08857353DML_Classes

The OFDM based CODiT model.

以多光谱数据为原始数据，通过空间变换、滤波、融合、纹理及图像处理等手段，提取遥感图像多维、多尺度特征，最终建立面向目标检测、识别和分析的特征空间，并使用NASA的实测数据对方法的性能进行验证和分析。(Multi-spectral data to the original data, through space conversion, filtering tools, integration, texture and image processing, remote sensing images to extract multi-dimensional, multi-scale features, for the eventual establishment of target detection, identification and analysis of the characteristics of the space, and measured using NASA performance of the method for data verification and analysis.)

OFDM经典注水算法，可以直接调用，有参考价值(OFDM water classic algorithms, can be called directly, there is reference value)

应用matlab绘制一个轴承运行的动画,可以设置轴承内外圈尺寸(draw a movie of bearing running)

压缩文件中给出了已知系统传递函数及输入信号的情况下，求解系统输出响应的四种方法，即差分方程法，卷积法，DFT法以及滤波器设计方法；此外还包含创建窗及其频率响应的matlab设计。(Known compressed file system transfer function is given and the case of the input signal, the output response of the system to solve the four methods, namely the differential equation method, convolution, DFT method and the filter design methods Also included creating windows and its frequency response matlab design.)

基于MATLAB平台的PWM调制正弦波的快速傅里叶分析(his model simulates and computes Fourier analysis of PWM based sinusoidal waveform. Fundamental frequency can be changed in model properties. Amplitude modulation index and frequency modulation index can be adjusted in Simulink model directly.)

定义了通信中帧格式，用matlab代码实现了这个过程，可以自定义巴克码的长度，接收端可以采用滑动相关法捕获该帧(The definition of a communication frame format, using matlab code to achieve this process, can customize the length of Barker Code, the receiving end of sliding correlation method can be used to capture the frame)

multiscale log filter - finds maximum response of log filter in multiple scales and orientation, really fast(multiscale log filter- finds maximum response of log filter in multiple scales and orientation, really fast)

MAGNITUDE AND PHASE RESPONSE OF HIGH AND LOWPASS FILTER

压缩感知入门程序，让你快速掌握压缩感知的基本思路(the fundamental of compressive sensing, you can understand the compressive sensing this code.)