在协作频谱感知网络中，感知时间和数据融合准则均影响着感知性能。
In cooperative spectrum sensing networks, the performance of the spectrum sensing is influenced by the sensing time and data fusion scheme.
实验表明，语音信号在基于模板匹配的近似KLT域的压缩感知性能较好。
Simulation results demonstrate that compressed speech signal sensing in the approximate KLT using template matching has good performance.
仿真表明该方法能够在感知性能损失有限的情况下有效减小报告信道的开销。
The simulation results showed that cooperative spectrum sensing algorithm based on quantization and encoding could effectively reduce the reporting overhead under constrained sensing performance loss.
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