TVAL3_v1.0

不考虑多径干扰时在高斯白噪声和瑞利衰落信道条件下QPSK的调制解调过程， 并采用准分析法完成误码性能的计算。仿真过程包括仿真信号产成，滤波器设置，QPSK调制，加入高斯白噪声，通过锐利信道衰落，QPSK解调，误码率计算等几部分(Not consider multi-path interference at the white Gaussian noise and Rayleigh fading channel under the conditions of the QPSK modulation and demodulation process and the use of quasi-analysis method to complete the calculation of BER. The simulation process includes the middle class into a simulation signal, filter settings, QPSK modulation, by adding Gaussian white noise, through the sharp decline in channel, QPSK demodulation, bit error rate calculation and other parts)

这是一个基于DTW的语音识别算法，由matlab实现，相信对大家有帮助。(This is a DTW-based speech recognition algorithm by matlab to achieve, I believe that everyone has to help.)

APM飞控程序，Ardupilot3.2.1(Flight control program of the APM, Ardupilot3.2.1 )

正交匹配追踪(OMP)在稀疏分解与压缩感知重构，稀疏分解先于压缩感知提出，信号稀疏表示的目的就是在给定的超完备字典中用尽可能少的原子来表示信号，可以获得信号更为简洁的表示方式，从而使我们更容易地获取信号中所蕴含的信息，更方便进一步对信号进行加工处理，如压缩、编码等。(Orthogonal Matching Pursuit (OMP) is used in sparse decomposition and compressive sensing reconstruction. Sparse decomposition is proposed prior to compressed sensing. The purpose of signal sparse representation is to represent the signal with as few atoms as possible in a given overcomplete dictionary. The more concise representation of the signal allows us to more easily obtain the information contained in the signal, making it easier to further process the signal, such as compression and coding.)

语音识别教程，内附源文件和学习文件，可对照学习(speech recognition learning )

利用Matlab实现BP神经网络的程序，给出了具体的例子，写得比较详细。(The application of Matlab to achieve BP neural network procedures, specific examples are given with more detail.)

一个程序关于车牌检测的识别，之中包括图像的一系列处理，预处理、图像灰度化、二值化、腐蚀等等(solve about edge!)

计算静气动弹性的程序，主要功能包括计算q，和alpha 静稳定性以及表面诱导阻力(Static aeroelastic calculation procedures, the main features include computing q, and alpha-induced static stability and surface resistance)

this is code for matlab tresholding with GUI

说明：  3关节机械臂模型 基于simulink的 自己输入simin(simulink model)