MathWorks - Mobile View
  • MathWorks 㚢㚫㚦㒳㒆への㚵㚤㒳㚤㒳MathWorks 㚢㚫㚦㒳㒆への㚵㚤㒳㚤㒳
  • Access your MathWorks Account
    • マイ アカウント
    • コミュニティのプロファイル
    • ライセンスを関連付ける
    • サインアウト
  • 製品
  • ソリューション
  • アカデミア
  • サポート
  • コミュニティ
  • イベント
  • MATLAB を入手する
MathWorks
  • 製品
  • ソリューション
  • アカデミア
  • サポート
  • コミュニティ
  • イベント
  • MATLAB を入手する
  • MathWorks 㚢㚫㚦㒳㒆への㚵㚤㒳㚤㒳MathWorks 㚢㚫㚦㒳㒆への㚵㚤㒳㚤㒳
  • Access your MathWorks Account
    • マイ アカウント
    • コミュニティのプロファイル
    • ライセンスを関連付ける
    • サインアウト

ビデオ・Webセミナー

  • MathWorks
  • ビデオ
  • ビデオ ホーム
  • 検索
  • ビデオ ホーム
  • 検索
  • 営業へのお問い合わせ
  • 評価版
  Register to watch video
  • Description
  • Full Transcript
  • Related Resources

Signal Analysis Made Easy with the Signal Analyzer App

Esha Shah, MathWorks

Learn how to perform signal analysis tasks in MATLAB® with the Signal Analyzer app. You can perform signal analysis techniques such as visualizing and preprocessing the signal; and filtering, identifying, and measuring relevant features without writing any code.

See how the Signal Analyzer app can also help you:

  • Import and visualize signal data
  • Preprocess and filter signals to enhance the quality of the signal
  • Visualize the signal in time domain and frequency domains
  • Analyze and measure trends, peaks, and other characteristic features of the signal

The Signal Analyzer App in the Signal Processing toolbox lets you visualize, analyze, and compare signals in the time, frequency and time-frequency domains without needing to write any code.

You can explore signals and identify and extract key features. You can also easily apply various preprocessing techniques to the signals in the app. The app provides a way to work with many signals at the same time and in the same view.

The Signal Analyzer app can be launched from the MATLAB command line, or from the apps gallery. All supported signals in the MATLAB workspace are available in the workspace browser here. The app accepts MATLAB variables including timetables and complex signals. You can drag the signal you are interested in, into the display to visualize it. 

You can add time information and sample rate for the signal or bring in signals as timetable which has inherent time information. The signal can then be explored in the time domain. You can use the spectrum and time-frequency views to analyze the signal in different domains. Using the panner option, in the display tab you can zoom into and navigate to specific regions of the signal. 

When the panner is activated and zoomed in on a particular region, you can look at the windowed region in all views simultaneously. As you explore and inspect your signals, if you find regions that you want to analyze separately, the ‘Extract Signals’ option enables you to extract these regions and save them as separate signals. You can measure signal values using the data cursors.

If you want to perform preprocessing on a signal, the app provides built-in functions to perform filtering, detrending, and resampling. You can also compute signal envelopes and smooth signals using moving averages, regression, Savitzky-Golay filters, or other methods. The app also allows you to bring in custom preprocessing functions for your signals.

For this signal, we will apply a low pass filter to extract low frequency components. Finding the best preprocessing technique can be a trial and error process, and the app allows you to create duplicate signals to preserve the original before performing preprocessing. You can also revert the preprocessing if required.

The app provides other advanced spectral analysis techniques as well. If you are analyzing signals, which may have transients or hidden components such as this broadband signal which has narrowband interference, the power spectrum may not be helpful to detect the interference. Here you can use the persistence spectrum to find the interference. The persistence spectrum is a histogram in power-frequency space. 

There are many options for the time-frequency view as well. You can set values for different parameters and apply reassignment to a spectrogram when required, which sharpens the spectrogram and makes it easier to interpret. 

If you have the wavelet toolbox, you can use the scalogram which is a representation of the wavelet transform and can be used to identify signals with low-frequency components and to analyze signals whose frequency content changes rapidly with time, such as this hyperbolic chirp signal.

Once you have completed analyzing the signals, you can export the modified signals from the app into the MATLAB workspace. The app also provides the option to generate MATLAB code for preprocessing and analysis tasks performed in the app. Here, we will generate MATLAB code for the scalogram. This enable you to easily integrate the code into your signal processing applications and allows your colleagues to replicate your results. You can also save an entire session in the Signal Analyzer if you want to continue working on it later.

If you need help with the app, navigate to the documentation using the Help button on the top right to find all the information you need about Signal Analyzer. You can find many examples for Signal Analyzer App here.

Related Products

  • Signal Processing Toolbox
  • Wavelet Toolbox

Learn More

Time-Frequency Analysis
Measurements and Feature Extraction
Related Information
Signal Analyzer

Feedback

Featured Product

Signal Processing Toolbox

  • Request Trial
  • Get Pricing

Up Next:

3:39
Signal Smoothing

Related Videos:

42:45
Signal Processing and Machine Learning Techniques for...
4:33
Determining Signal Similarities
39:18
Signal Processing for Machine Learning
1:46
What Is Signal Processing Toolbox?

View more related videos

MathWorks - Domain Selector

Select a Web Site

Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .

Select web site

You can also select a web site from the following list:

How to Get Best Site Performance

Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.

Americas

  • América Latina (Español)
  • Canada (English)
  • United States (English)

Europe

  • Belgium (English)
  • Denmark (English)
  • Deutschland (Deutsch)
  • España (Español)
  • Finland (English)
  • France (Français)
  • Ireland (English)
  • Italia (Italiano)
  • Luxembourg (English)
  • Netherlands (English)
  • Norway (English)
  • Österreich (Deutsch)
  • Portugal (English)
  • Sweden (English)
  • Switzerland
    • Deutsch
    • English
    • Français
  • United Kingdom (English)

Asia Pacific

  • Australia (English)
  • India (English)
  • New Zealand (English)
  • 中国
    • 简体中文Chinese
    • English
  • 日本Japanese (日本語)
  • 한국Korean (한국어)

Contact your local office

  • 営業へのお問い合わせ
  • 評価版

製品を見る

  • MATLAB
  • Simulink
  • 学生向けソフトウェア
  • ハードウェア サポート
  • File Exchange
試す、購入する
  • ダウンロード
  • 評価版ソフトウェア
  • 営業へのお問い合わせ
  • 価格とライセンス
使い方を学ぶ
  • ドキュメンテーション
  • チュートリアル
  • MATLAB の例
  • ビデオ・Webセミナー
  • トレーニング

サポートを受ける

  • インストールのヘルプ
  • MATLAB Answers
  • 技術コンサルティング
  • ライセンスセンター
  • サポートへのお問い合わせ

MathWorks について

  • 採用情報
  • ニュースルーム
  • 社会貢献
  • 営業へのお問い合わせ
  • MathWorks について

MathWorks

Accelerating the pace of engineering and science

MathWorksはエンジニアや研究者向け数値解析ソフトウェアのリーディングカンパニーです。

ディスカバー…

  • Select a Web Site United States
  • 特許
  • 商標
  • プライバシー ポリシー
  • 違法コピー防止
  • アプリケーション ステータス

© 1994-2021 The MathWorks, Inc.

  • Facebook
  • Twitter
  • Instagram
  • YouTube
  • LinkedIn
  • RSS

MATLAB を語ろう