HRV

该书详细描述了 matlab编程从入门到精通(Book describes in detail the matlab programming from entry to the master)

说明：  利用物体的几何特征参数，和bp神经网络实现分类。(The use of the geometric characteristics of object parameters, and the realization of bp neural network classification.)

有CDF三角函数曲线/三维曲线图，欢迎大家下载学习，三相光伏逆变并网的仿真，LCMV优化设计阵列处理信号，分析了该信号的时域、频域、倒谱，循环谱等。( There CDF trigonometric curve/3D graphs, Welcome to download the study, Three-phase photovoltaic inverter and network simulation, LCMV optimization design array signal processing, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.)

说明：  主动频率偏移法的改进,可以作为参考，只是需要一定的文献才能看懂(this s a typical method to solve the problem about the isolated land)

Dynamic texture recognition using local binary patterns with an application to facial expressions(Dynamic texture recognition using local binary patterns with an application to facial expressions.pdf)

一些有关matlab在通信仿真中用到的源码,例如各种编码方法。很有实用价值，(some communications in the Matlab simulation to use the source code, such as the various coding method. Useful,)

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))

entering data nu=input( give poisson ratio: ) e=input( give mudule of elasticity: ) ro=input( give denstity of material,ro: ) beta=input( give Damping Factor Beta: )

its help ful for learning adaptive filter I hope that you have good learning adaptive filter

this code is LSB data hiding source book.