信号处理工具箱
Perform signal processing and analysis
信号处理工具箱™提供功能和apps to analyze, preprocess, and extract features from uniformly and nonuniformly sampled signals. The toolbox includes tools for filter design and analysis, resampling, smoothing, detrending, and power spectrum estimation. The toolbox also provides functionality for extracting features like changepoints and envelopes, finding peaks and signal patterns, quantifying signal similarities, and performing measurements such as SNR and distortion. You can also perform modal and order analysis of vibration signals.
使用信号分析仪应用程序，您可以在不编写代码的时间，频率和时频域中同时预处理和分析多个信号;探索长信号;并提取利息地区。使用过滤器设计器应用程序，您可以通过从各种算法和响应中选择来设计和分析数字滤波器。两个应用程序都生成了matlab®码。
Get Started:
预处理和特征提取
Use built-in functions and apps for cleaning signals and removing unwanted artifacts before training a deep network.
Extract time, frequency, and time-frequency domain features from signals to enhance features and reduce variability and data dimensionality for training deep learning models.
Classify ECG Signals Using Long Short-Term Memory Networks
Labeling and Dataset Management
Use the Signal Labeler app to label signals with attributes, regions, and points of interest. Create different types of labels and sublabels.
Manage large volumes of signal data that are too large to fit in memory using signal datastores.
Label signals for analysis
参考例子
Use examples to get started with machine learning and deep learning for signals.
Waveform Segmentation Using Deep Learning
Exploring Signals
Use the Signal Analyzer app to analyze and visualize signals in the time, frequency, and time-frequency domains. Extract regions of interest from signals for further analysis.
信号分析器应用程序还允许您在同一时间和同一视图中测量和分析不同持续时间的信号。
从鲸歌中提取利息地区
Preprocessing data
去噪，光滑和贬值信号，为它们做好准备进行进一步的分析。从数据中删除异常值和虚假内容。
增强信号，可视化它们，并发现模式。更改信号的采样率或使采样率常数用于不规则采样信号或具有缺失数据的信号。
Processing a signal with missing samples
Descriptive Statistics
Compute common descriptive statistics like maxima, minima, standard deviations, and RMS levels. Find changepoints in signals and align signals using dynamic time warping.
Locate signal peaks and determine their height, width, and distance to neighbors. Measure time-domain features such as peak-to-peak amplitudes and signal envelopes.
Pulse and Transition Metrics
Measure rise time, fall time, slew rate, overshoot, undershoot, settling time, pulse width, pulse period, and duty cycle.
三角波形的转换速率
光谱测量
计算信号或功率频谱的带宽和平均值或中值频率。测量信噪比（SNR），总谐波失真（THD）和信号对噪声和失真率（SINAD）。测量谐波失真。
Estimate instantaneous frequency, spectral entropy, and spectral kurtosis.
Measure the Power of a Signal
数字过滤器
使用过滤器设计器应用程序设计，分析和实施各种数字FIR和IIR滤波器，例如低通，高通和BandStop。可视化幅度，阶段，组延迟，脉冲和步骤响应。
Examine filter poles and zeros. Evaluate filter performance by testing stability and phase linearity. Apply filters to data and remove delays and phase distortion using zero-phase filtering.
Analog Filters
Design and analyze analog filters, including Butterworth, Chebyshev, Bessel, and elliptic designs.
使用诸如脉冲不变性和双线性变换的离散化方法执行模数转换器转换。
Comparison of Analog IIR Lowpass Filters
光谱估计
Estimate spectral density using nonparametric methods including the periodogram, Welch's overlapped segment averaging method, and the multitaper method. Implement parametric and subspace methods such as Burg’s, covariance, and MUSIC to estimate spectra.
使用LOMB-SCAPLING方法计算非均匀采样信号的功率谱或具有缺失样品的信号。通过估计光谱相干性测量频域中的信号相似度。
Welch Spectrum Estimates
Window functions
Implement and visualize common window functions. Use the窗口设计师应用程序to design and analyze windows. Compare mainlobe widths and sidelobe levels of windows as a function of their size and other parameters.
Design and analyze spectral windows
时频分布
使用短时傅里叶变换，谱图或Wigner-Ville分布，分析信号与时变频谱内容的信号。使用跨频谱图以比较时频域中的信号。
Short-Time Fourier Transform
Reassignment and Synchrosqueezing
Use the reassignment technique to sharpen the localization of time-frequency estimates. Identify time-frequency ridges using synchrosqueezing.
Instantaneous Frequency of Complex Chirp
数据自适应变换
Perform data-adaptive time-frequency analysis using empirical mode decomposition, variational mode decomposition and Hilbert-Huang transform.
Empirical Mode Decomposition
Order Analysis
Use order analysis to analyze and visualize spectral content occurring in rotating machinery.
跟踪和提取订单及其时域波形。轨道和从振动信号中提取RPM配置文件。用时间同步平均保持噪声。
振动分析of Rotating Machinery
Modal Analysis
通过估计频率响应函数，自然频率，阻尼比和模式形状来执行实验模态分析。
Modal Analysis of a Flexible Flying Wing Aircraft
Fatigue Analysis
为疲劳分析产生高循环雨流计数。
Rainflow count for Fatigue Analysis
加速您的代码
Speed up your code by using GPU and multicore processors for supported functions.
Accelerating Correlation with GPUs
Code generation
生成生产质量C / C ++代码和MEX文件，用于使用MATLAB编码器部署桌面和嵌入式应用程序。
Generate optimized CUDA code for supported functions and use it in NVIDIA GPUs.
Code generation for Zero Phase Filtering
Signal Labeler App
执行交互式或自动信号标记
Signal Datastores
Work with signal collections that exist in the workspace or in files
时频分析
Use variational mode decomposition to extract intrinsic modes
Deep Learning Examples
Use time-frequency analysis and neural networks for classification and labeling
高阵列
Operate on tall arrays with the spectrogram and stft functions
GPU Code Generation Support
Generate CUDA code forfftfiltandstft职能
GPU加速
Accelerate谱图那czt那stft那andwvd职能
C / C ++代码生成支持万博1manbetx
生成时频分析的代码，特征提取，光谱分析，多速率信号处理和过滤器设计
看到release notes有关这些功能的详细信息和相应的功能。
