CSD_S8_notes_2010

fuzzy membership optimation using h-infinity

广义动态因子模型的matlab代码，用于估计变量的共同成分，以及预测。(GDFM matlab code)

HFS algorithm for identifying

All about the digital modulations ASK, FSK, QPSK

在matlab2011b环境下 搭建了永磁同步电机空间矢量调制的仿真模型，仿真效果比较满意。另外根据需要自己搭建了pmsm的电机本体模型。(In matlab2011b environment to build a simulation model of permanent magnet synchronous motor space vector modulation, simulation results were satisfactory. Also, according to the need to build their own model of pmsm the motor body.)

This code is the Ibrahim Time Domain Technique to extract modal properties of a structure

) Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree. () Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree. )

《GNSS单频软件接收机应用与编程》光盘(GNSS software receiver)

说明：  空间调制SCMA及MPA检测，对这方面的学习很有帮助(SM SCMA and MPA detection)

说明：  一个最新的快速独立分量分析工具箱，很有用(The latest fast independent component analysis toolbox, useful)