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这份文献主要介绍了dsp builder 8.0的功能及使用手册，介绍了如何和matlab一起使用的步骤。(This literature focuses on the dsp builder 8.0 features and user manual describes how to matlab and used in conjunction with steps.)

振动信号的功率谱的相关程序，对于信号处理是很有用的(Power spectrum of the relevant procedures)

it is music algurithm for 2d doa estimation

雷达高斯分布相干视频噪声和高斯分布中频噪声仿真(Coherent Radar Gaussian noise and Gaussian frequency video noise simulation)

matlab教材中经典的语音增强算法，voice enhancement 先读入语音文件，然后计算前后信噪比，最后画出波形。(The classic textbook matlab speech enhancement algorithms, voice enhancement before reading the speech file, and then calculate the signal to noise ratio before and after the final draw waveforms. )

MATLAB工具箱函数，适合于凸优化计算，CVX，使用简单，应用广泛(MATLAB toolbox function, suitable for convex optimization, CVX, easy to use, widely used)

bpsk信号解调算法的Matlab实现，比较简单的例子(demodulation of bpsk)

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在一个移动通信系统中，发射信号是一个未调制的音频x(t)=cos(2πft)，其中f=f0+fi。设标称载波为f0=1GHz，并设fi =512Hz。假定移动用户在一个繁忙的高速公路上距离基站l公里处的地方，从开始从每小时60公里的速度开始，其速度（在0.01秒的时间间隔内测量）以1/2的概率随机的增加或减少1/10公里每小时。试仿真移动用户在这2s的时间间隔内所接收到的信号(及其频谱)。接收信号可以表示为： y(t)=a(t)Cos[2π(fo+f1)(t-△t)] 式中 △(t)=d(t)/c 且 a(t)=k/d2(t) 在上面的表达式中d(t)是在t时刻基站与移动用户的距离，c是光速，△(t)是传播延迟，而a(t)是信号在t时刻的衰减，并假设在这2s内a(t)是一个常数。利用复低通等效模型来进行仿真。(In a mobile communication system, the transmitted signal is an unmodulated audio x (t) = cos (2πft), where f = f0+ fi. Let nominal carrier of f0 = 1GHz, and set fi = 512Hz. Assume that mobile users on a busy motorway station l kilometers place, starting the beginning of 60 kilometers per hour, the speed (measured in 0.01 second interval) to increase the probability of a random 1/2 or reducing 1/10 km/h. Simulation test signal which the mobile subscriber in the 2s time intervals of the received (and its spectrum). The received signal can be expressed as: y (t) = a (t) Cos [2π (fo+ f1) (t- △ t)] Where △ (t) = d (t)/c And a (t) = k/d2 (t) In the above expression, d (t) at time t is a base station and a mobile user s distance, c is the speed of light, △ (t) is the propagation delay, and a (t) is the attenuation of the signal at time t, and assuming that 2s within a (t) is a constant. Using complex low-pass equivalent model for emulation.)

小波包分析提取振动信号中的特征频率，经典的灰度共生矩阵纹理计算方法，可实现对二维数据的聚类。( Wavelet packet analysis to extract vibration signal characteristic frequency, Classic GLCM texture calculation method, Can realize the two-dimensional data clustering.)