ap_fft

是一个神经网络PID控制例子,控制对象为一个直升机俯仰轴的角度控制,数学模型为二阶传递函数.(Is an example of neural network PID control, control helicopter for a pitch axis angle control, the mathematical model for the second-order transfer function.)

dct 的水印小程序 新手可以参考一下(dct matlab)

实现2PSK系统的matlab仿真以及误码率分析( Achieve 2PSK system matlab simulation and analysis of bit error rate )

说明：  matlab基础教程，适合初学者的基础学习matlab。以及有一定基础者的进阶(matlab basic tutorial for beginners to learn the basis of matlab. And those who have some basic advanced)

matlab读取压电式脉搏传感器数据，并发送至串行助手程序(matlab read piezoelectric the pulse sensor data, and sent to the serial assistant program)

图像的二维小波分解与重构，dwt2函数和idwt2函数的应用(Two-dimensional image wavelet decomposition and reconstruction, dwt2 function and function application idwt2)

WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender. Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?

运用matlab实现了DS证据理论，可以用来仿真(Using MATLAB to achieve the DS evidence theory, it can be used to simulate)

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

用matlab处理浮雕效果,一个小程序，对初学者很有帮助(matlabforimagefiltering)