zudituxiang

BPSK的AWGN分析归一化，对初学者会有所帮助(BPSK Analysis of the AWGN normalized, it would be helpful for beginners)

说明：  为了测试助听器减少声反馈的应用程序；LMS算法；Matlab程序(Application Program to Test Acoustic Feedback Reduction for Hearing Aids )

基于MATLAB的语音识别描述，描述清楚，系统的描述了语音识别的方法，具有较高的参考价值。(Description and recognition based on MATLAB description is clear, the system described in speech recognition. The method has a high reference value. )

newmark方法求解非线性振动duffing方程(newmark method for solving nonlinear vibration duffing equations)

研究上课所讲谱分析方法，利用实验验证书中的结论，掌握各种谱分析方法，学会实验设计和实验结果分析。 实验内容： 所应用到的谱分析方法，包括： 1） 非参数化方法：周期图（直接法）、BT法（间接法），Welch平均周期图法 2） 参数化方法： RELAX、Capon 3） 空间谱估计：常见的DOA方法（Capon） (Experimental Objective: To study methods of spectral analysis class talking about the use of experimental verification of the conclusions of the book, to master a variety of spectral analysis methods, learn experimental design and experimental results. Experiment content: applied to the spectral analysis methods, including: 1) non-parametric methods: periodogram (direct method), BT method (indirect method), Welch average periodogram 2) parameterization: RELAX, Capon 3) spatial spectrum estimation: common of DOA method (Capon))

在matlab中，实现通信中，将有用信号从噪声信号中分离出来，用到门限比较，保持，长度匹配，减低虚警概率，提高正确率(matlab threshold detaction)

数字图像处理 取出高斯噪声的有效方法.通过matlab处理(Digital image processing effective way to remove the Gaussian noise)

说明：  摘要：用MATLAB对基带数据传输解调检测进行仿真，推导不同先验概率下，接收端最小错误的判决门限。仿真不同先验概率下的误码性能，二进制与多进制的误码性能比较，码间串扰对误码性能的影响，及频偏对串行通信误码率的影响。 关键词：MATLAB，基带传输，检测，判决门限 (Abstract: Using MATLAB for baseband demodulation simulation data derived under different prior probability, the receiver decision threshold minimum error. Simulation under different prior probability of error performance, binary and multi-bit error performance of binary comparison ISI on the BER performance, and the offset of the serial communication error rate. Keywords: MATLAB, baseband transmission, detection, decision threshold)

语音回声消除的RLS算法，空间传递函数自己模拟(echo cancellation RLS algorithm)

加入重复控制，是机器学习的例程，用于信号特征提取、信号消噪。( Join repetitive control, Machine learning routines, For feature extraction, signal de-noising.)