water_Filling_ALG

系统辨识 自适应控制 最小二乘 广义递推算法 噪声参数直接给定(system identification . Generalized least square identfication . with the noise parameters directly given)

To decode SIRC data when someone want to build some device remote control.

用proteus仿真实现逆变器，基本实现闭环控制，单片机是ATMEGA88。(The inverters are simulated by proteus, and the closed-loop control is basically realized. The single chip computer is ATMEGA88.)

matlab实现系统辨识 采用LMS（最小均方误差）估计 随机信号均值为0方差为1，加入高斯白噪声(matlab for system identification using LMS (least mean square error) estimation of random signal with mean 0 variance 1, by adding Gaussian white noise)

SQP算法的matlab实现，包括子程序的实现和整个的大问题，配合使用(The sub-problem of SQP programing)

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )

说明：  Turbo code primer用于通信系统里编码译码，误码率小，但复杂度比较高。(Turbo code primer is used for coding and decoding in communication systems, with low bit error rate but high complexity.)

可以对工程上测得的信号进行求奇异普熵，提取特征向量(Seeking singular Pu entropy, extracting a feature vector can be the signal measured in the engineering)

lab exercise programs to learn matlab. easy examples to know the basic functions used in matlab coding. we can also learn how to create a circle ,spiral etc...

In order to fulfill the implementation of this project there are three main objectives that need to be achieved: 1. To learn and apply a technique for object recognition for single and multiface detection. 2. To examine the principal component analysis (PCA) performance in multiface detection system. 3. To learn and use MATLAB to develop an intelligent system using Image processing tools.