EIT_eidors_v3.6

Finger print recognition using minutia algorithm

自适应控制中，用Matlab算法实现增广递推最小二乘参数估计(Adaptive control, augmented with Matlab algorithm recursive least squares parameter estimation)

C++ code for computation of the inverse matrix with dimension 3x3.

this document is about designing voice recognition system using matlab and Neural networks.

分别用“m函数 和”simulink 描述了直流有刷电机的控制算法设计。(Respectively m function and simulink describes a DC brush motor control algorithm design.)

对TD-SCDMA做了一个简化的仿真，主要包括QPSK调制，扩频。结果有误比特率的值和眼图，绝对可用！(A simplified simulation of TD-SCDMA, including QPSK modulation, spreading. Result of the value of the bit error rate and eye diagram, absolutely free!)

功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。 (Power spectrum estimation is the use of a finite length data to estimate the power spectrum of the signal, widely used in various fields. Power spectrum estimation is divided into classic and modern spectral estimation spectral estimation. Commonly used methods of classical periodogram spectrum estimation method, the relevant law, the cycle graph Improvement Act, commonly used in modern spectral estimation methods have maximum entropy spectral estimation, AR model, MA model, ARMA model. Classical spectral estimation applied to signal a long sequence, its main drawback is the fluctuation power spectrum describing digital signature variance performance is poor, the frequency resolution is low, modern spectral estimation applied to signal short sequences designed to improve spectral estimation resolution, and The analysis applied to real seismic data spectrum.)

本文详细介绍了matlab对txt文件数据的导入导出问题(This paper describes a txt file matlab for data import and export issues)

NICAM（丽音）系统编解码Matlab源程序(NICAM encoder and decoder)

包括信号系统和系统响应，FFT谱分析，双线性法设计IIR数字滤波器，窗函数法设计FIR数字滤波器，四部分matlab仿真程序，以及必要的说明。(Including the signal system and the system response, FFT spectrum analysis, bilinear Design of IIR digital filters, window function method for the design FIR digital filters, four-part matlab simulation program, and the necessary instructions.)