Pascal_T2

是关于雷达算法的一些资料 主要是用来做速度退模糊的算法 学雷达方面的多看看(Is some information about the radar algorithm is mainly used for the speed radar back fuzzy learning algorithm' s see more)

CDMA Simulation Using MATLAB This program models a simple implementation of CDMA technology. It considers multiple bit data streams sent by any number of senders across a common channel. Each sender uses a unique code word, given by the Walsh set, to encode its data, send it across the channel, and then perfectly reconstruct the data at the receiver. The simulation utilizes these simplifications: 1. The individual data streams share the same bit length. 2. The code words are determined using the Walsh set to create orthogonal code words. 3. The spreading factor M of each code word is identical. 4. All users (data streams and codes) are synchronized in time. 5. Set-up and hold times of real-world systems are ignored. 6. The channel through which the data passes is ideal.

预测函数控制的英文书籍很有用，包含很多内容(English books useful predictive function control contains a lot of content)

经典的music同步代码，可用于3GLTE下行时频同步计算，很有用的资料额。。(a very commom synchronization method named as MUSIC,used for 3GLTE downlink timing and frequency sychronization ,it s useful.)

Linear Prediction using Levinson Durbin Recursion and Lattice Filters

MATLAB程序编写产生特定功率、有限带宽白噪声，可以做为激励用于振动系统的输入。(MATLAB programming to produce the white noise of a particular power, limited bandwidth, can be used as incentives for vibration system input.)

CV模型，利用概率数据关联算法和最近邻算法对其进行跟踪滤波，保证正确(CV model, the probabilistic data association algorithm and the nearest neighbor filter algorithm to track and ensure the correct)

是一个matlab写的颜色空间的转换，不是matlab自带的那个文件。可以实现任意的两个颜色空间的转换(Write a matlab color space conversion, not a matlab file that comes with that. Can achieve any two color space conversion)

合成孔径雷达信号处理 matlab 程序(SAR Signal Processing Matla program)

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more info). Because of some architectural features of convolutional networks, such as weight sharing it is imposible to implement it using Matlab Neural Network Toolbox without it s source modifications.