PAM8

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

说明：  QPSK调制仿真与分析，使用matlab仿真实现QPSK相干调制与解调，通过AWGN信道，画出误比特率曲线(Generate digital baseband signal, add AWGN Gaussian white noise to transmit in the channel, detect the original baseband signal, draw theoretical and simulation error rate curve, QPSK modulation simulation and analysis, use matlab simulation to realize QPSK coherent modulation and demodulation, draw error rate curve through AWGN channel)

spectrum cellular networks

MPSK信号调制方式识别仿真，可产生B，4，8PSK信号加噪声进行仿真，学习信号分析的可以参考(MPSK modulation signal recognition simulation, can generate B, 4,8 PSK signal plus noise simulation, the study of signal analysis can refer to)

基于周立功USBCAN模块通信的上位机应用软件(CANTest communication module)

Bit Error Rate analysis of an Extended Receiver for Rectangular PAM. The performance of a digital communication system in the presence of additive white Gaussian noise (AWGN) can be assessed by the measurement of the bit error rate (BER). The Simulink model provided is a rectangular polar pulse amplitude modulation (PAM) baseband system with an AWGN channel and an extended sample and hold receiver with a low pass filter. An extended receiver has an odd number of sample and hold circuits. What remains to be answered is if such a receiver would provide a more desirable BER than that of a simple S/H receiver.

虚拟串口工具，可以在普通电脑上虚拟成对串口，方便进行串口编程的本地调试(Virtual Serial Port Tool, which can be virtual paired serial ports on ordinary computers, facilitates the local debugging of serial port programming.)

波束形成算法是智能天线研究中最核心的内容。波束形成算法根据基于的对象不同可以分为基于方向估计的自适应算法，基于训练信号或者参考信号的方法和基于信号结构的波束形成方法；根据是否需要发射参考信号，分为非盲算法和盲算法。(The beamforming algorithm is the most important content in the research of smart antenna. Based on the beamforming algorithm according to the different objects can be divided into adaptive algorithm based on direction estimation method based on a training signal, or reference signal and signal beam forming method based on structure; according to whether to send the reference signal, divided into non blind algorithms and blind algorithms.)

语音信号的采集与处理，数字信号处理课设，能量谱分析计算,小波包分析提取振动信号中的特征频率。( Acquisition and Processing of the speech signal, digital signal processing class-based, Energy spectrum analysis and calculation, Wavelet packet analysis to extract vibration signal characteristic frequency.)

对语音信号进行加噪，求它的功率谱，降噪处理(Adding noise to speech signal and reducing noise)