random_delete

LADT ECG Compression Algorithm 2

说明：  DGM model generate for serial robot

语音处理的短时时域处理技术中的短时过零率的MATLAB编程( In pronunciation processing short-time time domain processing technology short-time zero rate MATLAB has programmed )

EEMD是针对EMD方法的不足,提出了一种噪声辅助数据分析方法。EEMD分解原理为:当附加的白噪声均匀分布在整个时频空间时,该时频空间就由滤波器组分割成的不同尺度成分组成。当信号加上均匀分布的白噪声背景时,不同尺度的信号区域将自动映射到与背景白噪声相关的适当尺度上去。当然,每个独立的测试都可能会产生非常嘈杂的结果,这是因为每个附加噪声的成分都包括了信号和附加的白噪声。既然在每个独立的测试中噪声是不同的,当使用足够测试的全体均值时,噪声将会被消除。全体的均值最后将会被认为是真正的结果,唯一持久稳固的部分是信号本身,所 加入的多次测试是为了消除附加的噪声。(The EEMD collection of experience decomposition is improved on the basis of the EMD more given a data processing method!)

matlab源码 船舶自适应部分 可以参考(matlab source code can refer to parts of the ship adaptive)

说明：  基于matlab 的 iir高通滤波器设计，可以过滤150Hz以下的噪声；使用时把音频路径替换正自己的音频路径即可运行。(The design of IIR high pass filter based on Matlab can filter the noise below 150Hz; when using, the audio path in the file can be changed to its own path to run)

f the input is a numeric array, it returns a cell array of strings of on or off depending on the logical outcome. Conversely, if the input is a cell array of strings of on or off , then it does the reverse, i.e. returns the logical matrix where on is true and off is false. It is very useful when using set/get on arrays of handle objects or arrays of properties/values. Example: onoff( [0, 1, 0]) gives { off , on , off } onoff({ on , on , off }) gives [1, 1, 0] It also works for mixed cell array inputs, and for other string pairs: yes/no, ok/cancel, open/closed

MATLAB 考题整理，附带了详细的答案，很好的资料(MATLAB exam finish, with a detailed answer, very good information)

some notes abou svd in matlab functions

说明：  croston方法。对间歇性需求数据进行预测的经典方法(Croston method. Of intermittent demand data for prediction of the classical method)