ipath_init_chip

说明：  常规的单载波调制技术在带宽有限的测井电缆上的低传输速率制约着成像测井技术的发展。在分析测井 电缆传输特性和 OFDM 技术原理的基础上 ,设计了一种基于 OFDM 技术的测井电缆高速数据传输系统 ,并介绍了 基于 OFDM 技术的测井电缆高速数据传输系统的参数设计和工作原理 ,给出了不同长度测井电缆上的测试结果。 电缆实测结果表明 ,在 7 000 m长的测井电缆上 ,基于OFDM 技术的测井电缆高速数据传输系统可获得900 kbit / s 以上的数据传输速率和低于 5E28 的误码率。当变压器的接入模式为 Mode2II时 ,系统最高的数据传输速率可达到 1. 1 Mbit/ s。(To solve t he low data t ransmission rate problem in t he conventional single car rier mod2 ulation met hod for logging cable and enhance t he data t ransmission rate , a new data t ransmission system with high data t ransmission rate for logging cable is propo sed , which is based on t he Or2 t hogonal Frequency Division Multiplexing (OFDM) technology. The working principle of OFDM modem and t he procedure of data t ransmission system are al so presented and lot s of test s are car2 ried out on logging cables with different lengt hs. It is verified that t he data t ransmission rate can reach 900 kbit/s on 7 000 meter s logging cable wit h bit er ror rate (BER) lower t han 5E28 , and t he maximum data t ransmission rate is 1. 1 Mbit/s under Mode2II of t he t ransformer .)

This is the paper hematology pdf paper to implement in matlab

一个介绍matlab的课件，介绍模型的，相信对大家都有用处的，很好的课件。(An introduction matlab courseware to introduce the model, I believe we have a useful, good courseware.)

通过pwm控制DC电动机的定子电压的Matlab仿真( PWM EXCITATION DC motor)

harris的matlab程序，精度不是很高，但是大家可以根据需要进行改写(harris)

hurst指数计算宏,计算简单,效率较高(Hurst index macros, computing simple, efficient)

快速傅里叶变换过程描述，matlab运行环境中实现(Fast Fourier Transform process description, matlab environment to achieve)

解决IR-UWB通信系统信号捕获和同步。该方法基于导频序列。接收机使用与导频脉冲序列相匹配的相关滤波器。(To solve the IR-UWB communication system signal acquisition and synchronization. The method is based on the pilot sequence. The receiver uses correlation filter pulse sequence matching with the pilot.)

lfm线性信号的函数实现功能，用于chirp信号的处理(lfm linear function of the signal to achieve functional for chirp signal processing)

摄像机的标定、角点的提取、三维空间的重建、最后生成矫正后无畸变的图形(Camera Calibration，This section takes you through a complete calibration example based on a total of 20 (and 25) images of a planar checkerboard. This example lets you learn how to use all the features of the toolbox: loading calibration images, extracting image corners, running the main calibration engine, displaying the results, controlling accuracies, adding and suppressing images, undistorting images, exporting calibration data to different formats... This example is highly recommended for someone who is just starting using the toolbox. )