ML2007b_CN_071024

MATLAB R2007b神经网络工具箱官方使用操作说明(MATLAB R2007b neural network toolbox official use instructions)

数字基带系统将数字信号从时域上看时数字滚降，需要画出滚降前后的波形展示出来。频域上带宽变化了。输入滤波器之前的波形与采样判决之后的波形。采样判决前的频谱。 采样判决后的码型。 2、眼图（采样判决之前的眼图）（信噪比大眼图清晰） 3、误码曲线，（横坐标时信噪比，纵坐标时误码率） 4、Arfa变化对误码特性的影响，变好还是变差(变好)，眼图清晰度变化（清晰），传递函数的带宽的变化。（带宽越大）(1.Digital baseband system point of view the digital signal from the time domain when the number of roll-off, you need to draw the waveform displayed before and after the roll-out. The frequency domain, the bandwidth change. Input filter and sample ruling before the wave after wave. Sample pre-judgment spectrum. Sampling pattern after the verdict. 2, the eye diagram (eye before sampling decision) (SNR big eye clear) 3, the error curve (abscissa when the signal to noise ratio, bit error rate when the vertical axis) 4, Arfa impact of change on BER performance, get better or worse (getting better), change of eye-definition (clarity), the transfer function of the bandwidth changes. (The greater the bandwidth))

用Matlab编写的三维荧光分析工具，可以导入、浏览荧光数据，自动进行平行因子分析，并确定荧光组分。(The drEEM toolbox (decomposition routines for Excitation Emission Matrices) has been developed to support and extend the application of PARAFAC to fluorescence Excitation Emission Matrix (EEM) datasets. The toolbox contains numerous MATLAB functions for importing, assembling and exporting datasets, applying spectral corrections, visualising EEMs, detecting sample outliers, and developing and validating PARAFAC models. drEEM uses the embedded N-way toolbox as its PARAFAC engine. )

控制领域：转台伺服控制系统的研究，摩擦力矩，齿槽力矩等(Control areas: Servo Control System, friction torque, cogging torque)

matlab学习资料，一个倒立摆的练习题，适合初学者(matlab learning materials, an inverted pendulum exercises for beginners)

贝叶斯压缩感知的仿真程序，此程序使用LAPLACE先验，(This is a simple example to test the fast Laplace algorithm from the following paper: S. D. Babacan, R. Molina, A. K. Katsaggelos. bayesian Compressive Sensing using Laplace Priors)

BPSK的simulink仿真，及其完整的参数设置，频谱分析图和星座图(Simulink simulation of BPSK, and a complete set of parameters, the spectrum and constellation diagram analysis)

stegnography data hiding in image.

Unit Commitment Methods to Accommodate High Levels of Wind Generation

本代码包含了利用可行点标记求最佳匹配算法的MATLAB代码，求最小费用最大流算法的PkyHyj程序，还有利用遗传算法解决 sYTJYqg 问题的Matlab程序。非常适合初学MATLAB的朋友学习。(The code contains the use of feasible point mark for the best match algorithm MATLAB code, find the minimum cost maximum flow algorithm PkyHyj program, as well as the use of genetic algorithms to solve the problem sYTJYqg Matlab program. Very suitable for beginners to learn MATLAB friends.)