ASR

psk modulation is done using simulink model in this document. hope u get knowledge

Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. The number of principal components is less than or equal to the numbe

simulink model of dc to dc boost converter. the important thing it is in closed loop using p i controller. it is for study purpose..

说明：  matlab6.5辅助小波分析与应用例程 希望对大家能有所帮助(matlab6.5 assisted with the application of wavelet analysis routines we can hope for help)

a new clustering algorithm source code in MATLAB

在matlab环境先应用编程实现PFD的功能，并对其进行分析。(MATLAB PFD desire)

用改进的粒子滤波算法实现基于红外图像序列的目标跟踪( an improved particle filter tracking algorithm for target tracking based on infrared image sequences)

shenasai system control modern

使用快速傅里叶变换fft实现带有高斯白噪声的频谱估计(Using fast Fourier transform fft achieve spectrum estimation with Gaussian white noise)

新的2维角度估计的高分辨方法。该方法首先建立基于范数约束的最优化问题的目标函数；然后用迭代算法沿均匀面阵接收数据的方位向求最小化目标函数的稀疏解，得到方位、俯仰角耦合的空间角频率，并分离信号；最后对每个分离的信号，沿面阵俯仰向求稀疏解，得到信号的俯仰角，进而求得对应的方位角。(The new high-resolution 2-D angle estimation method. Firstly, the establishment of an objective function optimization problems based on norm constraint then iterative algorithm along with uniform orientation plane array receives data to seek to minimize the objective function is sparse solution, get directions, spatial frequency coupling angle pitch angle, and separated signals Finally for each signal separation along the sparse area array pitch to seek solutions to obtain the pitch angle of the signal, and then obtain the corresponding azimuth.)