matlab

数据融合的问题，比较详细，完整，看那一系列文档(Data integration issues, more detailed, complete, look at a series of documents)

说明：  I/O RW 程序。 。 。 。 。(I/O RW program. . . . .)

在瑞利衰落信道下的回加性高斯白噪声的功率谱密度和概率密度函数(In Rayleigh fading channels back to the additive white Gaussian noise power spectral density and probability density function)

运用matlab解决实际电路问题，里面包含完整的code文件以及8个figures(Use matlab to solve electrical problems)

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.)

Code to estimate dynamic models

Matlab参考书（word版），分章节，较PDF清晰多了。(Matlab reference (word version), sub-chapters, much clearer than the PDF.)

基于dct，matlab，编码，图像压缩，很有意思，下载吧(On dct, matlab, coding, image compression, is very interesting, download it)

用matlab实现语音识别的测试，解压到根目录下运行即可(Speech recognition using matlab test, extract to the root directory can be run)

说明：  时间序列趋势分析方法----长短时记忆循环网络matlab实现(Matlab implementation of long and short-term memory cycle network)