iris

本人收集的几十篇关于小波去噪的论文，对于各个领域研究去噪的朋友有很大帮助(I collected dozens of papers on wavelet denoising, for research in various fields Denoising friends are very helpful)

gauss seidel program

该源代码应用于对传感器接收到的原始时域信号进行c扫描成像，应用于无损检测领域。(The source code is applied to the sensor receives the original time-domain signal c-scan imaging, used in non-destructive testing in the field.)

说明：  最新版libsvm安装包和SVM回归预测模型，包含预测数据集(SVM regression prediction model)

一种matlab工具箱，关于PPCATSS的。(a kind of matlab toolbox.....)

说明：  本程序是用MATLAB编写，以后请MATLAB高手多进来切磋，请各位高手指教，看了后给点评价。谢谢！(this program is prepared using MATLAB, after many requests come in MATLAB master skills, the experts advise you please, after reading them to the point evaluation. Thank you!)

WIMAX_WZ_withencoding:信道估计，相位噪声补偿，频偏估计，编解码都有 WIMAX_WZ_withoutencoding：在上面的工程基础上，去掉编解码部分 WIMAX_WZ_withoutprocessing：在上面的工程基础上，再去掉相位噪声补偿，频偏估计 WIMAX_WZ_withoutprocessing2：在上面的工程基础上，改用新的前导和导频联合信道估计方案,参考文档《基于802_16d标准的OFDM信道估计技术的研究与实现.kdh》 因为白噪声信道仿真只能体现QPSK调制和RS-CC编码的性能，需要仿真SNR可控的SUI信道，来估计信道均衡的性能。 在多普勒频偏fd>100Hz时，联合信道估计性能才比前导估计强，否则前导估计性能更优。对于600MHz中心频率，要求收发机相对运动速度大于180km/h，这种情况出现的概率不大(WIMAX_WZ_withencoding: channel estimation, phase noise compensation, frequency estimation, the codec has WIMAX_WZ_withoutencoding: the project on the basis of the above, remove the codec section WIMAX_WZ_withoutprocessing: the project on the basis of the above, then remove the phase noise compensation, offset estimation WIMAX_WZ_withoutprocessing2: In the project on the basis of the above, use the new leader and pilot joint channel estimation scheme, the document " Standards-based 802_16d OFDM channel estimation and implementation of technology .kdh" because white noise channel simulation only reflects the QPSK modulation and RS-CC coding performance requires simulation SNR controllable SUI channel, to estimate the performance of channel equalization. When Doppler shift fd> 100Hz, joint channel estimation performance was stronger than the leading estimate, otherwise better estimation performance leader. For 600MHz center frequency transceiver requirements relative velocity )

实现LPC线性预测分析,能够提取AR模型参数并进行DCT变换处理(The realization of LPC linear prediction analysis, AR model parameters can be extracted and DCT transform)

this is program for amplitude shift keying

matlab在信号处理方面的专业培训教材 (matlab signal processing expertise in the training materials)