Labimages

说明：  我们分别用FFT和FIR方法实现MTD处理，并进行比较(We were achieved with the FFT and FIR methods MTD treatment, and compared)

本程序是用于在时域中分析处理轴承故障数据的，提取了各种时域的特征参数，包括均值，有效值，峭度，裕度指标，波形指标等等 适合初学者用于轴承的故障诊断中对参数的提取。（附上轴承故障数据3类共21组 正常、内圈、外圈）(This procedure is used in the time domain analysis of bearing fault data processing to extract the characteristics of various time domain parameters, including mean, RMS, kurtosis, margin indicators, wave indicators, and so suitable for beginners for bearings Fault diagnosis of parameter extraction.)

说明：  基于 汽车跟驰模型OVM 和 IDM 的动态特性分析（2辆车）(Dynamical Characteristics of OVM and IDM Using Two Car Simulation for two vehicles.)

说明：  基于扰动观察法的mppt算法，用m函数编写，光伏板接boost电路(The mppt algorithm based on the disturbance observation method is written by the m function, and the photovoltaic board is connected to the boost circuit.)

说明：  MUSIC算法是最经典的超分辨DOA估计方法，它利用了信号子空间和噪声子空间的正交性，构造空间谱函数，通过谱峰搜索，检测信号的DOA。MUSIC算法对DOA的估计从理论上可以有任意高的分辨率(MUSIC algorithm is the most classical super-resolution DOA estimation method. It uses the orthogonality of signal subspace and noise subspace to construct spatial spectral function, and detects the DOA of signal through peak search. MUSIC algorithm can theoretically estimate DOA with arbitrary high resolution.)

FOR ATR scard - Advanced Card Systems ACR120S_inst_Win_1020_A Application and Drivers

一种进行小波降噪后，对特征库的信号进行信号经验模态分解的例子(An example of signal empirical mode decomposition for signal of characteristic library after wavelet de-noising)

基于matalab的最大熵方法的图像分割程序(Segmentation based on maximum entropy)

kalman跟踪经典实例程序，C语言编写，跟踪鼠标移动(kalman tracking classic example program, C language, tracking mouse movements)

仿真4-PAM载波调制信号在AWGN信道下的误码率和误比特率性能，并与理论值相比较。假设符号周期为1s，载波频率为10Hz，每个符号周期内采样100个点。 (Simulation 4-PAM modulation signal in AWGN channel bit error rate and bit error rate performance, and compared with the theoretical value. Assuming symbol period for 1s, the carrier frequency is 10Hz, each symbol period sampling 100 points.)