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第一步是计算输人信号单边功率谱密度（ESD）。使用快 ％速傅里叶（FFr）算法将信号从时域转换到频域。因为FFr算法的输出是离散谱，而这 ％里我们需要的是连续谱，因此需要引人不同的比例因子来实现从离散谱到连续谱的转换。 ％在第二步中，我们利用迭代算法计算出相对于特定阂值的ESD的最高和最低频率，从而 ％估算出被检测信号所占用的带宽。这种算法同时适用于基带信号和已调制信号。最后， ％在第三步中，我们给出了输出图形的原代码。(The first step is calculating the input signal unilateral power spectral density (ESD). The use of fast Fourier speed (FFr) algorithm for the signal conversion from time domain to frequency domain. FFR algorithm because the output is a discrete spectrum, which we need is a continuous spectrum, so the need for food of different scale factor to achieve from the discrete spectrum to continuous spectrum conversion. In the second step, we use iterative algorithm to calculate a specific threshold in relation to the ESD of the highest and lowest frequency, thus estimated to be occupied by the signal detection bandwidth. This algorithm applies to both baseband signal and modulation signals. Finally, in the third step, we give the graphical output of the original code.)

LOW PSNR STEGNOGRAPHIC TECHNIQUE 2011

spectrum sensing paper energy detection very useful ...book

matlab机器人工具箱最新版robot9.8，里面有关于该工具箱的各方法的详细介绍的pdf文件。(matlab Robot toolbox latest version robot9.8, there are various methods descripted on the toolbox pdf file )

基于多模型的飞机舵面故障诊断与主动容错控制 (Multi Model Based Actuator Fault Diagnosis and Active Fault Tolerant Control for Flight Control Systems )

MATLAB 和c++混合编程在windows下编程(MATLAB mixed programming and c++ programming in windows)

MATLAB中SVPWM空间电压矢量模块的m语言实现(MATLAB in the space voltage vector SVPWM module m language implementation)

说明：  输入一个整数，求它的各位数字之和及位数. 例如234的各位数之和是9，位数是3。(inport a number putout anumber aaaaaaaa)

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

matlab语言，用语保存数据，具体的save用法(matlab language, language save data, save a specific use)