MIMO

基追踪算法，通用程序，稀疏性恢复、压缩感知两大算法之一(Base tracking algorithm, common procedures, sparsity recovery, one of the two compression algorithms perception)

经过改良的经验模态分解降噪方法，认为噪声为高斯噪声。(The improved empirical mode decomposition denoising method considers noise as Gauss noise.)

Phash software base version

通过matlab仿真验证HDB3码的原理,分析HDB3码的优缺点. (HDB3 code by matlab simulation principle, analyze the advantages and disadvantages HDB3 code.)

C#小波分析源程序，不同于matlab，完全底层的代码(C# source wavelet analysis, unlike matlab, full underlying code)

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

低比特图像压缩的 matlab实现，主要是游程编码(Matlab low bit image compression to achieve, mainly RLE)

典型二阶系统的模糊控制与传统PID控制的性能比较(typical second-order system with the traditional fuzzy control PID control of the performance comparison)

用MATLAB实现的bpsk调制 包含正弦波信号。。(Implemented using MATLAB contains sine wave modulation signal bpsk. .)

基于最小均方误差准则的LMS算法对淹没在噪声中的信号进行的有效的提取.(based on the minimum mean square error criteria LMS algorithm drowned in the noise signal the effective extraction.)