xbtxfg

matlabGUI实现，合成识别电话拨号音，包含生成的exe可执行程序，原创(matlabGUI achieve synthetic recognition telephone dial tone, containing the generated exe executable program, original)

说明：  TURBO译码计算速对测试（菜单式） 设定计算时长，检测单位时间内的译码bit数 该程序用于定性分析各种译码算法在不同条件下的计算速度 其计算比特率是对算法复杂性的直观反映。(TURBO decoding computation speed of the test (menu type) set length of time calculated to detect bit decoding unit of time the number of procedures for the qualitative analysis of the various decoding algorithms under different conditions, the calculation speed of the bit rate is calculated directly reflects the complexity of the algorithm.)

ti so PAPR trong LTE-Advance

光流（运动估计）经典算法Horn and Schunck算法MATLAB程序(Horn and Schunck MATLAB)

偏最小二乘程序,快速拟合数据，等到一个比较理想的估计值。(Partial least squares procedure, fast fit the data, until a more satisfactory estimate.)

NSD检测边缘算子，可用于一维信号二维图像，检测阶跃边缘(NSD edge detection operator, the signal can be used for one-dimensional two-dimensional image, the edge detection step)

QPSK平方律定时同步算法实现定时误差和定时恢复(QPSK square timing synchronization algorithm ，estimate timing error and timing error correction )

说明：  通过采用matlab编程，用有限差分法来确定温度(By using matlab programming, finite difference method to determine the temperature)

为了对数据进行准确的预测，建立了双隐层BP神经网络，并提供了源数据，实现了准确的数据预测。程序能够执行，误差较小，输出接近真实值。(To accurately forecast the data, we build the two-hidden layer BP neural network and provide the original data, which will forecast the data. The program can be executed with small error which will be close to the real data.)

Multiple kernel learning is a model to merge multiple kernels by linear combination. Mostly solving the models are slow due to explicit computation of kernels. Here, we propose to approximate kernel map function explicitly in finite dimensional space. Then, we use dual coordinate descent to solve the SVM. By storing the solutions in primal, we do not have to compute the kernel explicitly. A group lasso regularization on kernel weights is solved with SVM alternatingly. This is a side-project in my research projects with Dr. Yi-Ren Yeh and Dr. Frank Wang in Academia Sinica.