LDA-function

说明：  UCSB 的DSP信号处理8次试验的代码及问题说明word格式(UCSB DSP signal processing eight tests and the code word statement format)

LDPC的检验矩阵的生成，编码和译码过程。(The process of LDPC codes generating,encoding and decoding.)

introduction to optimization是一本介绍优化方法的很好的书籍，对各个行业的优化编写、MATLAB程序编写、或者优化入门具有重要的指导价值，建议通读。(introduction to optimization is a very good book describes optimization methods to optimize the preparation of various industries, MATLAB programming, or optimize entry has important guiding values ​ ​ recommended read.)

System modeling is a vital tool for cost reduction and design process speed up in most engineering fi elds. The paper is focused on modeling of hydraulic arm as a part of intelligent prosthesis project, in the form of 2DOF open kinematic chain.

OFDM transmitter and receiver

在MATLAB环境下实现了CDMA通信系统仿真，程序流程为：随机序列产生--WALSH码扩频--BPSK调制--加入（和不加入）高斯白噪声--BPSK解调--WALSH码解扩，对过程波形进行了存储，对加噪与不加噪情况下的解码结果进行了对比，并绘制出信噪比与误码率关系图。(In the MATLAB environment to achieve a CDMA communication system simulation, the program flow as follows: random sequence generated- WALSH yards Spread Spectrum- BPSK modulation- to join (and not to join) Gaussian white noise- BPSK demodulator- WALSH yards Solution expansion of the process of waveform storage, to add noise and without noise cases, the decoding results were compared, and draw out the signal to noise ratio and bit error rate diagram.)

说明：  OQPSK的Matlab/Simulink调制解调仿真系统，包括匹配滤波，载波恢复，定时恢复等重要模块，可以观察眼图，仿真误码率，帮助理解OQPSK系统(OQPSK Matlab/Simulink simulation system modulation and demodulation, including matching filter, Carrier Recovery, timing recovery and other important module, we can observe the eye, simulation BER help understand OQPSK system)

IEEE paper on Correlation between Hot-Spot Temperature and Aging Factor of Oil-Immersed Current Transformers

MMSE是自适应波束形成的主要算法之一。熟悉它的处理流程有助于快速了解该算法的基本思想。(MMSE is one of the main algorithms of adaptive beamforming. Familiarity with its processing flow helps to quickly understand the basic idea of the algorithm.)

说明：  MATLAB的轴承故障时域特征和频域特征提取(Bearing fault time domain feature and frequency domain feature extraction)