Signals and systems
著者
書誌事項
Signals and systems
Wiley, c1999
大学図書館所蔵 全18件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes index
内容説明・目次
内容説明
This text introduces the concepts and techniques used in the study of signals and linear systems. It illustrates how these techniques are applied in solving problems in digital signal processing, communication systems, and control systems and provides an integrated and balanced treatment of continuous-time and discrete-time concepts as is consistent with their roles in engineering practice. Examples of real world systems are used to give strong motivation for the study of signals and systems subject matter. The four Fourier representations are treated in parallel to emphasize similarities and differences between them. Relationships between different Fourier representations are motivated from applications, such as sampling, which involves both continuous-time and discrete-time signals in one system and thus naturally relates the discrete-time and continuous-time Fourier transforms. MATLAB is integrated in a way that preserves complete instructor flexibility. There is a separate section in each chapter devoted to exploring the concepts from the chapter with MATLAB.
The instructor can easily skip this section, or have the students work through it in parallel with the rest of the sections in the chapter. Each chapter also has numerous computer experiments designed to be performed with MATLAB.
目次
- Time-Domain Representations for Linear Time-Invariant Systems
- Fourier Representations for Signals
- Applications of Fourier Representations
- Application to Communication Systems
- Representation of Signals Using Continuous-Time Complex Exponentials: The Laplace Transform
- Representation of Signals Using Discrete-Time Complex Exponentials: The z-Transform
- Application to Filters and Equalizers
- Application to Feedback Systems
- Epilogue
- Appendices.
「Nielsen BookData」 より