BPyuce

包含大量的MATLAB使用技巧,非常实用(Contains a large number of MATLAB tips, very useful)

MSK的两种调制与解调算法，对于初学者来说很有帮助(MSK modulation and demodulation of the two algorithms is very helpful for beginners)

FBD法谐波检测 在matlab R2007b版中建立，完整可运行

《无线通信与原理应用》中QPSK编码的误码率曲线绘制的代码，简洁易懂。有注释，方便修改。("Wireless communications and Principle" in the QPSK coded BER curve drawing code, concise and easy to understand. Notes, easy to modify.)

波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)

收集的一组跟噪声产生以及消除、衡量消噪性能指标的MATLAB仿真源代码，每个文件夹下都附有对该代码的注解！(gathered with a group and the elimination of noise, the weighing-noise performance indicators MATLAB simulation source code, Each folder with all of this code notes!)

Interpolacja medianowa Lagrangea

本文提出了一种节点密度和剩余能量传感器网络加权分群算法，该分群算法优化了群首 选择，均衡了网络节点的能量消耗，延长了网络的生命周期(This paper proposes a residual energy of sensor nodes in the network density and weighted clustering algorithm, the clustering algorithm to optimize the group' s first choice, balancing the energy consumption of network nodes to extend the network life cycle)

这是一个关于数字信号处理的PPt基础课件。(it is a lession for dsp base)

这是一个基于DTW的语音识别算法，由matlab实现，相信对大家有帮助。(This is a DTW-based speech recognition algorithm by matlab to achieve, I believe that everyone has to help.)