BPSK-AWGN

说明：  该资源为应用GNUradio工具，对USRP的开发，主要实现了频谱感知，以及根据频谱感知的结果进行ofdm通信的功能(This resource is the development of USRP using gnuradio tool. It mainly realizes the function of spectrum sensing and OFDM communication according to the result of spectrum sensing)

Print out Even Numbers

matlab code for qpsk

说明：  实现ldpc的编译码功能，译码算法使用的对数域bp译码算法(LDPC codec realize the function of decoding algorithm used in log-domain decoding algorithm bp)

通过粒子群算法改进了矢量量化,有利于图像的压缩(The particle swarm optimization is used to improve the vector quantization, which is beneficial to the compression of the image.)

说明：  使用pyqt编写的界面程序，实现串口网络通信(The interface program written by pyqt is used to realize the serial port network communication)

超宽带无线通信仿真平台，基于IEEE标准制定，IR-UWB(Ultra-wideband wireless communications simulation platform, based on IEEE standards, IR-UWB)

WAVECOM GSM MODEM用户中文使用说明书(WAVECOM GSM MODEM User Manual Chinese)

争对移动声源采用波束形成进行语音增强，提出一种约束子带波束形成算法。其波束形成器基于一个软约束，其目的是要使波束指向特定的区域即声源方向。而其核心在于首先要进行声源定位，获得尽量准确的方位信息，然后构造软约束条件，用于波束形成。且在此过程中不断跟踪声源的移动情况。在构造的约束条件中，需要知道声源的二维信息，即与麦克风阵列的距离和方向角，“软”体现在对距离和方向角的确定都是在一定范围内的，有待进一步更正。(Between the mobile sound source using beamforming for speech enhancement, a constrained subband beamforming algorithm. Its beamformer based on a soft constraints, the aim is to make the beam point to a specific region that is the direction of the sound source. And its core is the first to sound source location, access to location information as accurately as possible, and then construct the conditions of soft constraints for beamforming. And in the process continuously tracking the movement of a sound source. Structure at the binding conditions, need to know the two-dimensional sound source information, that is, with the microphone array the distance and direction angle, the " soft" embodied in the distance and direction angle of the determination are within the scope must be further corrected .)

此代码通过随机生成二进制码，对其进行二进制差分调制，以及加入高斯白噪声后对其解调计算误码率，绘制出其输入信噪比与输出信噪比的实验曲线及理论曲线的比较。(This code generates binary codes randomly, modulates them by binary differential modulation, demodulates them with Gauss white noise and calculates the bit error rate, draws the experimental curve and theoretical curve of their input signal-to-noise ratio and output signal-to-noise ratio.)