SV5L60H7duan1

协作通信的两种协作方式AF、DF的相关文档和独立编写的仿真程序，可用于比较两种方式下的误码性能(Collaboration of the two types of communication modalities for collaboration AF, DF and documentation prepared by an independent simulation program can be used to compare two methods of bit-error performance)

理论力学-小球与弹簧块matlab模拟（xqythk.m xqythkfun.m ） (Theoretical Mechanics- small ball and spring block matlab simulation (xqythk.m xqythkfun.m))

说明：  经典ldpc编译码程序 gallager的博士论文里的部分仿真程序(classic ldpc encryption procedures Gallager doctoral thesis of simulation program)

Mathematica教程，包含12个章节，叙述详细，可以满足基本需求(Mathematica tutorial contains 12 chapters, describes in detail, to meet basic needs)

Poincare code for detect the area of object. this the new work.

可以再研究非线性动力学问题中计算分形维数的Matlab程序(fractal dimension Matlab algorithm in nonliner dynaimcal systems )

卡尔曼滤波应用 通过卡尔曼滤波跟踪移动中的目标(Kalman filtering applications through the Kalman filter tracking moving target)

光纤LP13模式,光纤模式计算，纤芯模式，有效折射率(Fiber LP13 mode, fiber mode calculation, fiber core mode, effective refractive index)

说明：  针对低信噪比环境下基于能零比的端点检测方法准确率低的问题,提出了一种结合谱减法和短时零熵法的端点检测方法。首先通过功率谱减法对带噪语音进行降噪处理,然后结合短时平均过零率特征与谱熵特征,构造出一种新的语音参数,即短时零熵,最后运用双门限算法进行端点检测。实验结果表明该方法在复杂噪声环境下具有良好的端点检测性能,降低了检测的误判率。(To solve the problem of low accuracy of endpoint detection method based on energy zero ratio in low SNR environment, an endpoint detection method combining spectral subtraction and Short-term zero entropy method is proposed. Firstly, the noise is reduced by power spectrum subtraction, then a new speech parameter, short-time zero entropy, is constructed by combining the short-time average zero crossing rate and spectral entropy. Finally, the double threshold algorithm is used for endpoint detection. The experimental results show that this method has good performance of endpoint detection in complex noise environment, and reduces the rate of detection error.)

matlab自学的六十多个简单易学的小程序，学习完这六十多个程序之后，你的matlab水平将得到很大的提高！(matlab for learning by yourself!matlab for learning by yourself!matlab for learning by yourself!matlab for learning by yourself!)