Adaptive-Equalization-for-Digital-Communications

不同结构元素的腐蚀效果。MATLAB环境代码，配有实验用图。《精通Matlab数字图像处理与识别》(Corrosive effects of different structural elements. MATLAB environment code with experimental Figure)

With the Matlab the Noisetracking algorithm proposed can be implemented

Root Locus Design tool for function

The goal of this paper is to describe processes how to simulate the lifetime of the WSN network during a data gathering. We describe tasks such as topology generation and visualization, data routing and communication cost calculation. To estimate lifetime of network, we have proposed the Matlab energy model that goes the analysis of the real Zigbe network.

In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role. The installation of DGs directly affects the power requested or purchased. The sizing and placement of DGs in the system must be optimal because a wrong choice has a negative impact on the system behavior. To solve this combinatorial problem, an algorithm known as Firefly algorithm is proposed in this paper. This is a meta-heuristic algorithm inspired by the behavior of fireflies flashing. The main objective of firefly flash is to act as a signaling system to attract other fireflies. Networks tested IEEE69-bus and IEEE33-bus are used to evaluate the effectiveness of this method. The results are compared with those obtained by genetic algorithm (GA) to IEEE69-bus, and Shuffled frog leaping algorithm (SFLA) for IEEE 33-bus.

matlab code for beging cc motor...

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

雷达回波信号消噪的仿真和实现 基于Mallat算法的滤波器设计及用于信号消噪实现(Simulation and Implementation of Radar Echo Signal Denoising)

CVSD编解码算法:实现了无线通信系统中CVSD编码和解码实现(encoding and decoding for cvsd)

给出卫星适当的初始位置和速度，利用其运动微分方程，求出2－3个周期内的轨道，并画出机械能和动量矩的大小随时间变化的曲线。(Given appropriate initial satellite position and velocity, using the equations of motion, find the 2-3 cycle track, and draw mechanical energy and angular momentum of the size of the curve over time.)