discrete time fourier transform matlab

Các phương pháp xử lý tín hiệu dùng bộ lọc, phương pháp Fourier Transform, STFT(  Short Time Fourier Transform)

Các phương pháp xử lý tín hiệu dùng bộ lọc, phương pháp Fourier Transform, STFT( Short Time Fourier Transform)

Ngày tải lên : 01/04/2013, 16:14
... Trong miền tần số: phương pháp Fourier Transform. - Trong miền thời gian và tần số: STFT( Short Time Fourier Transform) . 2.4.1. Phương pháp Fourier: 2.4.1.1. Biến đổi Fourier: Cho một hàm f(t) ... kết thúc của sự kiện thì Fourier không phát hiện được. 2.4.2. Phương pháp STFT: Để đạt được một biến đổi Fourier cục bộ, chúng ta có thể định nghĩa một biến đổi Fourier cửa sổ. Tín hiệu đầu ... đổi Fourier của nó được định nghĩa: () () () tfedtetfF titj , ωω ω == ∫ ∞ ∞− − (2.14) Biến đổi Fourier ngược là: () () ∫ ∞ ∞− = ωω π ω deFtf tj 2 1 (2.15) Giả sử rằng biến đổi Fourier...
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The Discrete Fourier Transform

The Discrete Fourier Transform

Ngày tải lên : 13/09/2012, 09:49
... decomposed. Chapter 8- The Discrete Fourier Transform 145 Type of Transform Example Signal Fourier Transform Fourier Series Discrete Time Fourier Transform Discrete Fourier Transform signals that ... term: transform, is extensively used in Digital Signal Processing, such as: Fourier transform, Laplace transform, Z transform, Hilbert transform, Discrete Cosine transform, etc. Just what is a transform? To ... repeat themselves in a periodic fashion. This type of Fourier transform is called the Discrete Time Fourier Transform. Periodic -Discrete These are discrete signals that repeat themselves in a periodic...
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Real-Time Digital Signal Processing - Chapter 7: Fast Fourier Transform and Its Applications

Real-Time Digital Signal Processing - Chapter 7: Fast Fourier Transform and Its Applications

Ngày tải lên : 28/10/2013, 05:15
... Circular Convolution The Fourier transform, the Laplace transform, and the z -transform of the linear con- volution of two time functions are simply the products of the transforms of the individual ... obtain Xzj ze j2pk=N   I nÀI xnz Àn      ze j2pk=N   I nÀI xne Àj2pk=Nn : 7:1:24 This is identical to evaluating the discrete- time Fourier transform X! at the N equally spaced frequencies ! k  2pk=N, k  0, 1, , N À 1. If ... frequencies f k  kf s N , k  0, 1, , N À 1: 7:3:1 322 FAST FOURIER TRANSFORM AND ITS APPLICATIONS DFT and z -transform Consider a sequence x(n) having the z -transform X(z) with an ROC that includes the unit...
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Fourier Transform Properties

Fourier Transform Properties

Ngày tải lên : 13/09/2012, 09:49
... frequency domain multiplexing. The Discrete Time Fourier Transform The Discrete Time Fourier Transform (DTFT) is the member of the Fourier transform family that operates on aperiodic, discrete signals. The ... four members of the Fourier transform family (Fourier transform, Fourier Series, DFT, and DTFT). Figure 10-1 provides an example of how homogeneity is a property of the Fourier transform. Figure ... properties of the Fourier Transform, how a mathematical change in one domain results in a mathematical change in the other domain. Linearity of the Fourier Transform The Fourier Transform is linear,...
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Fourier Transform Pairs

Fourier Transform Pairs

Ngày tải lên : 13/09/2012, 09:49
... correlating the time domain with sinusoids). Each sample in the time domain results in a cosine wave being added to the real part of the 209 CHAPTER 11 Fourier Transform Pairs For every time domain ... the time domain. Waveforms that correspond to each other in this manner are called Fourier transform pairs. Several common pairs are presented in this chapter. Delta Function Pairs For discrete ... the time domain being periodic with a period of N. In other words, if one domain is discrete, the other domain must be periodic, and vice versa. This holds for all four members of the Fourier transform...
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The Fast Fourier Transform

The Fast Fourier Transform

Ngày tải lên : 13/09/2012, 09:50
... An 8 point time domain signal can be formed by two steps: dilute each 4 point signal with zeros to make it an Chapter 12- The Fast Fourier Transform 235 TABLE 12-4 The Fast Fourier Transform in ... 12- The Fast Fourier Transform 237 EQUATION 12-1 DFT execution time. The time required to calculate a DFT by correlation is proportional to the length of the DFT squared. ExecutionTime ' ... the far right column in Fig. 12-3). 225 CHAPTER 12 The Fast Fourier Transform There are several ways to calculate the Discrete Fourier Transform (DFT), such as solving simultaneous linear equations...
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The Complex Fourier Transform

The Complex Fourier Transform

Ngày tải lên : 13/09/2012, 10:20
... continuous or discrete, and it can be either periodic or aperiodic. This defines four types of Fourier transforms: the Discrete Fourier Transform (discrete, periodic), the Discrete Time Fourier Transform ... the complex Fourier transform, they are introduced by the real Fourier transform. In the world of mathematics, the complex Fourier transform is a greater truth than the real Fourier transform. This ... Laplace and z-transforms. These complex transforms are the foundation of theoretical DSP. The Real DFT All four members of the Fourier transform family (DFT, DTFT, Fourier Transform & Fourier Series)...
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06 Quantization of Discrete Time Signals

