關於信號處理函數

• 頻率通常是以赫茲秒測量，也就是取樣頻率的一小部份。頻率引數因此通常是介於 0 與 0.5。

• 許多信號處理函數以離散傅立葉轉換為根據，並利用 dft 函數。為達最佳彈性，輸入陣列的長度不限於 2 的次方。當長輸入向量的長度僅為一或兩個係數時，dft 常式可能會很慢。在極罕見的情況下，長度會是大的質數，此時，dft 函數僅可加上定義轉換的指數總和。在此情況下，長度的小量變化都可能會造成運算時間的極大差異。

• Bruce L. Bowerman and Richard T. O'Connell, Time Series Forecasting (時間序列預測), Duxbury Press (1987)

• Ronald N. Bracewell, The Hartley Transform (哈特利轉換), Oxford University Press (1986)

• Leon Cohen, Time-Frequency Analysis (時間頻率分析), Prentice-Hall (1995)

• Rafael C. Gonzalez and Paul Wintz, Digital Image Processing (數位信號處理), Addison-Wesley (1977)

• C. W. J. Granger and Paul Newbold, Forecasting Economic Time Series (預測經濟時間序列), Academic Press, Inc. (1986)

• Hwei P. Hsu, Schaum's Outline of Theory and Programming of Signals and Systems (蕭姆的信號與系統程式設計理論與應用概要), McGraw-Hill, Inc.(1995)

• S. Lawrence Marple, Jr., Digital Spectral Analysis with Applications (數位頻譜分析與應用), Prentice-Hall (1987)

• Sophocles J. Orfanidis, Optimum Signal Processing (最理想的信號處理), 2d ed, Macmillan (1988)

• T. W. Parks and C. S. Burrus, Digital Filter Design (數位濾波器設計), Wiley-Interscience (1987)

• Alan V. Oppenheim and Ronald W. Schafer, Discrete-Time Signal Processing (離散時間信號處理), Prentice Hall (1989)

• Donald B. Percival and Andrew T. Walden, Spectral Analysis of Physical Applications (實體應用的頻譜分析), Cambridge University Press (1993)

• William H. Press, Brian P. Flannery, Saul A. Teukolsky, and William T. Vetterling, Numerical Recipes in C (C 語言中的數值秘笈)), Cambridge University Press (1988)

• Programs for Digital Signal Processing (數位信號處理的程式), IEEE Press (1979)

• Lawrence R. Rabiner and Bernard Gold, Theory and Application of Digital Signal Processing (數位信號處理之理論與應用), Prentice-Hall, Inc. (1975)

• Mary Beth Ruskai et al., eds., Wavelets and Their Applications (小波與其應用), Jones and Bartlett Publishers (1992)

• Samuel Stearns and Ruth A. David, Signal Processing Algorithms (信號處理演算法), Prentice-Hall, Inc. (1988)