waveletthreshod

说明：  无味卡尔曼滤波程序，UKF为滤波函数，另有模拟里程计采样函数与模拟激光观测函数(Unscented Kalman filtering process, UKF for the filter function, and another simulation of the sampling function with the analog odometer laser observation function)

to calculate the colour invariance

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

关于MATLAB分类的工具箱。 希望对你有所帮助！(MATLAB toolbox on the classification. I hope for your help!)

Perfect for the beginner, this demo illustrates simple object detection

平坦衰落信道的MATLAB仿真（有多普勒频移） (Flat fading channels MATLAB simulation (with Doppler shift))

说明：  简单的预测与案例教程，适合初学者用于学习预测原理和简单的matlab代码(failed to translate)

CRC16 Algorithms and Test Example

第一：边界加强，通过估计噪声和实际信号的比值，来确定各个尺度的细节系数，以达到噪声抑制和边界加强。第二，通过对小波分解的近似部分进行直方图均衡，达到加大整幅图片的对比度，而不太影响细节的目的。(First: to strengthen the border, through the estimates and the actual signal noise ratio, to determine the details of each scale factor, so as to achieve noise suppression and boundary strengthening. Secondly, the wavelet decomposition of the approximate portion of histogram equalization to increase the contrast of the whole images, and do not affect the details of the purpose.)

说明：  分两层取两个不同速度的绕射扫描叠加偏移方法(migration code based on diffraction stack)