EXTENDED_KALMAN_FILTER_example

对一个三次函数寻找最优解（最小值），分别使用全局搜索法、二分法、黄金分割法和斐波那契法共四种方法寻优。函数可在程序中自行指定，有gui界面。(A cubic function to find the optimal solution (minimum), respectively, using a global search method, dichotomy, golden section and Fibonacci optimization method a total of four methods. Function can be specified in the program itself, there are gui interface.)

信息光学课程：用MATLAB模拟光栅的弗朗禾费衍射图样(MATLAB simulation of grating diffraction pattern Francis Wo fees)

两个遗传算法的实现程序，用MATLAB编写。实现效果良好。(This software is a implementation of genetic algorithm, which is written by MATLAB.Using this software, we can have a good result.)

Spatial Channel model examples

matlab implementaion of guided filter example

intelligent electronic device

说明：  OFDM是将高速串行数据分成成百上千路并行数据,并分别对不同的载频进行调制,这种并行传输体制大大扩展了符号的脉冲宽度,提高了抗多径衰落的性能。同时,在传统的频分复用方法中,各子载波之间的频谱互不重叠,频谱利用率较低。而采用OFDM技术,一个OFDM符号之内包括多个经过调制的子载波的合成信号,每个子载波在频谱上相互重叠,这些频谱在整个符号周期内满足正交性,因而在接受端可以保证无失真恢复,从而大大提高频谱利用率。(OFDM divides high-speed serial data into hundreds of parallel data channels and modulates different carrier frequency separately. This parallel transmission system greatly expands the pulse width of symbols and improves the performance of anti-multipath fading. At the same time, in the traditional method of Frequency Division multiplexing, the spectrum between the sub-carriers does not overlap each other, the spectrum utilization ratio is low. In the case of OFDM, an OFDM symbol consists of multiple modulated sub-carriers, each of which overlaps in the spectrum, which is orthogonal throughout the symbol period, thus, no distortion recovery can be ensured at the receiving end, thus greatly improving the spectrum utilization ratio.)

This folder or any similar folder such as this created to hold your speech files, should be copied into the root folder C: , created on the local hard drive. Then the path will read thus C:SpeechDataTope... etc. An alternative is to modify the file setTemplates.m to change the directory as appropriate. Try to use the same microphone for training as well as for recognition to obtain improved accuracy. You might also need to tweak your sound card s mic input level. The recognition time is dependent on systems s processing power and has been observed at between 1 and 5 seconds on various x86 platforms. To speed up recognition, you can implement unconstrained DTW (this is the code portion taking most time).

一本关于利用Matlab进行有限元分析的书籍。是Kattan的第二版。多是关于单元类型的分析。(A book about finite element analysisusing Matlab. Second edition of Kattan. Mainly about element type analysis.)

这本书是关于弹簧系统的，里面附有大量matlab程序，希望能看看(it is about the spring systyem)