A spectrum sharing method based on ATM

ieee802.15.4a信道模型.是2-10G部分，是SV模型(ieee802.15.4a channel model )

横重要的leach 协议哦对你有很大的帮助 (Oh cross important leach agreement)

Meta 1 MMU handling code.

mini2440上qtopia应用程序开发步骤(arm-qtopia版本)(mini2440 steps on the qtopia application development (arm-qtopia version))

说明：  broadcom公司芯片驱动接口命令行操作指导(Broadocom chip driver operation command line interface instructions)

在Windows95下PC机和单片机的串行通信。 基于32位操作系统Windows95的工业控制PC机和单片机间的串行通信，给出了用VC＋＋5．0和PL／M－96语言编写的串行通信程序(Under the PC in the Windows95 and single-chip serial communication. 32-bit operating system based on the Windows95 machine and industrial control PC serial communication between the single-chip, is given by VC++5.0 and PL/M-96 language serial communication program)

this is a paper for pcf beam splitter!

仿真实现了关于认知无线电中合作频谱检测的性能分析(Simulation to achieve the performance of cooperative spectrum sensing in cognitive radio)

对当前通信信号中常用的数字调相信号BPSK、QPSK、1／4一QPSK、8PSK的调制识别问题，提出了一种基于信号差分高阶累积量的识剐算法。该算法分两个层次进行调制识别，首先利用信号的四阶累积量特征对BPSK、QPSK和{1／4一QPSK、8PSK}信号进行识别，然后再利用信号差分的四阶和八阶累积量特征对1/4-QPSK、8PSK信号进行识别。从理论上分析了的该算法的有效性，并通过计算机仿真验证了算法具有良好的性能。(A recognition algorithm based on differential high-order cumulant is proposed for the modulation recognition problems of BPSK, QPSK, 1/4-QPSK and 8PSK, which are commonly used in current communication signals. The algorithm is divided into two levels for modulation recognition. Firstly, BPSK, QPSK and {1/4-QPSK, 8PSK} signals are identified by using the fourth-order cumulant characteristics of signals, and then 1/4-QPSK and 8PSK signals are identified by using the fourth-order cumulant and eighth-order cumulant characteristics of signal difference. The validity of the algorithm is analyzed theoretically, and the good performance of the algorithm is verified by computer simulation.)

说明：  利用通信系统中调制信号的循环平稳特性,对频谱空洞进行检测,提升频谱感知技术在低信噪比下的性能。实验结果表明:与传统能量检测方法相比,采用循环特征检测方法改善了认知无线电中频谱空洞的检测能力。(Based on the cyclostationarity of modulation signals, spectrum hole is detected, aiming at the improve- ment of the performance of spectrum sensing in low SNR situation. The results show that comparing with the tra- ditional energy detection technique, cyclostationarity-based spectrum sensing technique has greatly improved the detective ability in cognitive radio.)