CHARACTER-DETECTION

Software Algorithm engineering

基于+MATLAB+的时域信号采样及频谱分析(+ MATLAB+ based on the time-domain signal sampling and spectral analysis)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(P0301: digital image data display matrix and its Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: gray-scale transformation of the methods used to enhance image contrast P0304: Histogram of homogenization P0305: simulated images by the Gaussian white noise and salt and pepper noise P0306: A two-dimensional median filter function medfilt2 by the salt and pepper noise to the image filtering P0307: the use of MATLAB function in the noise interference of filter2 images mean filter P0308: Wehner adaptive image filtering P0309: the use of five kinds of different gradient enhanced image sharpening method P0310: the image of the high-pass filter and mask to deal with P0311: the use of Butterworth (Butterworth) low pass filter on the subject of the image noise smoothing P0312: the use of Butterworth (Butterworth) high-pass filter for sharpening images)

实现IIR算法,matlab中的一个很好的典例，仅供大家参考(realise the IIR calculation)

Matlab 多小波变换SPHIT编码的图像压缩技术(Matlab based multiwavelet transform SPHIT coding image conpress)

城市倒流交通双层规划，优化计算，模型，智能算法(Based on the reliability of urban road network optimization model and algorithm)

使用ＭＡＴＬＡＢ工具，对信号进行采集调制，再进行信号解码．对信号进行算法控制．(The use of MATLAB tools, modulation of signal acquisition, and then decode the signal. The signal control algorithm.)

解码程序,用于对低频信号进行去噪解码处理，抗造性能强(Decoding process for the low-frequency signal de-noising decoding process, strong anti-created performance)

The package includes the MATLAB code of the multi-instance learning algorithm miFV, which is an efficient and scalable MIL algorithm. miFV maps the original MIL bags into a new feature vector representation, which can obtain bag-level information, and meanwhile lead to excellent performances even with linear classifiers. In consequence, thanks to the low computational cost in the mapping step and the scalability of linear classifiers, miFV can handle large scale MIL data efficiently and effectively. A Readme file and some data files are included in the package.

说明：  1.这是一个递推极大似然算法代码; 2. 附一份PDF说明文件.(1.This is a recursive maximum likelihood mehod code; 2.There is the PDFfile.)