完整的WSN 经典定位算法MATLAB编程

通信原理实验中pam的例程，自己编写的，可以选择插值方法。(Communication principle experiment pam routines, have written, you can choose interpolation method.)

本人编写的演化博弈相关结果，包括演化均衡，最优反应，相平面等(I write the evolution of game-related results, including the evolution of a balanced, optimal reaction, phase plane, etc.)

压缩感知中利用增广拉格朗日方程解最小稀疏正则化的恢复算法(DAL solves the dual problem of (1) via the augmented Lagrangian method (see Bertsekas 82). It uses the analytic expression (and its derivatives) of the following soft-thresholding operation， which can be computed for L1 and grouped L1 (and many other) sparsity inducing regularizers. If you are interested in our algorithm please find more details in our technical report or in my talk at Optimization for Machine Learning Workshop (NIPS 2009).)

科斯塔斯环基于simulink的仿真 已封装(costas loop in simulink-based simulation Encapsulation)

把轨道根数转移到对应的状态向量，在轨道中很常用。(The orbital elements are transferred to the state vector)

说明：  多元经验模式分解（MEMD）算法是EMD算法从单个变量到任意数量的变量的扩展，其与经验模态分解一样存在模式混合问题，基于噪声辅助的多元经验模式分解（NAMEMD）就在对MEMD的改进，解决其问题。(The multiple empirical mode decomposition (MEMD) algorithm is an extension of the EMD algorithm from a single variable to any number of variables. Like the empirical mode decomposition, there is a mode mixing problem. The noise-assisted multiple empirical mode decomposition (NAMEMD) is just Improve and solve its problems.)

应用背景OFDM收发仿真程序，包含卷积码编码，Viterbi译码等，有比较详细的注释关键技术 参数可调卷积码编码 Viterbi译码 上变频、下变频 参数可调的交织技术 同步技术

用matlab进行语音合成，用到matlab GUI编程，界面友好。本人课程设计作品，希望对各位有所帮助。(Using matlab for speech synthesis, using matlab GUI programming, user-friendly. I curriculum design works, you want to be helpful.)

产生一个线性调频信号并分析它的频谱，使用Matlab编写。(Produce a linear frequency modulation signal and analyzes its spectrum，Using Matlab )

Adaptive filtering constitutes one of the core technologies in digital signal processing and finds numerous application areas in science as well as in industry. Adaptive filtering techniques are used in a wide range of applications, including echo cancellation, adaptive equalization, adaptive noise cancellation, and adaptive beamforming. Acoustic echo cancellation is a common occurrence in today’s telecommunication systems. The signal interference caused by acoustic echo is distracting to users and causes a reduction in the quality of the communication. This paper focuses on the use of LMS and NLMS algorithms to reduce this unwanted echo, thus increasing communication quality.