pca

duffing分岔程序，用于求解微分方程的分岔，研究稳定性(duffing bifurcation procedure for solving differential equations of the bifurcation of stability)

Source code for Hopfield character Recognition

image processing S7_morphological_filtering

matlab环境下编写的求解等熵涡问题，属于CFD入门级代码(matlab environment prepared isentropic vortex problem solving, is the entry-level CFD code)

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.

在matlab上实现2ASK信号的调制，以及相干解调，并给出调制/解调后的信号波形。主程序名为ASKmod.m，调用子程序为T2F.m、F2T.m、 和LPF.m。(To achieve in matlab 2ASK signal modulation, and coherent demodulation, and given modulation/demodulation of signal waveform. Main program, called ASKmod.m, call subroutine to T2F.m, F2T.m, and LPF.m.)

该程序利用多相滤波结构实现了宽带信号的信道化，相比传统信道化方法，节省了资源，提高了效率。(The program uses the polyphase filter structure to achieve a broadband signal channelization, compared to traditional methods channel, save resources and improve efficiency.)

在采样点之间的频率响应是由各采样点的加权内插函数叠加而形成的，因而有一定的逼近误差。该误差大小取决于理想频率响应的形状，理想频响特性变化越平缓，内插值越接近理想值，逼近误差越小；反之，如果采样点之间的理想频响特性变化越陡，则内插值与理想值之间的误差越大，因而在理想滤波器不连续点的两边，就会产生尖峰，而在通带和阻带就会产生波纹。用频率采样法设计的实际滤波器频率响应如图1所示。由图1可知，实际滤波器的阻带衰减取决于内插函数第一旁瓣幅度值的大小，其大小决定了所设计的滤波器的阻带性能。(Interpolation function superimposed between sampling points of the frequency response is weighted within each sampling point and the formation of, and thus have a certain degree of approximation error. The size of this error depends on the shape of the ideal frequency response and the ideal frequency response characteristic change is more gentle, interpolated and more close to the ideal value, the smaller the approximation errors Conversely, if the sampling point between the ideal frequency response characteristics of the steeper the change, and then the interpolated the larger the error between the ideal value, and thus in the ideal filter both sides of the discontinuity point, will produce spikes occurs ripple in the passband and stopband. Actual design frequency sampling filter frequency response is shown in Figure 1. Figure 1 shows, the actual filter stopband attenuation depending on the interpolation value of the size of the first side-lobe amplitude of the function that determin)

we present a practical link adaptation algorithm for MIMO-OFDM systems. The proposed solution is based on sounding the channel periodically and choosing the optimal mode that will maximize the throughput or energy efficiency (EE) while satisfying the application’s quality of service (QoS) requirements. In addition, we address practical problems such as the computational complexity of the algorithm and determination of sounding period by novel closed form solutions and iterative algorithms. Realistic link level simulations confirm that the proposed solution achieves significant improvement over existing link adaptation algorithms when the aim is to maximize the throughput, and provides orders of magnitude gain in energy efficiency compared to poorly chosen fixed modes when used for energy efficiency maximization purposes. The resulting algorithms are implemented on a real time MIMOOFDM testbed, and we report on the experimental results.

利用matlab软件对心电信号进行小波分解和降噪处理，包含原始数据(Wavelet decomposition and noise reduction processing of the ECG signal using matlab software contains raw data)