QPSKsimulat

本代码描述了OFDM/OQAM的基本仿真框架，AWGN信道下的ber性能。OFDM/OQAM 是一种很好的多载波系统。(This code describes the basic simulation framework for OFDM/OQAM ber performance in the AWGN channel. OFDM/OQAM is a good multi-carrier system.)

修正的CMA盲均衡算法，用于盲信道均衡，不依赖与训练序列(Modified CMA blind equalization algorithm for blind channel equalization, and training sequences do not depend)

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.)

在OPNET软件上实现路由层和MAC层协议的设计。路由层协议采取LEACH，MAC层协议包括TDMA和CSMA(Achieve routing layer and MAC layer protocols on OPNET software design. Routing layer protocols take LEACH, MAC layer protocols, including TDMA and CSMA)

说明：  雷达系统仿真，雷达SAR成像，信号处理，模糊函数，波形发生，回波模拟，信道模拟，点迹航迹跟踪等等(Radar system simulation, radar SAR imaging, signal processing, ambiguity function, waveform generation, echo simulation, channel simulation, point track tracking, etc.)

基于MATLAB用窗函数设计FIR滤波器，并验证滤波效果(Design FIR filter based on MATLAB with window function and verify filter effect)

dsp 28335 通讯例程，经检测可用，欢迎大家下载(DSP 28335 communication routines are available after testing. Welcome to download.)

calculating CRC from digital and analog input

GMSK modulation code.

基于互相关函数，采用求和广义互相关函数(summed-GCC)法用于机器人系统平台。由于采用不同的映射函数(mapping functions)，GCC法在该平台下，只需三个麦克风即可进行三维定位，突破了基于TDOA法进行三维声源定位最少需4个麦克风的限制(Based on cross-correlation function, using generalized cross-correlation function sum (summed-GCC) method for the robot system platform. Because of using different mapping function (mapping functions), GCC method in the platform, the only three to three-dimensional microphone positioning, a breakthrough TDOA method based on three-dimensional sound localization will take at least four microphone restrictions)