06 Quantization of Discrete Time Signals

Ngày tải lên : 18/10/2013, 04:15
... as its domain. A discrete time, continuous amplitude signal has R as its range. A discrete time, discrete amplitude signal has Z as its range. Here, the focus is on discrete time signals. Quantization ... maps the finite set of discrete time, continuous amplitude signals into a finite set of discrete time, discrete amplitude signals. A signal x(n) is quantized one block at a time in that p (almost ... continuous time, continuous amplitude signal. If the range of x(t) is the set of integers Z, then x(t) is said to be a continuous time, discrete amplitude signal. In contrast, a discrete time signal...
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Tài liệu Table of Fourier Transform Pairs ppt

Tài liệu Table of Fourier Transform Pairs ppt

Ngày tải lên : 13/12/2013, 12:15
... waw w j++ t e a- 22 2 wa a + )2/( 22 s t e - 2/ 22 2 ws ps - e t etu a- )( wa j + 1 t tetu a- )( 2 )( 1 wa j + Ø Trigonometric Fourier Series () å ¥ = ++= 1 000 )sin()cos()( n nn ntbntaatf ww where ò òò = == T n T T n dtnttf T b dtnttf T adttf T a 0 0 0 0 0 0 )sin()( 2 ... Series () å ¥ = ++= 1 000 )sin()cos()( n nn ntbntaatf ww where ò òò = == T n T T n dtnttf T b dtnttf T adttf T a 0 0 0 0 0 0 )sin()( 2 and, )cos()( 2 , )( 1 w w Ø Complex Exponential Fourier Series ò å - ¥ -¥= == T ntj n n ntj n dtetf T FeFtf 0 0 )( 1 where, )( w w Signals &...
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Tài liệu Fast Fourier Transform part 1 doc

Tài liệu Fast Fourier Transform part 1 doc

Ngày tải lên : 21/01/2014, 18:20
... This result shows that multiplyingthe Fourier transform of one function by the complex conjugate of the Fourier transform of the other gives the Fourier transform of their correlation. The correlation ... functions is equal to the sum of the transforms. The transform of a constant times a function is that same constant times the transform of the function. In the time domain, function h(t) may happen ... properties of the Fourier transform. (We’ll use the “⇐⇒ ” symbol to indicate transform pairs.) If h(t) ⇐⇒ H ( f ) is such a pair, then other transform pairs are h(at) ⇐⇒ 1 | a | H ( f a ) time scaling”...
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Tài liệu Fast Fourier Transform part 2 ppt

Tài liệu Fast Fourier Transform part 2 ppt

Ngày tải lên : 21/01/2014, 18:20
... showed that a discrete Fourier transform of length N can be rewritten as the sum of two discrete Fourier transforms, each of length N/2. One of the two is formed from the 12.1 Fourier Transform of Discretely ... generate the required powers of W . So, the discrete Fourier transform appears to be an O(N 2 ) process. These appearances are deceiving! The discrete Fourier transform can, in fact, be computed in ... equation (12.1.6) is called the discrete Fourier transform of the N points h k . Let us denote it by H n , H n ≡ N−1  k=0 h k e 2πikn/N (12.1.7) The discrete Fourier transform maps N complex numbers...
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Tài liệu Fast Fourier Transform part 3 docx

Tài liệu Fast Fourier Transform part 3 docx

Ngày tải lên : 21/01/2014, 18:20
... isign) Replaces data[1 2*nn] by its discrete Fourier transform, if isign is input as 1; or replaces data[1 2*nn] by nn times its inverse discrete Fourier transform, if isign is input as −1. data ... in these transforms, and the fact that the Winograd transform cannot be done “in place.” Finally, an interesting class of transforms for doing convolutions quickly are number theoretic transforms. ... a slow Fourier transform, of order N 2 instead of order N log 2 N. Our advice is to stay clear of such FFT implementations, with perhaps one class of exceptions, the Winograd Fourier transform...
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Tài liệu Fast Fourier Transform part 4 pdf

Tài liệu Fast Fourier Transform part 4 pdf

Ngày tải lên : 21/01/2014, 18:20
... functionsused by the Fourier transform( a), sine transform( b), and cosine transform (c), are plotted. The first five basis functions are shown in eachcase. (For the Fourier transform, the real and ... the components of the discrete Fourier transform satisfy F N−n =(F n )* (12.3.1) where the asterisk denotes complex conjugation. By the same token, the discrete Fourier transform of a purely ... 1982, Fast Transforms: Algorithms, Analyses, Applications (New York: Academic Press). Brigham, E.O. 1974, The Fast Fourier Transform (Englewood Cliffs, NJ: Prentice-Hall). [1] Bloomfield, P. 1976, Fourier...
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Tài liệu Fast Fourier Transform part 5 pptx

Tài liệu Fast Fourier Transform part 5 pptx

Ngày tải lên : 21/01/2014, 18:20
... rows. If isign is input as −1, data is replaced by its inverse transform times the product of the lengths of all dimensions. 12.5 Fourier Transforms of Real Data in Two and Three Dimensions 525 Sample ... REFERENCES AND FURTHER READING: Nussbaumer, H.J. 1982, Fast Fourier Transform and Convolution Algorithms (New York: Springer- Verlag). 12.5 Fourier Transforms of Real Data in Two and Three Dimensions Two-dimensional ... two-dimensional grid 0 ≤ k 1 ≤ N 1 − 1, 0 ≤ k 2 ≤ N 2 − 1, we can define its two-dimensional discrete Fourier transform as a complex function H(n 1 ,n 2 ), defined over the same grid, H(n 1 ,n 2 )≡ N 2 −1  k 2 =0 N 1 −1  k 1 =0 exp(2πik 2 n 2 /N 2 )exp(2πik 1 n 1 /N 1 )...
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