Stf部署阿里云服务器

### Ubuntu Smartphone Test Framework Installation and Configuration For installing the Smartphone Test Framework (STF) on an Ubuntu system, preparation of a suitable environment is necessary. STF requires Node.js as it runs primarily based on JavaScript services. Installing Node.js can be done through: ```bash curl -fsSL https://deb.nodesource.com/setup_16.x | sudo -y nodejs ``` After ensuring Node.js is installed, proceed with setting up Docker since STF operates within containers for isolation and ease of deployment. ```bash sudo apt-get update sudo apt-get install docker.io sudo systemctl start docker sudo systemctl enable docker ``` With Docker ready, obtaining the official STF image becomes straightforward via pulling from Docker Hub[^1]. ```bash docker pull openstf/stf ``` To initialize STF after acquiring its container image involves running several commands to set up required volumes and networks before launching the service itself. ```bash docker network create stf_network docker volume create stf_data docker run --name=stf-db \ --net=stf_network \ -v stf_data:/data/db \ -d mongo:4.0 sleep 5s # Allow time for MongoDB initialization docker run --name=stf-redis \ --net=stf_network \ -d redis:alpine ``` Finally, executing STF entails specifying various parameters such as connecting to previously established database and Redis instances over the defined `stf_network`. ```bash docker run --name=stf \ --net=stf_network \ -p 7100:7100 \ -e DEVICE_faraday=true \ -e MONGO_URL=mongodb://stf-db:27017/stf \ -e REDIS_HOST=stf-redis \ -e PROVIDER_name=myprovider \ -e ZONE_names=default \ -d openstf/stf local ``` Configuration adjustments might include modifying firewall settings or adjusting resource allocations depending upon specific requirements or limitations encountered during setup.

### MATLAB中的短时傅里叶变换(STFT)实现与应用 在信号处理领域，短时傅里叶变换（Short-Time Fourier Transform, STFT）是一种用于分析各种频率成分随时间变化的方法。通过将整个信号分割成多个较短的时间片段，并计算每个片段内的频谱特性来工作。 #### 使用MATLAB内置函数`stft` 为了简化开发过程并提高效率，MATLAB提供了专门针对STFT操作设计好的内建命令——`stft()` 函数[^1]： ```matlab % 定义输入参数 Fs = 1e3; % 设置采样率 (Hz) t = 0:1/Fs:2-1/Fs;% 创建时间向量 x = cos(2*pi*10*t); % 构造测试正弦波形 % 执行STFT运算 [s,f,t,p]= stft(x,'SampleRate', Fs); % 可视化结果 surf(t,f,abs(s),'EdgeColor','none') view([0 90]) xlabel('Time (seconds)') ylabel('Frequency (Hz)') title('Magnitude of Short-time Fourier transform') ``` 上述代码展示了如何利用MATLAB自带工具箱快速完成一次完整的STFT流程，包括定义必要的变量、调用核心功能以及最后的结果可视化展示部分。 对于更复杂的场景或者特定需求下的定制化调整，则可能涉及到手动编写算法逻辑以满足具体应用场景的要求。这通常意味着要深入理解底层原理和技术细节，从而能够灵活运用这些知识解决实际遇到的问题。