xinhao

实现通信原理上的PCM（脉冲编码调制）调制与解调等 功能(MATLAB PCM)

初学CS，自己编了很多算法，试试发出来大家一起交流，基于CS的OMP算法(OMP algorithm based on CS)

1.约束优化问题： minRosen(Rosen梯度法求解约束多维函数的极值)(算法还有bug) minPF(外点罚函数法解线性等式约束) minGeneralPF(外点罚函数法解一般等式约束) minNF(内点罚函数法) minMixFun(混合罚函数法) minJSMixFun(混合罚函数加速法) minFactor(乘子法) minconPS(坐标轮换法)(算法还有bug) minconSimpSearch2(复合形法) (Optimization problem correlation algorithm)

扩展卡尔曼滤波算法，运行打开主程序后直接运行(Extended Kalman filter algorithm can be run directly run to open the main program)

自己编写的彩色图像分水岭分割代码，希望对大家有帮助。(I have written the code for color image watershed segmentation, we want to help.)

a sample c embedded program for beginners

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

基于小波变换的mallat算法，用于检测信号的奇异性，实现励磁涌流的鉴别(Based the wavelet transform mallat algorithm for detection signal singularity inrush current identification)

BP算法在单相逆变电源无差拍控制中的应用(BP algorithm in single-phase inverter deadbeat control of)

说明：  VQ声纹识别算法和实验. 摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．(VQ pattern recognition algorithms and experimental sound. Abstract: The linear prediction cepstral coefficients (1inear prediction cepstrum coefficient, LPCC) as the voice of the characteristic parameters, vector quantization (vector quantity, VQ) method of pattern matching, pattern recognition of sound in order to achieve authentication and identification methods relevant to this experiment. Validated, this method can distinguish between different speaker, and speaker identification experiments to do to reach a higher recognition rate.)