speech-recovery

加窗程序，包含了各种分析窗，经过调试已经通过！(Windowed program, including a variety of analysis window, after debugging has passed!)

对涡旋光场光波传输进行仿真，对于不同拓普电荷情况仿真输出。(Lightwave transmission vortex light field simulation for different situations TOP charge simulation output.)

说明：  用matlab进行图像处理，包括图像灰度，频谱，恢复等(Image processing using matlab, including gray, spectrum, restoration)

压缩感知中压缩采样匹配追踪算法，用于稀疏信号的重构(Compressed sensing algorithm in the compressed sample matching pursuit for sparse signal reconstruction)

direct sequence spread spectrum

source input for RAKE

快速傅里叶变换实用程序，使用matlab内置函数库(Fast Fourier Transformation)

说明：  基于Labview与Matlab混合编程的应用研究实例(Examples of applied research based on Labview and Matlab)

该函数给出无限大障板上圆形活塞声源辐射的声场随时间分布状态图，主要包括：声源辐射随传播时间变化的声场二维分布图和随时间变化的动画(This function simply-supported boundary conditions given on circular piston the sound field radiation over time distribution state figure, mainly including: sound radiation to the propagation of 2 d time change acoustic field distribution and change over time the animation )

The reliable data delivery is a challenging task in Wireless Sensor Networks (WSNs) due to dynamic and unpredictable changing behaviors of nodes. The traditional cryptographic and authentication based schemes can’t be adopted due to their associated cost and incapability to counter nodes misbehavior attacks. Recently, trust based solutions have proved to be more effective to address nodes’ misbehavior attacks. Apart isolating misbehaving nodes, the existing trust based schemes lacks the capability to minimize link failure notifications due to transient transmission disruption which consequently give rise to frequent route breakages thereby undermining throughput and route stability. Moreover, the existing solutions give rise to high energy consumption and control overhead in pursuit of trust estimation and network-wide dissemination which not only adds to network congestion but also undermines network lifetime. In this paper, we present a Trust and Energy aware Routing Protocol (TERP) that