bpsk

UWB，超宽带信号分析必用的子函数，第16部分！(UWB, ultra-wideband signal analysis will be used for Functions, Part 16!)

模型降阶的资料，十分新颖，主要是非线性系统(Model reduction for nonlinear DAEs)

Given gray scale double matrix, M(width,height,frameNum),this function stabilizes the sequence using the Grey-Coded Bit-Plane Matching (GC-BPM) algorithm.(Given gray scale double matrix, M (width, height, frameNum). this function stabilizes the sequence using th Gray e-Coded Bit-Plane Matching (GC-BPM) algo rithm.)

峰值滤波用于数据特征处理，可提高算法运算速度和鲁棒性(Peak filter characteristics for data processing, the operation speed can be increased and the robustness of the algorithm)

利用GNSS 进行高精度导航定位的前提是正确固定载波相位观测值的整周模糊度。由Galileo 系统的4 个载波观测值可以 形成诸多有良好特性的组合观测值,利用这些组合观测值,结合MCAR 方法,可以有效地确定整周模糊度。(The use of high-precision GNSS navigation and positioning the premise is correct carrier phase observations fixed integer ambiguity. May consist of four carriers observations Galileo system There are many good characteristics to form a combination of observations using a combination of these observations, combined with MCAR method can effectively determine the integer ambiguity.)

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))

这个是全部的matlab下的时频分布在故障诊断中的运用的代码(This is all the Matlab under the time-frequency distribution in fault diagnosis on the use of code)

该文件主要用于多智能体网络一致性研究的matlab相关代码(This document is mainly used for matlab related codes in the study of multi-agent network consistency.)

用Matlab实现最短路径dijkstra算法(Using Matlab to achieve the shortest path dijkstra algorithm)

Conditional Entropy of a function