effectively and reduce the distortion by using the proposed scheme.

A broadband radar cross section (RCS) calculation approach is proposed based on the asymptotic waveform evaluation (AWE) technique. The equivalent dipole moment method (EDMM) is used to accelerate the process of filling the impedance matrix and more derivative matrices. So the broadband RCS is achieved quickly by using AWE technique and EDMM. Numerical results show that the computational efficiency is improved significantly by using the method presented in this paper with ensuring the accuracy.