viterbi

说明：  气候态数据处理，计算绘制数据分析图，包括经度、纬度、速度、运输量(Calculated data analysis to draw maps, including longitude, latitude, speed, traffic volume)

GMSK信号调制和解调的仿真代码，包含一比特差分、2比特差分、鉴频等常用GMSK解调方案。(Modem matlab file for GMSK modulation and demodulation. The demodulation methods including one-bit differential and two-bit differentian decoding and frequency discrimination.)

least mean square algorithm for estimation state

matlab在科学计算上的应用教程，适用于初学者(matlab tutorial on scientific computing for beginners)

信号与系统 相关分析与卷积运算的试验报告上课写的(Signal related to the system analysis and convolution computing class written test report)

部分用于自动控制的matlab源码，可实现阶跃响应等的模拟，不需要工具库(Part of the matlab source code for the automatic control can be realized such as step response simulation, no tool Library)

根据灰色预测理论，用程序实现预测，效果较好(According to the gray prediction theory, use the program predicts better)

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)

two methods of calculating eucledian distance are shown in the m files

matlab code for cdma