MATLAB与IDL数据转换

仿真4-PAM载波调制信号在AWGN信道下的误码率和误比特率性能，并与理论值相比较。假设符号周期为1s，载波频率为10Hz，每个符号周期内采样100个点。 (Simulation 4-PAM modulation signal in AWGN channel bit error rate and bit error rate performance, and compared with the theoretical value. Assuming symbol period for 1s, the carrier frequency is 10Hz, each symbol period sampling 100 points.)

移频法实现啸叫抑制，通过对回声信号做移频，使得回声信号加上输入信号不会再某一频点能量过大产生啸叫(Frequency shift method to achieve howling suppression, echo signals by frequency shift do so echo signal plus input signal will no longer produce a certain frequency can be excessive howling)

MATLAB 下的LDPC编码解码，自己编写，在7/0下通过验证(Decoding LDPC codes under MATLAB, I have written, in 7/0, validated)

simulation synchroun generator by matlab

核主成分分析是一种流行的非线性特征提取方法( Kernel principal component analysis is a popular nonlinear feature extraction method)

基于K-L的人脸识别，全面实用，可以参考。(KL-based face recognition, comprehensive and practical, can refer to.)

混合动力汽车（HEV）是在电动汽车发展过程中出现的一种低油耗、低排放、续驶历程长、价格适中，兼具纯电动汽车和传统燃油汽车优点的新型汽车，由于在技术、经济和环境等方面的综合优势，HEV 被认为是目前最切实可行的清洁汽车方案。本文以混合动力轿车项目及其整车控制系统子课题为背景，主要研究HEV 的控制策略及其在实车上的应用。包括用matlab对汽车及其控制系统建模优化。(Hybrid electric vehicle (HEV) is in the process of development of electric vehicles the emergence of a low fuel consumption, low emission, long-driving course, affordable, both pure electric vehicles and conventional fuel vehicles the benefits of new cars, due to technical, economic and environmental aspects of the comprehensive advantages, HEV is considered to be the most viable clean vehicle program. In this paper, hybrid cars and the vehicle control system sub-project issues as background, the main research HEV control strategy and its application in the real car. Including the use of matlab modeling of the vehicle and its control system optimization.)

FIR滤波matlab程序，有详细仿真结果，非常实用(FIR filtering matlab program, detailed simulation results are very useful)

Image Segmentation using Color-based segmentation and Normalizied Corss Correlation (NCC)

说明：  利用CMA算法实现4QAM信号的盲均衡，步长0.001，SNR=15，取得了较好的结果。没有实现相位补偿(Using the CMA algorithm to achieve blind equalization of 4QAM signals, with a step size of 0.001 and SNR = 15, good results have been achieved. No phase compensation)