cacode

MAtlab code to do depth conversion of horizons in seismic interpretation

汽车车牌的图像识别。 根据车牌凸角轮廓特征，采用MPP算法进行车牌倾斜校正；采用彩色图像分割方法，最大限度的去除图像噪声干扰；设计了基于神经网络的多种彩色背景车牌字符识别方法，取得了良好的效果。(Image recognition of vehicle license plates. According to plate convex contour feature, the use of MPP plate tilt correction algorithm using color image segmentation method, the maximum removal of image noise designed based on a variety of colored background neural network method for license plate recognition, and achieved good results.)

精通matlab，教你如何使用matlab。(Proficient in matlab, teach you how to use matlab.)

Chapter 2 DSP course

可以得到很精确的幅值、频率、相位估计，FMCW调频连续波雷达的测距测角，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。( You can get a very accurate amplitude, frequency, phase estimation, FMCW frequency modulated continuous wave radar range and angular measurements, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)

FFT算法C语言实现 和MATLAB中fft函数结果一样的功能(FFT algorithm C language and MATLAB fft function results in the same function)

PWM整流器,虚拟电网磁链定向的控制方式论文.(PWM rectifier, the virtual grid flux oriented control mode papers.)

these are the gold codes used in the cdma systems.

说明：  关于神经网络（matlab）归一化的见解(On Neural Networks (matlab) normalized view)

先进 PID 控制及其 MATLAB 仿真（教材+相关程序） 刘金琨 著 电 子 工 业 出 版 社 内 容 简 介 本书从 MATLAB 仿真角度系统地介绍了 PID 控制的基本理论、基本方法和应用技术，是作者多年来从事控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的新成果。 全书共分十章，包括连续系统和离散系统的 PID 控制，常用数字 PID 控制，专家 PID和模糊 PID 控制，神经 PID 控制，遗传算法 PID 控制，多变量解耦 PID 控制，几种先进的PID 控制，灰色 PID 控制，伺服系统 PID 控制，PID 实时控制，每种方法都通过 MATLAB 仿真程序进行了说明。本书各部分内容既相互联系又相互独立，读者可根据自己需要选择学习。本书适用于从事生产过程自动化、计算机应用、机械电子和电气自动化领域工作的工程技术人员阅读，也可作为大专院校工业自动化、自动控制、机械电子、自动化仪表、计算机应用等专业的教学参考书。(advanced PID control and MATLAB (materials related procedures) with the electronics industry, Hangzhou Press Description of the book from the perspective of MATLAB simulation system introduced PID control of the basic theory, Basic methods and techniques, is the author of control systems for years to teaching and research work at the crystallization Meanwhile at home and abroad into the peer in recent years has made new achievements. The book is divided into 10 chapters, including discrete and continuous system of PID control system, commonly used digital PID control, Expert PID and fuzzy PID control, neural PID control, genetic algorithm PID control, Multivariable decoupling PID control, several advanced PID control, gray PID control, PID control servo system, PID control in real time, ea)