ebp4

对波形进行统计特征分析的程序，主要包括SK,KU,PEAK,CC等(On the waveform characteristics of the analysis of statistical procedures, including SK, KU, PEAK, CC, etc.)

matlab 对线路的仿真 希望对大家有用，大家可以看看(very good)

该程序主要是比较对信号分别进行希尔伯特变换HT和广义希尔伯特变换GHT所得到瞬时相位的比较，结果证明GHT较HT对信号有较好抗噪特性，同时瞬时相位也可以用来重构信号，但主要起了指示的作用。(We can get instantaneous phase of the signal by HT or GHT，and the results prove that GHT has better noiseproof feature,namely robustness than HT.In the meantime,we could restruct signal using the information of instantaneous phase,but it mainly has good directives roles.)

这是关于“噪声调频信号”的仿真模型，已经编译好，直接运行即可(This is on the )

机器人控制仿真程序一书的所有源代码，机器人控制系统的设计与MATLAB仿真(Robot control simulation program of a book on all the source code, the design of robot control system simulation with MATLAB)

主要用于EVT格式转化，包括代码和测试数据(for evt formate transformation)

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)

matlab code for kfcm

CMTF工具箱包含了耦合矩阵和张量矩阵的分解的matlab编码(Coupled Matrix and Tensor Factorization for Matlab)

it describes the image analysis using matlab