mfcc

here is a program draw tiế p tuyế n above MATLAB

matlab内容精讲，自己看过了感觉挺好的 推荐学习matlab的同学们可以看看(The matlab content succinctly and have seen a very good feeling the recommended learning matlab classmates can look)

差分编码，带扩频通信，误码率仿真,仿真条件：AWGN信道(DPSK of Spread Spectrum Communication underAWGN )

可转债论文，研究定价，模型，方法，赎回，回售等(This thesis is devoted to evaluating two-factor convertible bonds. Di® erent zero- coupon bond curves are inputted when evaluating convertible bonds issued by com- panies with di® erent credit ratings. Thus the e® ect of the company s credit on the price of the convertible bond is easily and accurately included during the computa- tion. In the model for the interest rate, the parameters in the variance are determined from the market data by statistics and the market price of risk is determined by a zero-coupon bond curve through solving an inverse problem. When we price the con- vertible bond, a free-boundary problem is solved. A Singularity-Separating Method (SSM) is proposed in order to solve this problem e±ciently. Taking the market data)

双向协作通信的中断概率仿真，结果和《Performance Analysis of Two-Hop Relayed Transmissions over Rayleigh Fading Channels》里面的结论完全一样。可以得到三幅图。(Two-way collaborative communication outage probability simulation， results and 《Performance Analysis of Two-Hop Relayed Transmissions over the Rayleigh Fading Channels 》，the conclusion is exactly the same. You can get three in Fig.)

自己写的回声对消算法rls,frls,nlms,apa的matlab仿真，还附有音频文件，和详细的文档说明，很详细，非常适合本科生做毕业设计。(A project on AEC, including rls, frlf, nlms and apa, is carefully writen and would be very helpful to undergraduate students.)

LMs算法，用于线性最优滤波器设计，权系数的递归算法(LMs algorithm for linear optimal filter design, the weight coefficient of the recursive algorithm)

平面型节点散布仿真，用于实现coverage观察(Planar node spread simulation, to achieve coverage observed)

用matlab仿真出HDB3编码以及译码和信源的仿真曲线(Matlab simulation using the HDB3 encoding and decoding and source of the simulation curve)

批量学习模式和遍历学习模式的简单实例，应用LMS算法调节权值。(A simple instance of the batch learning mode and traverse the learning mode, the application of the LMS algorithm adjust the weights.)